a. Datasheets: Dealer Satisfaction and End-User Satisfaction
Dealer Satisfaction:
Mean Satisfaction Ratings:
Year\Region North America South America Europe Pacific Rim
2008 3.78 4.00 3.93 3.20
2009 3.92 4.00 4.00 3.40
2010 3.97 4.27 4.12 3.67
2011 4.11 4.50 4.07 4.10
2012 4.11 4.50 4.07 3.83
The mean satisfaction ratings of dealers increased each year in North America, South America, and
China when compared to Europe where the average rating dropped after 2010 and Pacific Rim after 2011.
China's ratings stand out low followed by Pacific Rim over the years.
End-User Satisfaction:
Mean Satisfaction Ratings:
Year\Region North America South America Europe Pacific Rim
2008 3.98 4.00 3.97 3.92
2009 4.04 3.95 3.96 3.95
2010 4.04 3.99 3.90 4.00
2011 4.17 4.00 4.07 4.06
2012 4.22 4.02 4.07 4.07
The mean satisfaction ratings of end-users increased each year in North America, Pacific Rim, and China
when compared to South America where there was a dip in the average rating for 2009 and Europe for 2009 and 2010.
By 2012, South America's ratings are low compared to other markets.
China began with the relatively lowest average ratings of end-users but it stands high only after North America by 2012.
b. Datasheet: 2012 Customer Survey
Quality:
Descriptive Statistics North America South America Europe Pacific Rim
Mean 4.6 4.28 4.1 4.4
Standard Error 0.065133895 0.110804111 0.154250133 0.221108319
Median 5 4 4 4.5
Mode 5 4 4 5
Standard Deviation 0.651338947 0.783503383 0.844862772 0.699205899
Sample Variance 0.424242424 0.613877551 0.713793103 0.488888889
Kurtosis 8.427294040 4.903882953 -0.385773297 -0.146103896
Skewness -2.282806015 -1.607278970 -0.566081126 -0.780105755
Range 4 4 3 2
Minimum 1 1 2 3
Maximum 5 5 5 5
Sum 460 214 123 44
Count 100 50 30 10
Price:
Descriptive Statistics North America South America Europe Pacific Rim
Mean 3.71 3.5 3.9 4.1
Standard Error 0.110366698 0.149147236 0.199712437 0.179505494
Median 4 4 4 4
Mode 4 4 4 4
Standard Deviation 1.103666982 1.054630219 1.093870067 0.567646212
Sample Variance 1.218080808 1.112244898 1.196551724 0.322222222
Kurtosis 0.013829301 -0.281588519 1.708055362 1.498216409
Skewness -0.779332096 -0.598061703 -1.314259067 0.091120379
Range 4 4 4 2
Minimum 1 1 1 3
Maximum 5 5 5 5
Sum 371 175 117 41
Count 100 50 30 10
China's ratings, and to some extent South America's, stand out as being lower when compared to more mature markets, such as North America and Europe.
Of particular concern is an extremely low average of service and price ratings in China, as well as relatively low average of price ratings in South America.
On the other hand, quality ratings, and to some extent, the ease of use ratings, are consistently high across all markets, but especially in more developed markets of North America and Pacific Rim.
Standard deviations are comparable across different types of ratings and different markets, with few higher readings in the price and service columns, but nothing apparent stands out.
The customer ratings are negatively skewed across all markets for all the attributes except for the ease of use ratings in China and the price ratings in Pacific Rim which are positively skewed.
The distribution of the price ratings of customers in China are perfectly symmetrical and unimodal with zero skewness coefficient and equal mean, median, and mode.
The ease of use ratings in Europe and China, the price ratings in Pacific Rim, and the service ratings in Pacific Rim and China are relatively symmetrical.
The quality and ease of use ratings in North America and South America and the service ratings in South America have peaked distributions with less dispersion.
c. Datasheet: Response Time
Descriptive Statistics: Q1 2011 Q2 2011 Q3 2011 Q4 2011
Mean 3.915954427 3.725060970 3.747363814 4.452930559
Standard Error 0.20958581 0.270960545 0.197833709 0.299607624
Median 3.82870674 4.01261443 3.601591975 4.154410088
Mode #N/A 0.9 #N/A 1
Standard Deviation 1.481995475 1.915980388 1.398895569 2.118545827
Sample Variance 2.196310589 3.670980849 1.956908813 4.488236423
Kurtosis 0.09341853 -0.33712730 -0.36298017 -0.69050912
Skewness 0.22320500 0.32383932 0.00521022 0.22418571
Range 7.019138265 7.312489182 5.856213457 8.029614079
Minimum 1 0.9 0.9 0.9
Maximum 8.019138265 8.212489182 6.756213457 8.929614079
Sum 195.7977214 186.2530485 187.3681907 222.646528
Count 50 50 50 50
The average response time taken by the PLE customer-service personnel to respond to service calls was highest in the fourth quarter of 2011 associated with more deviation.
The average response times came down in 2012 when compared to 2011 indicating an improvement in customer-service process. By the fourth quarter of 2012, the average came down to the lowest value
along with the decrease in its standard deviation.
The response times over all the quarters of the past 2 years are positively skewed with relatively symmetrical distributions except for the third quarter of 2012 which has moderate skewness.
The response times over all quarters have flat distributions with wide degree of dispersions.
d. Datasheet: Defects After Delivery
Descriptive Statistics: 2008 2009 2010 2011
Mean 826.3333333 837.4166667 785.9166667 669.0833333
Standard Error 3.35824028 3.182476483 15.13748024 8.941271631
Median 826.5 839 805 681.5
Mode #N/A 828 804 #N/A
Standard Deviation 11.6332856 11.0244219 52.4377698 30.9734735
Sample Variance 135.3333333 121.5378788 2749.719697 959.3560606
Kurtosis -0.5802508 0.2533542 -0.2100103 0.8077759
Skewness 0.2184691 -0.1420758 -1.2120209 -1.3927823
Range 38 41 150 93
Minimum 810 816 686 603
Maximum 848 857 836 696
Sum 9916 10049 9431 8029
Count 12 12 12 12
The average number of defects per million items received every month from suppliers had slightly increased in 2009, however, there was a substantial decline there after.
Almost 40% reduction in the average number of defects in 2012 when compared to 2008.
Very high increase in the standard deviation in 2010 followed by a drop in 2011 and an increase in 2012.
The distribution of the number of defects in 2008 was positively skewed with a relatively symmetrical nature which is the same for 2012 also after undergoing apparent changes in the distribution in 2009 through 2011.
e. Datasheets: Mower Unit Sales, Tractor Unit Sales, Industry Mower Total Sales, and Industry Tractor Total Sales
Monthly Mower Sales:
Descriptive Statistics: NA SA Europe Pacific
Mean 7542.333333 282.3333333 1149 172.5
Standard Error 227.3237029 6.108097185 48.70277664 4.810681383
Median 7870 280 1260 170
Mode 9050 250 1590 150
Standard Deviation 1760.841831 47.31311735 377.2500856 37.26337776
Sample Variance 3100563.955 2238.531073 142317.6271 1388.559322
Kurtosis -1.23546088 -0.292972034 -0.846354386 -1.194524397
Skewness -0.118689164 0.177919554 -0.533710658 0.044602887
Range 6020 210 1350 140
Minimum 4350 180 300 100
Maximum 10370 390 1650 240
Sum 452540 16940 68940 10350
Count 60 60 60 60
Coefficient of Variation CV 23.35 16.76 32.83 21.60
The dispersions of industry mower sales relative to its mean are low over all markets when compared to the PLE mower sales. However, the difference is relatively small.
Also, the coefficients of variation for overall mower sales and overall industry mower sales are almost the same.
Monthly Tractor Sales:
Descriptive Statistics: NA SA Eur Pac
Mean 1075.033333 598.35 647.9666667 272.1833333
Standard Error 75.70645423 30.37211612 12.19310184 5.014188438
Median 835 605 647.5 270
Mode 570 280 680 290
Standard Deviation 586.4196729 235.2613999 94.44736076 38.83973663
Sample Variance 343888.0328 55347.92627 8920.303955 1508.525141
Kurtosis -0.131806303 -1.272932271 -0.377763165 -0.471209155
Skewness 1.005044941 0.001040499 0.403752331 -0.086968195
Range 2130 752 408 160
Minimum 360 250 480 190
Maximum 2490 1002 888 350
Sum 64502 35901 38878 16331
Count 60 60 60 60
Coefficient of Variation CV 54.55 39.32 14.58 14.27
Compared to the PLE tractor sales, the dispersions of industry tractor sales relative to its mean are low over all markets except for Pacific (slight difference).
For North America and China, there is a huge difference between the coefficients of variation for tractor sales and industry tractor sales.
Overall, the dispersion of PLE tractor sales relative to its mean is high over the industry tractor sales.
Correlation between Monthly Mower Sales and Industry Mower Sales:
NA SA Eur Pac
Correlation coefficient 0.996 0.757 0.979 0.990
There is a very strong positive linear relationship between the monthly mower sales and the industry mower sales in North America, Europe, and Pacific. The relation is moderate in South America.
Overall, an increase (decrease) in the monthly mower sales will result in an increase (decrease) in the industry mower sales or vice versa.
Correlation between Monthly Tractor Sales and Industry Tractor Sales:
NA SA Eur Pac
Correlation coefficient 0.893 0.999 0.919 0.980
There is a very strong positive linear relationship between the monthly tractor sales and the industry tractor sales in all markets. The relation is actually perfect in South America.
Overall, an increase (decrease) in the monthly tractor sales will result in an increase (decrease) in the industry tractor sales or vice versa.
Standard deviations of the Satisfaction Ratings:
China Year\Region North America South America Europe
- 2008 0.975 0.667 0.884
- 2009 0.853 0.667 0.845
3.00 2010 0.938 0.828 0.726
3.14 2011 1.072 0.863 0.640
3.69 2012 1.094 0.915 0.740
The mean satisfaction ratings of dealers increased each year in North America, South America, and The standard deviations of dealer ratings in North America are relatively higher over the years indicating relatively
China when compared to Europe where the average rating dropped after 2010 and Pacific Rim after 2011. more deviation of ratings from their averages when compared to other markets.
Standard deviations are low in Europe followed by China in 2012.
Standard deviations of the Satisfaction Ratings:
China Year\Region North America South America Europe
- 2008 1.101 1.054 1.039
- 2009 1.044 1.104 1.063
3.78 2010 1.063 0.990 0.990
3.86 2011 0.965 0.974 0.956
4.12 2012 0.949 0.974 0.832
The mean satisfaction ratings of end-users increased each year in North America, Pacific Rim, and China In 2012, the standard deviations of end-users' ratings in South America are higher indicating relatively more
when compared to South America where there was a dip in the average rating for 2009 and Europe for 2009 and 2010. deviation of ratings from their averages when compared to other markets.
Standard deviations are low in China.
China began with the relatively lowest average ratings of end-users but it stands high only after North America by 2012.
Ease of Use:
China Descriptive StatisticsNorth America South America Europe
3.8 Mean 4.27 3.92 4.333333333
0.290593263 Standard Error 0.082700628 0.102379845 0.120662285
4 Median 4 4 4
4 Mode 4 4 4
0.918936583 Standard Deviation0.827006284 0.723934826 0.660894552
0.844444444 Sample Variance 0.683939394 0.524081633 0.436781609
0.396220815 Kurtosis 4.015852878 5.215213212 -0.619707163
-0.601381628 Skewness -1.636641044 -1.558310533 -0.483509618
3 Range 4 4 2
2 Minimum 1 1 3
5 Maximum 5 5 5
38 Sum 427 196 130
10 Count 100 50 30
Service:
China Descriptive StatisticsNorth America South America Europe
3 Mean 4.31 4.24 3.866666667
0.210818511 Standard Error 0.074799395 0.116268514 0.184037311
3 Median 4 4 4
3 Mode 5 4 4
0.666666667 Standard Deviation 0.74799395 0.822142547 1.008013866
0.444444444 Sample Variance 0.559494949 0.675918367 1.016091954
0.080357143 Kurtosis 1.006913755 3.444965215 1.093372957
0 Skewness -1.021896119 -1.397755893 -1.015135685
2 Range 3 4 4
2 Minimum 2 1 1
4 Maximum 5 5 5
30 Sum 431 212 116
10 Count 100 50 30
China's ratings, and to some extent South America's, stand out as being lower when compared to more mature markets, such as North America and Europe.
Of particular concern is an extremely low average of service and price ratings in China, as well as relatively low average of price ratings in South America.
On the other hand, quality ratings, and to some extent, the ease of use ratings, are consistently high across all markets, but especially in more developed markets of North America and Pacific Rim.
Standard deviations are comparable across different types of ratings and different markets, with few higher readings in the price and service columns, but nothing apparent stands out.
The customer ratings are negatively skewed across all markets for all the attributes except for the ease of use ratings in China and the price ratings in Pacific Rim which are positively skewed.
The distribution of the price ratings of customers in China are perfectly symmetrical and unimodal with zero skewness coefficient and equal mean, median, and mode.
The ease of use ratings in Europe and China, the price ratings in Pacific Rim, and the service ratings in Pacific Rim and China are relatively symmetrical.
The quality and ease of use ratings in North America and South America and the service ratings in South America have peaked distributions with less dispersion.
Q1 2012 Q2 2012 Q3 2012 Q4 2012
3.088339483 3.113752768 3.202707447 2.527829583
0.22418667 0.173691725 0.180933972 0.159924593
2.972191836 3.050193944 3.164010146 2.477404708
0.9 0.9 1 0.9
1.585239144 1.228185967 1.279396385 1.130837642
2.512983145 1.50844077 1.636855109 1.278793773
-0.80818279 -0.67195824 1.30013698 -0.98310719
0.41471594 0.08943070 0.65215854 0.23265876
5.555462468 4.766074875 6.419242032 3.972437985
0.9 0.9 1 0.9
6.455462468 5.666074875 7.419242032 4.872437985
154.4169741 155.6876384 160.1353723 126.3914792
50 50 50 50
The average response time taken by the PLE customer-service personnel to respond to service calls was highest in the fourth quarter of 2011 associated with more deviation.
The average response times came down in 2012 when compared to 2011 indicating an improvement in customer-service process. By the fourth quarter of 2012, the average came down to the lowest value
The response times over all the quarters of the past 2 years are positively skewed with relatively symmetrical distributions except for the third quarter of 2012 which has moderate skewness.
0.000000000
0.500000000
1.000000000
1.500000000
2.000000000
2.500000000
3.000000000
3.500000000
4.000000000
4.500000000
5.000000000
Q1 2011 Q2 2011
Mean number of Defects
2012
496.2500000
15.65253634
484
#N/A
54.2219764
2940.022727
-1.7489635
0.2714606
139
436
575
5955
12
The average number of defects per million items received every month from suppliers had slightly increased in 2009, however, there was a substantial decline there after.
Very high increase in the standard deviation in 2010 followed by a drop in 2011 and an increase in 2012.
The distribution of the number of defects in 2008 was positively skewed with a relatively symmetrical nature which is the same for 2012 also after undergoing apparent changes in the distribution in 2009 through 2011.
Datasheets: Mower Unit Sales, Tractor Unit Sales, Industry Mower Total Sales, and Industry Tractor Total Sales
Industry Mower Sales:
World Descriptive Statistics: NA SA
9148.05 Mean 72580.8868 675.8406305
267.296501 Standard Error 2159.845853 13.44404856
9390 Median 75883.01887 654.1528239
7020 Mode 60000 625
2070.469794 Standard Deviation 16730.09403 104.1371523
4286845.167 Sample Variance 279896046.4 10844.5465
-1.189149598 Kurtosis -1.254555987 -0.706448075
-0.188903124 Skewness -0.146283286 0.418732367
6930 Range 58083.4578 424.1758242
5350 Minimum 42596.15385 461.5384615
12280 Maximum 100679.6117 885.7142857
548883 Sum 4354853.208 40550.43783
60 Count 60 60
22.63 Coefficient of Variation CV 23.05 15.41
The dispersions of industry mower sales relative to its mean are low over all markets when compared to the PLE mower sales. However, the difference is relatively small.
Also, the coefficients of variation for overall mower sales and overall industry mower sales are almost the same.
Industry Tractor Sales:
China World Descriptive Statistics: NA SA
46.65 2640.183333 Mean 7726.268307 2092.908019
6.736225745 105.013514 Standard Error 293.8581853 96.84843839
23 2408 Median 7559.52381 2176.35185
0 2324 Mode #N/A 1056.603774
0.0000000
100.0000000
200.0000000
300.0000000
400.0000000
500.0000000
600.0000000
700.0000000
800.0000000
900.0000000
2008 2009 2010 2011 2012
Mean number of Defects
52.17858025 813.431182 Standard Deviation 2276.215715 750.184778
2722.604237 661670.2879 Sample Variance 5181157.983 562777.2011
-1.253820835 -0.652116779 Kurtosis -0.180846623 -1.237075503
0.64741871 0.661643538 Skewness 0.576294655 -0.06078887
139 2884 Range 9546.415981 2412.386899
0 1592 Minimum 3913.043478 977.443609
139 4476 Maximum 13459.45946 3389.830508
2799 158411 Sum 463576.0984 125574.4812
60 60 Count 60 60
111.85 30.81 Coefficient of Variation CV 29.46 35.84
Compared to the PLE tractor sales, the dispersions of industry tractor sales relative to its mean are low over all markets except for Pacific (slight difference).
For North America and China, there is a huge difference between the coefficients of variation for tractor sales and industry tractor sales.
Overall, the dispersion of PLE tractor sales relative to its mean is high over the industry tractor sales.
World
0.990
There is a very strong positive linear relationship between the monthly mower sales and the industry mower sales in North America, Europe, and Pacific. The relation is moderate in South America.
Overall, an increase (decrease) in the monthly mower sales will result in an increase (decrease) in the industry mower sales or vice versa.
China World
0.996 0.960
There is a very strong positive linear relationship between the monthly tractor sales and the industry tractor sales in all markets. The relation is actually perfect in South America.
Overall, an increase (decrease) in the monthly tractor sales will result in an increase (decrease) in the industry tractor sales or vice versa.
Pacific Rim China
0.837 -
0.894 -
1.033 -
0.738 0.690
0.835 0.793
The standard deviations of dealer ratings in North America are relatively higher over the years indicating relatively
more deviation of ratings from their averages when compared to other markets.
Pacific Rim China
1.134 -
1.058 -
1.035 1.036
0.941 1.069
0.868 0.773
In 2012, the standard deviations of end-users' ratings in South America are higher indicating relatively more
deviation of ratings from their averages when compared to other markets.
Pacific Rim China
3.9 4.1
0.276887462 0.179505494
4 4
4 4
0.875595036 0.567646212
0.766666667 0.322222222
1.830947880 1.498216409
-1.017941299 0.091120379
3 2
2 3
5 5
39 41
10 10
Pacific Rim China
4.3 2.6
0.213437475 0.266666667
4 3
4 3
0.674948558 0.843274043
0.455555556 0.711111111
-0.282994816 0.370396205
-0.433637384 -0.389108384
2 3
3 1
5 4
43 26
10 10
The average response times came down in 2012 when compared to 2011 indicating an improvement in customer-service process. By the fourth quarter of 2012, the average came down to the lowest value
Q2 2011 Q3 2011 Q4 2011 Q1 2012 Q2 2012 Q3 2012 Q4 2012
Mean Response Time
The distribution of the number of defects in 2008 was positively skewed with a relatively symmetrical nature which is the same for 2012 also after undergoing apparent changes in the distribution in 2009 through 2011.
Eur Pac World
21120.05494 1628.22759 96004.17
860.5164591 42.71701205 2816.727
23831.2369 1552.543786 97955.18
29444.44444 1214.953271 #N/A
6665.53183 330.8845525 21818.27
44429314.58 109484.5871 4.76E+08
-0.840159589 -1.326642333 -1.13531
-0.600630677 0.05619944 -0.28109
23589.29355 1136.818182 75786.03
6976.744186 1045 53981.68
30566.03774 2181.818182 129767.7
1267203.296 97693.6554 5760250
60 60 60
31.56 20.32 22.73
Eur Pac China World
6436.149603 1322.727004 1069.885 18647.94
107.7077279 24.98474216 117.1014 467.7558
6318.272095 1298.196949 588.7446 17747.65
6666.666667 1126.760563 315 #N/A
834.3004725 193.5309806 907.0633 3623.221
696057.2784 37454.24046 822763.7 13127728
-0.459519127 -0.63268383 -1.30289 -0.59464
0.467126123 0.227442421 0.682667 0.60119
3330.44733 758.314293 2375.061 13657.27
5050.505051 974.3589744 278 13716.25
8380.952381 1732.673267 2653.061 27373.52
386168.9762 79363.62025 64193.13 1118876
60 60 60 60
12.96 14.63 84.78 19.43
Dealer Satisfaction
Survey Scale: 0 1 2 3 4 5 Sample Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2
North America Size 0 1 0 14.2884 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2008 1 0 2 14 22 11 50 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0
2009 0 0 2 14 20 14 50 2 2 4 6.3368 2 0 0 0 2 1 2 3.737777778 2 1 2 1.44 2 0 0 0
2010 1 1 1 8 34 15 60 3 14 42 8.5176 3 2 6 2 3 3 9 2.613333333 3 2 6 0.08 3 1 3 0
2011 1 2 6 12 34 45 100 4 22 88 1.0648 4 6 24 0 4 7 28 0.031111111 4 2 8 1.28 4 0 0 0
2012 2 3 5 15 44 56 125 5 11 55 16.3724 5 2 10 2 5 4 20 4.551111111 5 0 0 0 5 0 0 0
Totals 50 189 46.58 Totals 10 40 4 Totals 15 59 10.93333333 Totals 5 16 2.8 Totals 1 3 0
South America
2008 0 0 0 2 6 2 10 Mean 3.78 Mean 4 Mean 3.93333333 Mean 3.2 Mean 3
2009 0 0 0 2 6 2 10 Sample standard deviation#### Sample standard deviation#### Sample standard deviation0.884 Sample standard deviation#### Sample standard deviation cannnot be detemined because the sample size is one.
2010 0 0 1 4 11 14 30
2011 0 1 1 3 12 33 50 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2
2012 1 1 2 4 22 60 90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0
Europe 2 2 4 7.3728 2 0 0 0 2 1 2 4 2 1 2 1.96 2 1 2 1.306122449
2008 0 0 1 3 7 4 15 3 14 42 11.8496 3 2 6 2 3 2 6 2 3 1 3 0.16 3 4 12 0.081632653
2009 0 0 1 2 8 4 15 4 20 80 0.128 4 6 24 0 4 8 32 0 4 3 12 1.08 4 2 8 1.469387755
2010 0 0 1 2 15 7 25 5 14 70 16.3296 5 2 10 2 5 4 20 4 5 0 0 0 5 0 0 0
2011 0 0 1 2 21 6 30 Totals 50 196 35.68 Totals 10 40 4 Totals 15 60 10 Totals 5 17 3.2 Totals 7 22 2.857142857
2012 0 0 1 4 17 8 30
Mean 3.92 Mean 4 Mean 4 Mean 3.4 Mean 3.14285714
Pacific Rim Sample standard deviation#### Sample standard deviation#### Sample standard deviation0.845 Sample standard deviation#### Sample standard deviation0.690
2008 0 0 1 2 2 0 5
2009 0 0 1 1 3 0 5 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2
2010 0 0 1 1 3 1 6 0 1 0 15.73444444 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2011 0 0 0 2 5 3 10 1 1 1 8.801111111 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0
2012 0 0 1 2 7 2 12 2 1 2 3.867777778 2 1 2 5.137777778 2 1 2 4.4944 2 1 2 2.777777778 2 1 2 2.84765625
3 8 24 7.475555556 3 4 12 6.417777778 3 2 6 2.5088 3 1 3 0.444444444 3 5 15 2.36328125
China 4 34 136 0.037777778 4 11 44 0.782222222 4 15 60 0.216 4 3 12 0.333333333 4 8 32 0.78125
2010 0 0 0 1 0 0 1 5 15 75 16.01666667 5 14 70 7.528888889 5 7 35 5.4208 5 1 5 1.777777778 5 2 10 3.4453125
2011 0 0 1 4 2 0 7 Totals 60 238 51.93333333 Totals 30 128 19.86666667 Totals 25 103 12.64 Totals 6 22 5.333333333 Totals 16 59 9.4375
2012 0 0 1 5 8 2 16
Mean 3.97 Mean 4.27 Mean 4.12 Mean 3.67 Mean 3.69
Sample standard deviation#### Sample standard deviation#### Sample standard deviation0.726 Sample standard deviation#### Sample standard deviation0.793
Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2
0 1 0 16.8921 0 0 0 0 0 0 0 0 0 0 0 0
1 2 2 19.3442 1 1 1 12.25 1 0 0 0 1 0 0 0
2 6 12 26.7126 2 1 2 6.25 2 1 2 4.271111111 2 0 0 0
3 12 36 14.7852 3 3 9 6.75 3 2 6 2.275555556 3 2 6 2.42
4 34 136 0.4114 4 12 48 3 4 21 84 0.093333333 4 5 20 0.05
5 45 225 35.6445 5 33 165 8.25 5 6 30 5.226666667 5 3 15 2.43
Totals 100 411 113.79 Totals 50 225 36.5 Totals 30 122 11.86666667 Totals 10 41 4.9
Mean 4.11 Mean 4.5 Mean 4.06666667 Mean 4.1
Sample standard deviation#### Sample standard deviation#### Sample standard deviation0.640 Sample standard deviation####
Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2
0 2 0 33.817088 0 1 0 20.25 0 0 0 0 0 0 0 0
1 3 3 29.053632 1 1 1 12.25 1 0 0 0 1 0 0 0
2 5 10 22.30272 2 2 4 12.5 2 1 2 4.271111111 2 1 2 3.361111111
3 15 45 18.54816 3 4 12 9 3 4 12 4.551111111 3 2 6 1.388888889
4 44 176 0.551936 4 22 88 5.5 4 17 68 0.075555556 4 7 28 0.194444444
5 56 280 44.158464 5 60 300 15 5 8 40 6.968888889 5 2 10 2.722222222
Totals 125 514 148.432 Totals 90 405 74.5 Totals 30 122 15.86666667 Totals 12 46 7.666666667
Mean 4.11 Mean 4.50 Mean 4.07 Mean 3.83
Sample standard deviation#### Sample standard deviation#### Sample standard deviation0.740 Sample standard deviation####
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PACIFIC RIM CHINA
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NORTH AMERICA SOUTH AMERICA EUROPE
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End-User Satisfaction
Sample
North America 0 1 2 3 4 5 Size Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2
2008 1 3 6 15 37 38 100 0 1 0 15.8404 0 1 0 16 0 1 0 15.7609 0 2 0 30.7328 0 0 0 0
2009 1 2 4 18 35 40 100 1 3 3 26.6412 1 2 2 18 1 2 2 17.6418 1 3 3 25.5792 1 3 3 23.1852
2010 1 2 5 17 34 41 100 2 6 12 23.5224 2 5 10 20 2 4 8 15.5236 2 5 10 18.432 2 3 6 9.5052
2011 0 2 4 15 33 46 100 3 15 45 14.406 3 18 54 18 3 21 63 19.7589 3 15 45 12.696 3 6 18 3.6504
2012 0 2 3 15 31 49 100 4 37 148 0.0148 4 36 144 0 4 36 144 0.0324 4 41 164 0.2624 4 28 112 1.3552
5 38 190 39.5352 5 38 190 38 5 36 180 38.1924 5 34 170 39.6576 5 10 50 14.884
South America Totals 100 398 119.96 Totals 100 400 110 Totals 100 397 106.91 Totals 100 392 127.36 Totals 50 189 52.58
2008 1 2 5 18 36 38 100
2009 1 3 6 17 36 37 100 Mean 3.98 Mean 4 Mean 3.97 Mean 3.92 Mean 3.78
2010 0 2 6 19 37 36 100 Sample standard deviation1.101 Sample standard deviation1.054 Sample standard deviation1.039 Sample standard deviation1.134 Sample standard deviation1.036
2011 0 2 5 20 37 36 100
2012 0 2 5 19 37 37 100 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2
0 1 0 16.3216 0 1 0 15.6025 0 1 0 15.6816 0 1 0 15.6025 0 1 0 14.8996
Europe 1 2 2 18.4832 1 3 3 26.1075 1 2 2 17.5232 1 2 2 17.405 1 2 2 16.3592
2008 1 2 4 21 36 36 100 2 4 8 16.6464 2 6 12 22.815 2 5 10 19.208 2 7 14 26.6175 2 2 4 6.9192
2009 1 2 5 21 34 37 100 3 18 54 19.4688 3 17 51 15.3425 3 21 63 19.3536 3 15 45 13.5375 3 4 12 2.9584
2010 1 1 4 26 37 31 100 4 35 140 0.056 4 36 144 0.09 4 34 136 0.0544 4 41 164 0.1025 4 30 120 0.588
2011 1 1 3 17 41 37 100 5 40 200 36.864 5 37 185 40.7925 5 37 185 40.0192 5 34 170 37.485 5 11 55 14.2956
2012 0 1 2 19 45 33 100 Totals 100 404 107.84 Totals 100 395 120.75 Totals 100 396 111.84 Totals 100 395 110.75 Totals 50 193 56.02
Pacific Rim Mean 4.04 Mean 3.95 Mean 3.96 Mean 3.95 Mean 3.86
2008 2 3 5 15 41 34 100 Sample standard deviation1.044 Sample standard deviation1.104 Sample standard deviation1.063 Sample standard deviation1.058 Sample standard deviation1.069
2009 1 2 7 15 41 34 100
2010 1 2 5 16 40 36 100 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2
2011 0 2 4 17 40 37 100 0 1 0 16.3216 0 0 0 0 0 1 0 15.21 0 1 0 16 0 0 0 0
2012 0 1 3 19 42 35 100 1 2 2 18.4832 1 2 2 17.8802 1 1 1 8.41 1 2 2 18 1 1 1 9.7344
2 5 10 20.808 2 6 12 23.7606 2 4 8 14.44 2 5 10 20 2 1 2 4.4944
China 3 17 51 18.3872 3 19 57 18.6219 3 26 78 21.06 3 16 48 16 3 3 9 3.7632
2010 0 3 3 6 28 10 50 4 34 136 0.0544 4 37 148 0.0037 4 37 148 0.37 4 40 160 0 4 31 124 0.4464
2011 1 2 2 4 30 11 50 5 41 205 37.7856 5 36 180 36.7236 5 31 155 37.51 5 36 180 36 5 14 70 10.8416
2012 0 1 1 3 31 14 50 Totals 100 404 111.84 Totals 100 399 96.99 Totals 100 390 97 Totals 100 400 106 Totals 50 206 29.28
Mean 4.04 Mean 3.99 Mean 3.90 Mean 4.00 Mean 4.12
Sample standard deviation1.063 Sample standard deviation0.990 Sample standard deviation0.990 Sample standard deviation1.035 Sample standard deviation0.773
Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2
0 0 0 0 0 0 0 0 0 1 0 16.5649 0 0 0 0
1 2 2 20.0978 1 2 2 18 1 1 1 9.4249 1 2 2 18.7272
2 4 8 18.8356 2 5 10 20 2 3 6 12.8547 2 4 8 16.9744
3 15 45 20.5335 3 20 60 20 3 17 51 19.4633 3 17 51 19.1012
4 33 132 0.9537 4 37 148 0 4 41 164 0.2009 4 40 160 0.144
5 46 230 31.6894 5 36 180 36 5 37 185 32.0013 5 37 185 32.6932
Totals 100 417 92.11 Totals 100 400 94 Totals 100 407 90.51 Totals 100 406 87.64
Mean 4.17 Mean 4 Mean 4.07 Mean 4.06
Sample standard deviation0.965 Sample standard deviation0.974 Sample standard deviation0.956 Sample standard deviation0.941
Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2 Ratings (x ) Frequency (f ) f *x f *(x –mean)^2
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 2 2 20.7368 1 2 2 18.2408 1 1 1 9.4249 1 1 1 9.4249
2 3 6 14.7852 2 5 10 20.402 2 2 4 8.5698 2 3 6 12.8547
3 15 45 22.326 3 19 57 19.7676 3 19 57 21.7531 3 19 57 21.7531
4 31 124 1.5004 4 37 148 0.0148 4 45 180 0.2205 4 42 168 0.2058
5 49 245 29.8116 5 37 185 35.5348 5 33 165 28.5417 5 35 175 30.2715
Totals 100 422 89.16 Totals 100 402 93.96 Totals 100 407 68.51 Totals 100 407 74.51
Mean 4.22 Mean 4.02 Mean 4.07 Mean 4.07
Sample standard deviation0.949 Sample standard deviation0.974 Sample standard deviation0.832 Sample standard deviation0.868
2011
2012
2009
2010
2011
2012
2008
2009
2010
2011
2012
2008
2009
2010
2011
2012
2008
2009
2010
2011
2012
2008 2010
NORTH AMERICA SOUTH AMERICA EUROPE PACIFIC RIM CHINA
Mower Unit Sales Industry Mower Total Sales
Month NA SA Europe Pacific China World
Industry
Sales_NA
Industry
Sales_SA
Industry
Sales_Eur
Industry
Sales_Pac
Jan-08 6000 200 720 100 0 7020 60000 571 13091 1045
Feb-08 7950 220 990 120 0 9280 77184 611 17679 1111
Mar-08 8100 250 1320 110 0 9780 77885 658 22759 1068
Apr-08 9050 280 1650 120 0 11100 86190 778 27966 1237
May-08 9900 310 1590 130 0 11930 96117 886 27895 1313
Jun-08 10200 300 1620 120 0 12240 97143 882 30566 1176
Jul-08 8730 280 1590 140 0 10740 84757 848 29444 1359
Aug-08 8140 250 1560 130 0 10080 79804 735 28364 1238
Sep-08 6480 230 1590 130 0 8430 64800 657 28393 1215
Oct-08 5990 220 1320 120 0 7650 59307 595 24444 1154
Nov-08 5320 210 990 130 0 6650 52157 553 18000 1262
Dec-08 4640 180 660 140 0 5620 45049 462 12453 1386
Jan-09 5980 210 690 140 0 7020 58627 553 12778 1443
Feb-09 7620 240 1020 150 0 9030 76200 615 18214 1515
Mar-09 8370 250 1290 140 0 10050 82871 658 23889 1373
Apr-09 8830 290 1620 150 0 10890 84904 784 29455 1442
May-09 9310 330 1650 130 0 11420 93100 846 29464 1215
Jun-09 10230 310 1590 140 0 12270 93000 838 27414 1333
Jul-09 8720 290 1560 150 0 10720 83048 763 27368 1415
Aug-09 7710 270 1530 140 0 9650 74854 694 27321 1296
Sep-09 6320 250 1590 150 0 8310 60769 625 29444 1402
Oct-09 5840 250 1260 160 0 7510 55619 610 23774 1468
Nov-09 4960 240 900 150 0 6250 48155 571 17308 1351
Dec-09 4350 210 660 150 0 5370 42647 512 12941 1389
Jan-10 6020 220 570 160 0 6970 57885 537 10962 1509
Feb-10 7920 250 840 150 0 9160 77647 595 15273 1402
Mar-10 8430 270 1110 160 0 9970 81845 659 20556 1524
Apr-10 9040 310 1500 170 0 11020 86095 756 26786 1574
May-10 9820 360 1440 160 0 11780 91776 878 24828 1468
Jun-10 10370 330 1410 170 0 12280 100680 825 24737 1560
Jul-10 9050 310 1440 160 0 10960 86190 756 24828 1441
Aug-10 7620 300 1410 170 0 9500 71887 714 25179 1545
Sep-10 6420 280 1350 180 0 8230 60000 651 24545 1667
Oct-10 5890 270 1080 180 0 7420 55566 643 19286 1698
Nov-10 5340 260 840 190 0 6630 50857 619 15273 1810
Dec-10 4430 230 510 180 0 5350 42596 548 9107 1731
Jan-11 6100 250 480 200 0 7030 58095 581 8571 1887
Feb-11 8010 270 750 190 0 9220 75566 614 13158 1845
Mar-11 8430 280 1140 200 0 10050 80286 622 19655 1923
Apr-11 9110 320 1410 210 0 11050 85140 727 25179 1981
May-11 9730 380 1340 190 0 11640 90093 826 23103 1810
Jun-11 10120 360 1360 200 0 12040 95472 783 24286 1942
Jul-11 9080 320 1410 200 0 11010 87308 681 24737 1961
Aug-11 7820 310 1490 210 0 9830 74476 646 26607 2000
Sep-11 6540 300 1310 220 0 8370 61698 625 22982 2075
Oct-11 6010 290 980 210 0 7490 57238 617 16897 2019
Nov-11 5270 270 770 220 0 6530 50673 587 13750 2095
Dec-11 5380 260 430 230 0 6300 51238 591 7818 2150
Jan-12 6210 270 400 200 0 7080 59712 563 7547 1852
Feb-12 8030 280 750 190 0 9250 77961 571 13889 1743
Mar-12 8540 300 970 210 0 10020 83725 625 18302 1892
Apr-12 9120 340 1310 220 5 10995 90297 723 25192 2037
May-12 9570 390 1260 200 16 11436 91143 848 24706 1887
Jun-12 10230 380 1240 210 22 12082 99320 792 25306 1944
Jul-12 9580 350 1300 230 26 11486 93922 745 27083 2170
Aug-12 7680 340 1250 220 14 9504 73143 739 26042 2037
Sep-12 6870 320 1210 220 15 8635 66699 667 26304 2018
Oct-12 5930 310 970 230 11 7451 56476 660 22558 2072
Nov-12 5260 300 650 240 3 6453 51068 625 14773 2182
Dec-12 4830 290 300 230 1 5651 46893 608 6977 2035
Industry
Sales_World Correlation Matrix
74662 NA SA Europe Pacific China
96585 NA 1
102369 SA 0.695795 1
116171 Europe 0.695429 0.442263 1
126210 Pacific -0.09556 0.516729 -0.32861 1
129768 China 0.205001 0.499322 0.053353 0.436178 1
116409 World 0.99189 0.705801 0.77797 -0.11018 0.205979
110141 Industry Sales_NA 0.995798 0.671641 0.691658 -0.11762 0.21781
95065 Industry Sales_SA 0.846708 0.757116 0.760327 -0.08689 0.227465
85500 Industry Sales_Eur 0.671267 0.489672 0.979208 -0.2448 0.210247
71972 Industry Sales_Pac -0.08179 0.50363 -0.32755 0.990159 0.426583
59349 Industry Sales_World 0.971481 0.675918 0.828216 -0.15031 0.238814
73401
96545
108791
116584
124625
122585
112594
104164
92241
81470
67386
57489
70892
94917
104583
115211
118949
127801
113216
99325
86863
77193
68558
53982
69135
91182
102486
113027
115832
122482
114686
103729
87381
76771
67105
61797
69673
94165
WorldIndustry Sales_NAIndustry Sales_SAIndustry Sales_EurIndustry Sales_PacIndustry Sales_World
1
0.986714 1
0.874964 0.832355 1
0.756641 0.671977 0.759356 1
-0.09878 -0.10408 -0.09073 -0.25228 1
0.99048 0.974508 0.873663 0.820615 -0.14209 1
Tractor Unit Sales Industry Tractor Total Sales
Month NA SA Eur Pac China World
Industry
Sales_NA
Industry
Sales_SA
Industry
Sales_Eur
Industry
Sales_Pac
Jan-08 570 250 560 212 0 1592 8143 984 5091 987
Feb-08 611 270 600 230 0 1711 8592 1051 5310 1090
Mar-08 630 260 680 240 0 1810 8630 1016 6071 1127
Apr-08 684 270 650 263 0 1867 8947 1027 5856 1209
May-08 650 280 580 269 0 1779 8442 1057 5273 1221
Jun-08 600 270 590 280 0 1740 7500 1019 5315 1327
Jul-08 512 264 760 290 0 1826 6145 977 7170 1324
Aug-08 500 280 645 270 0 1695 5882 1057 5926 1268
Sep-08 478 290 650 263 0 1681 5595 1086 6075 1209
Oct-08 455 280 670 258 0 1663 5233 1045 6321 1168
Nov-08 407 290 888 240 0 1825 4494 1078 8381 1127
Dec-08 360 280 850 230 0 1720 3913 1029 7944 1085
Jan-09 571 320 620 250 0 1761 5938 1172 5688 1185
Feb-09 650 350 760 275 0 2035 6633 1273 7037 1286
Mar-09 740 390 742 270 0 2142 7327 1423 6981 1286
Apr-09 840 440 780 280 0 2340 8077 1612 7500 1346
May-09 830 470 690 290 0 2280 7830 1728 6571 1388
Jun-09 760 490 721 300 0 2271 7103 1815 6990 1449
Jul-09 681 481 680 312 0 2154 6239 1776 6667 1490
Aug-09 670 460 711 305 0 2146 6036 1685 6762 1449
Sep-09 640 460 695 290 0 2085 5664 1679 6635 1394
Oct-09 620 440 650 260 0 1970 5345 1618 6311 1256
Nov-09 570 436 680 250 0 1936 4831 1564 6476 1214
Dec-09 533 420 657 240 0 1850 4454 1522 6250 1171
Jan-10 620 510 610 250 10 2000 5299 1835 5922 1208
Feb-10 792 590 680 250 12 2324 6529 2115 6667 1214
Mar-10 890 610 730 260 20 2510 7120 2202 7228 1256
Apr-10 960 600 820 270 22 2672 7619 2151 8200 1311
May-10 1040 620 810 290 20 2780 8387 2214 7941 1415
Jun-10 1032 640 807 310 24 2813 8110 2278 7921 1520
Jul-10 1006 590 760 340 20 2716 7752 2100 7677 1675
Aug-10 910 600 720 320 31 2581 6894 2128 7200 1584
Sep-10 803 670 660 313 30 2476 6015 2367 6735 1527
Oct-10 730 630 630 290 37 2317 5368 2211 6495 1422
Nov-10 699 710 603 280 32 2324 4964 2483 6061 1366
Dec-10 647 570 570 260 33 2080 4444 1986 5816 1262
Jan-11 730 650 500 287 35 2202 5000 2257 5051 1373
Feb-11 930 680 590 290 50 2540 6284 2353 6082 1436
Mar-11 1160 724 620 300 63 2867 7785 2457 6327 1478
Apr-11 1510 730 730 310 68 3348 9934 2517 7604 1512
May-11 1650 760 740 330 70 3550 10645 2612 7789 1642
Jun-11 1490 800 720 340 82 3432 9491 2749 7347 1667
Jul-11 1460 840 670 350 80 3400 9182 2887 6979 1733
Aug-11 1390 830 610 341 90 3261 8528 2833 6489 1700
Sep-11 1360 820 599 330 100 3209 8293 2789 6316 1642
Oct-11 1340 810 560 320 102 3132 8221 2765 5833 1576
Nov-11 1240 827 550 300 110 3027 7470 2746 5789 1493
Dec-11 1103 750 520 290 114 2777 6509 2534 5591 1450
Jan-12 1250 780 480 200 111 2821 7267 2635 5106 1010
Feb-12 1550 805 523 210 121 3209 8807 2703 5474 1045
Mar-12 1820 830 560 220 123 3553 10168 2795 6022 1106
Apr-12 2010 890 570 230 120 3820 11044 2997 6064 1150
May-12 2230 930 590 253 130 4133 12120 3131 6344 1244
Jun-12 2490 980 600 270 136 4476 13459 3311 6593 1357
Jul-12 2440 1002 580 280 134 4436 13048 3390 6304 1421
Aug-12 2334 970 570 250 132 4256 12275 3277 6064 1263
Sep-12 2190 960 550 230 137 4067 11347 3232 5789 1173
Oct-12 2080 930 530 220 130 3890 10667 3131 5699 1128
Nov-12 2050 920 517 190 139 3816 10459 3087 5604 974
Dec-12 2004 902 490 190 131 3717 10082 3030 5444 979
Industry
Sales_China
Industry
Sales_World
278 15483 NA SA Eur Pac China
283 16325 NA 1
285 17129 SA 0.895081 1
288 17327 Eur -0.43722 -0.46092 1
286 16278 Pac -0.11578 0.062395 0.36599 1
287 15448 China 0.924707 0.921651 -0.60259 -0.1495 1
289 15905 World 0.98282 0.943086 -0.35357 0.015227 0.920243
290 14422 Industry Sales_NA0.893424 0.655959 -0.30587 -0.08321 0.725262
293 14258 Industry Sales_SA0.888502 0.999017 -0.44249 0.080381 0.906359
295 14061 Industry Sales_Eur-0.12032 -0.08947 0.918648 0.454954 -0.27991
298 15378 Industry Sales_Pac0.041716 0.240538 0.278382 0.980329 0.016535
301 14272 Industry Sales_China0.918631 0.905389 -0.59759 -0.14113 0.996261
306 14289 Industry Sales_World0.949738 0.837847 -0.20698 0.086159 0.829134
302 16530
303 17320
307 18842
309 17826
312 17669
315 16487
318 16250
321 15692
315 14844
318 14402
320 13716
333 14597
313 16836
606 18412
571 19852
556 20513
526 20355
513 19716
769 18575
750 17394
732 16226
714 15587
698 14207
714 14394
1063 17218
1264 19310
1333 22901
1556 24244
1739 22993
1702 22483
1915 21465
2083 21123
2128 20523
2292 19789
2245 18329
2292 18311
2449 20477
2400 22489
WorldIndustry Sales_NAIndustry Sales_SAIndustry Sales_EurIndustry Sales_PacIndustry Sales_ChinaIndustry Sales_World
1
0.840841 1
0.940076 0.652872 1
-0.00219 -0.09179 -0.06996 1
0.179835 0.025066 0.258304 0.432876 1
0.9119 0.727885 0.889187 -0.28159 0.021537 1
0.960277 0.925833 0.837497 0.110741 0.227711 0.828041 1
2012 Customer Survey
Region Quality Ease of Use Price Service
NA 4 1 3 4
NA 4 4 4 5
NA 4 5 4 3
NA 5 4 4 4
NA 5 4 5 4
NA 5 5 3 5
NA 5 4 4 2
NA 5 5 4 5
NA 4 4 4 5
NA 4 5 4 5
NA 4 5 1 4
NA 5 5 4 4
NA 5 4 3 3
NA 4 5 4 4
NA 5 4 3 5
NA 5 5 2 5
NA 5 4 2 5
NA 5 4 2 5
NA 4 5 4 4
NA 4 4 5 4
NA 4 4 2 4
NA 4 3 3 4
NA 5 5 2 5
NA 5 3 4 3
NA 5 4 4 5
NA 5 5 2 5
NA 5 5 5 3
NA 4 4 5 4
NA 5 4 4 4
NA 5 1 5 5
NA 5 4 3 5
NA 4 5 1 4
NA 4 4 3 5
NA 5 3 4 4
NA 5 5 2 4
NA 5 4 4 4
NA 5 5 4 4
NA 5 5 4 5
NA 4 3 3 5
NA 5 4 4 3
NA 5 4 3 4
NA 5 5 1 5
NA 5 4 5 4
NA 3 4 3 4
NA 5 4 2 4
NA 5 5 4 5
NA 5 5 3 4
NA 5 4 4 4
NA 5 4 4 4
NA 5 4 4 5
NA 5 4 1 4
NA 5 4 5 5
NA 5 5 3 4
NA 5 4 4 5
NA 4 3 5 5
NA 5 4 4 4
NA 5 5 5 5
NA 5 5 4 5
NA 4 4 4 4
NA 5 4 5 5
NA 4 5 5 4
NA 5 5 5 4
NA 5 5 3 5
NA 5 4 4 4
NA 5 4 5 2
NA 4 4 5 5
NA 4 4 4 5
NA 5 4 4 4
NA 5 4 3 5
NA 5 4 5 4
NA 5 5 4 5
NA 5 4 4 4
NA 5 4 5 2
NA 5 3 4 5
NA 5 4 5 5
NA 5 4 1 5
NA 4 5 3 5
NA 3 5 2 5
NA 5 5 4 4
NA 4 4 3 5
NA 3 2 4 5
NA 1 4 3 4
NA 4 5 3 5
NA 5 5 4 4
NA 4 5 5 5
NA 5 5 4 5
NA 5 5 4 4
NA 4 2 4 5
NA 5 4 5 4
NA 5 4 5 4
NA 5 5 4 3
NA 5 5 5 5
NA 4 5 5 3
NA 5 5 4 5
NA 4 4 5 5
NA 5 5 3 4
NA 4 5 2 4
NA 5 5 5 4
NA 4 5 4 3
NA 4 5 5 4
SA 5 4 3 5
SA 5 4 2 4
SA 5 4 5 5
SA 4 2 4 5
SA 5 4 4 5
SA 4 5 2 5
SA 5 4 4 4
SA 4 5 3 5
SA 4 4 4 3
SA 4 4 2 4
SA 5 4 3 4
SA 3 3 5 5
SA 5 4 3 4
SA 5 4 2 5
SA 4 4 3 4
SA 4 4 3 5
SA 1 5 3 4
SA 5 4 2 4
SA 4 4 4 4
SA 4 4 5 5
SA 5 4 2 4
SA 4 4 5 5
SA 4 4 4 3
SA 3 3 4 5
SA 5 4 4 4
SA 4 4 4 1
SA 4 5 5 5
SA 4 1 4 5
SA 4 5 4 4
SA 4 4 4 5
SA 5 4 3 4
SA 4 4 4 5
SA 5 5 4 3
SA 5 5 4 4
SA 4 4 2 4
SA 4 4 4 5
SA 5 4 4 5
SA 5 4 4 4
SA 5 4 1 4
SA 3 4 4 5
SA 4 3 5 4
SA 4 4 2 3
SA 5 4 3 3
SA 4 3 4 5
SA 5 3 5 5
SA 5 4 4 4
SA 5 4 4 4
SA 3 4 3 4
SA 4 4 1 4
SA 4 3 4 3
Eur 4 5 5 3
Eur 4 4 4 2
Eur 3 4 5 4
Eur 3 4 1 3
Eur 4 4 5 5
Eur 5 5 5 5
Eur 5 5 5 1
Eur 4 5 5 4
Eur 3 4 4 4
Eur 3 5 3 3
Eur 4 4 5 4
Eur 5 4 5 5
Eur 5 3 4 4
Eur 5 5 4 5
Eur 3 4 4 4
Eur 4 5 4 5
Eur 4 5 4 4
Eur 5 4 4 5
Eur 4 5 4 4
Eur 3 5 3 4
Eur 4 4 4 2
Eur 5 5 3 4
Eur 5 3 4 5
Eur 4 5 2 4
Eur 4 3 4 4
Eur 5 4 3 3
Eur 2 4 4 4
Eur 5 4 5 4
Eur 4 5 4 3
Eur 5 4 1 5
Pac 5 4 4 5
Pac 5 5 5 5
Pac 4 4 4 4
Pac 4 3 4 4
Pac 5 4 5 4
Pac 4 4 4 4
Pac 5 5 4 5
Pac 4 2 3 3
Pac 3 4 4 4
Pac 5 4 4 5
China 5 5 4 4
China 5 5 4 3
China 4 4 3 3
China 4 4 3 3
China 4 4 3 2
China 4 4 3 3
China 4 4 3 2
China 3 4 3 3
China 3 4 2 2
China 2 3 2 1
Response times to customer service calls
Q1 2011 Q2 2011 Q3 2011 Q4 2011 Q1 2012 Q2 2012 Q3 2012 Q4 2012
4.36 4.33 3.71 4.44 2.75 3.45 1.67 2.55
5.42 4.73 2.52 4.07 3.24 1.95 2.58 2.30
5.50 1.63 2.69 5.11 4.35 2.77 3.47 1.04
2.79 4.21 3.47 3.49 5.58 1.83 3.12 1.59
5.55 6.89 5.12 4.69 2.89 3.72 1.00 3.11
3.65 0.92 1.00 6.36 5.09 4.59 5.40 4.05
8.02 5.27 3.44 8.26 2.33 1.17 3.90 3.38
4.00 0.90 6.04 1.91 1.69 1.46 4.49 1.26
3.34 3.85 2.53 8.93 3.88 1.90 2.06 0.90
4.92 5.00 2.39 6.85 3.39 2.95 4.49 2.31
3.55 3.52 3.26 5.69 5.14 4.69 3.57 2.71
3.52 5.20 4.68 3.05 0.98 3.34 3.41 1.65
1.25 5.13 3.59 5.91 2.34 3.59 3.31 3.58
2.18 5.29 1.07 1.00 2.80 4.03 2.79 2.96
4.35 1.00 2.86 1.82 3.06 2.39 2.09 3.78
2.46 2.18 4.44 3.74 2.40 1.63 4.28 2.87
2.07 4.55 4.87 6.11 1.59 2.40 4.47 0.90
2.90 2.13 6.76 4.78 3.05 4.44 1.94 4.87
2.58 5.24 2.84 4.13 1.50 4.96 3.90 3.11
5.50 4.08 1.25 7.17 5.58 4.41 3.32 0.90
2.47 4.04 3.43 5.70 3.11 3.40 2.20 3.52
4.24 5.09 2.98 1.00 1.08 3.15 3.52 3.18
1.88 7.66 4.65 3.40 3.63 4.87 2.31 0.90
4.25 4.65 2.66 2.04 1.86 3.97 1.00 1.35
5.08 0.90 4.99 4.37 1.90 3.85 5.90 1.62
4.40 2.01 3.76 2.47 6.07 2.81 1.09 1.87
1.64 1.34 3.12 3.20 1.00 1.76 4.60 1.03
6.40 8.05 2.12 5.83 1.00 5.58 3.52 2.31
3.68 4.91 4.32 3.94 1.19 4.92 4.14 1.99
3.92 5.06 3.61 2.47 3.79 2.63 4.13 3.97
4.13 3.26 4.02 3.89 5.86 3.27 2.43 1.00
3.34 4.26 2.63 6.88 0.90 2.86 2.34 3.51
3.28 1.70 4.47 1.71 2.24 3.83 2.53 2.41
3.24 2.30 4.18 6.39 0.90 1.79 4.14 2.47
3.25 5.35 4.73 6.57 3.87 2.70 2.65 4.02
5.20 2.33 2.65 4.18 2.46 3.61 3.21 2.03
5.28 3.67 2.36 8.82 3.84 0.90 3.85 3.62
4.33 4.73 3.64 3.35 2.43 3.38 2.20 4.12
4.64 1.05 5.62 5.50 1.54 4.38 4.57 1.40
2.65 2.67 0.90 6.51 0.90 2.87 2.99 2.49
3.42 4.16 6.40 0.90 3.69 2.11 4.19 2.67
3.97 0.90 3.21 2.87 1.73 2.86 3.03 4.33
1.26 3.51 3.55 7.45 3.52 3.12 1.90 1.95
6.16 5.95 5.93 3.49 2.23 1.86 2.09 2.70
6.40 2.05 5.52 3.03 5.35 2.41 1.03 1.76
1.00 8.21 4.96 7.46 5.11 2.98 2.95 2.64
3.63 2.52 4.85 4.84 6.46 0.90 7.42 4.49
5.34 3.99 5.57 2.88 5.61 1.01 3.79 1.62
3.74 2.59 4.82 0.95 3.63 4.56 2.48 1.10
5.63 1.34 3.18 3.05 3.87 5.67 2.71 4.50
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3
4
5
6
7
8
9
10
11
12
13
14
15
16
A B C D E F
Defects After Delivery
Defects per million items received from suppliers
Month 2008 2009 2010 2011 2012
January 812 828 824 682 571
February 810 832 836 695 575
March 813 847 818 692 547
April 823 839 825 686 542
May 832 832 804 673 532
June 848 840 812 681 496
July 837 849 806 696 472
August 831 857 798 688 460
September 827 839 804 671 441
October 838 842 713 645 445
November 826 828 705 617 438
December 819 816 686 603 436
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
A B C D E F G
Mower Unit Sales
Month NA SA Europe Pacific China World
Jan-08 6000 200 720 100 0 7020
Feb-08 7950 220 990 120 0 9280
Mar-08 8100 250 1320 110 0 9780
Apr-08 9050 280 1650 120 0 11100
May-08 9900 310 1590 130 0 11930
Jun-08 10200 300 1620 120 0 12240
Jul-08 8730 280 1590 140 0 10740
Aug-08 8140 250 1560 130 0 10080
Sep-08 6480 230 1590 130 0 8430
Oct-08 5990 220 1320 120 0 7650
Nov-08 5320 210 990 130 0 6650
Dec-08 4640 180 660 140 0 5620
Jan-09 5980 210 690 140 0 7020
Feb-09 7620 240 1020 150 0 9030
Mar-09 8370 250 1290 140 0 10050
Apr-09 8830 290 1620 150 0 10890
May-09 9310 330 1650 130 0 11420
Jun-09 10230 310 1590 140 0 12270
Jul-09 8720 290 1560 150 0 10720
Aug-09 7710 270 1530 140 0 9650
Sep-09 6320 250 1590 150 0 8310
Oct-09 5840 250 1260 160 0 7510
Nov-09 4960 240 900 150 0 6250
Dec-09 4350 210 660 150 0 5370
Jan-10 6020 220 570 160 0 6970
Feb-10 7920 250 840 150 0 9160
Mar-10 8430 270 1110 160 0 9970
Apr-10 9040 310 1500 170 0 11020
May-10 9820 360 1440 160 0 11780
Jun-10 10370 330 1410 170 0 12280
Jul-10 9050 310 1440 160 0 10960
Aug-10 7620 300 1410 170 0 9500
Sep-10 6420 280 1350 180 0 8230
Oct-10 5890 270 1080 180 0 7420
Nov-10 5340 260 840 190 0 6630
Dec-10 4430 230 510 180 0 5350
Jan-11 6100 250 480 200 0 7030
Feb-11 8010 270 750 190 0 9220
Mar-11 8430 280 1140 200 0 10050
Apr-11 9110 320 1410 210 0 11050
May-11 9730 380 1340 190 0 11640
Jun-11 10120 360 1360 200 0 12040
Jul-11 9080 320 1410 200 0 11010
Aug-11 7820 310 1490 210 0 9830
Sep-11 6540 300 1310 220 0 8370
Oct-11 6010 290 980 210 0 7490
Nov-11 5270 270 770 220 0 6530
Dec-11 5380 260 430 230 0 6300
Jan-12 6210 270 400 200 0 7080
Feb-12 8030 280 750 190 0 9250
Mar-12 8540 300 970 210 0 10020
Apr-12 9120 340 1310 220 5 10995
May-12 9570 390 1260 200 16 11436
Jun-12 10230 380 1240 210 22 12082
Jul-12 9580 350 1300 230 26 11486
Aug-12 7680 340 1250 220 14 9504
Sep-12 6870 320 1210 220 15 8635
Oct-12 5930 310 970 230 11 7451
Nov-12 5260 300 650 240 3 6453
Dec-12 4830 290 300 230 1 5651
Tractor Unit Sales
Month NA SA Eur Pac China World
Jan-08 570 250 560 212 0 1592
Feb-08 611 270 600 230 0 1711
Mar-08 630 260 680 240 0 1810
Apr-08 684 270 650 263 0 1867
May-08 650 280 580 269 0 1779
Jun-08 600 270 590 280 0 1740
Jul-08 512 264 760 290 0 1826
Aug-08 500 280 645 270 0 1695
Sep-08 478 290 650 263 0 1681
Oct-08 455 280 670 258 0 1663
Nov-08 407 290 888 240 0 1825
Dec-08 360 280 850 230 0 1720
Jan-09 571 320 620 250 0 1761
Feb-09 650 350 760 275 0 2035
Mar-09 740 390 742 270 0 2142
Apr-09 840 440 780 280 0 2340
May-09 830 470 690 290 0 2280
Jun-09 760 490 721 300 0 2271
Jul-09 681 481 680 312 0 2154
Aug-09 670 460 711 305 0 2146
Sep-09 640 460 695 290 0 2085
Oct-09 620 440 650 260 0 1970
Nov-09 570 436 680 250 0 1936
Dec-09 533 420 657 240 0 1850
Jan-10 620 510 610 250 10 2000
Feb-10 792 590 680 250 12 2324
Mar-10 890 610 730 260 20 2510
Apr-10 960 600 820 270 22 2672
May-10 1040 620 810 290 20 2780
Jun-10 1032 640 807 310 24 2813
Jul-10 1006 590 760 340 20 2716
Aug-10 910 600 720 320 31 2581
Sep-10 803 670 660 313 30 2476
Oct-10 730 630 630 290 37 2317
Nov-10 699 710 603 280 32 2324
Dec-10 647 570 570 260 33 2080
Jan-11 730 650 500 287 35 2202
Feb-11 930 680 590 290 50 2540
Mar-11 1160 724 620 300 63 2867
Apr-11 1510 730 730 310 68 3348
May-11 1650 760 740 330 70 3550
Jun-11 1490 800 720 340 82 3432
Jul-11 1460 840 670 350 80 3400
Aug-11 1390 830 610 341 90 3261
Sep-11 1360 820 599 330 100 3209
Oct-11 1340 810 560 320 102 3132
Nov-11 1240 827 550 300 110 3027
Dec-11 1103 750 520 290 114 2777
Jan-12 1250 780 480 200 111 2821
Feb-12 1550 805 523 210 121 3209
Mar-12 1820 830 560 220 123 3553
Apr-12 2010 890 570 230 120 3820
May-12 2230 930 590 253 130 4133
Jun-12 2490 980 600 270 136 4476
Jul-12 2440 1002 580 280 134 4436
Aug-12 2334 970 570 250 132 4256
Sep-12 2190 960 550 230 137 4067
Oct-12 2080 930 530 220 130 3890
Nov-12 2050 920 517 190 139 3816
Dec-12 2004 902 490 190 131 3717
Industry Mower Total Sales
Month NA SA Eur Pac World
Jan-08 60000 571 13091 1045 74662
Feb-08 77184 611 17679 1111 96585
Mar-08 77885 658 22759 1068 102369
Apr-08 86190 778 27966 1237 116171
May-08 96117 886 27895 1313 126210
Jun-08 97143 882 30566 1176 129768
Jul-08 84757 848 29444 1359 116409
Aug-08 79804 735 28364 1238 110141
Sep-08 64800 657 28393 1215 95065
Oct-08 59307 595 24444 1154 85500
Nov-08 52157 553 18000 1262 71972
Dec-08 45049 462 12453 1386 59349
Jan-09 58627 553 12778 1443 73401
Feb-09 76200 615 18214 1515 96545
Mar-09 82871 658 23889 1373 108791
Apr-09 84904 784 29455 1442 116584
May-09 93100 846 29464 1215 124625
Jun-09 93000 838 27414 1333 122585
Jul-09 83048 763 27368 1415 112594
Aug-09 74854 694 27321 1296 104164
Sep-09 60769 625 29444 1402 92241
Oct-09 55619 610 23774 1468 81470
Nov-09 48155 571 17308 1351 67386
Dec-09 42647 512 12941 1389 57489
Jan-10 57885 537 10962 1509 70892
Feb-10 77647 595 15273 1402 94917
Mar-10 81845 659 20556 1524 104583
Apr-10 86095 756 26786 1574 115211
May-10 91776 878 24828 1468 118949
Jun-10 100680 825 24737 1560 127801
Jul-10 86190 756 24828 1441 113216
Aug-10 71887 714 25179 1545 99325
Sep-10 60000 651 24545 1667 86863
Oct-10 55566 643 19286 1698 77193
Nov-10 50857 619 15273 1810 68558
Dec-10 42596 548 9107 1731 53982
Jan-11 58095 581 8571 1887 69135
Feb-11 75566 614 13158 1845 91182
Mar-11 80286 622 19655 1923 102486
Apr-11 85140 727 25179 1981 113027
May-11 90093 826 23103 1810 115832
Jun-11 95472 783 24286 1942 122482
Jul-11 87308 681 24737 1961 114686
Aug-11 74476 646 26607 2000 103729
Sep-11 61698 625 22982 2075 87381
Oct-11 57238 617 16897 2019 76771
Nov-11 50673 587 13750 2095 67105
Dec-11 51238 591 7818 2150 61797
Jan-12 59712 563 7547 1852 69673
Feb-12 77961 571 13889 1743 94165
Mar-12 83725 625 18302 1892 104544
Apr-12 90297 723 25192 2037 118250
May-12 91143 848 24706 1887 118583
Jun-12 99320 792 25306 1944 127363
Jul-12 93922 745 27083 2170 123919
Aug-12 73143 739 26042 2037 101961
Sep-12 66699 667 26304 2018 95688
Oct-12 56476 660 22558 2072 81766
Nov-12 51068 625 14773 2182 68648
Dec-12 46893 608 6977 2035 56510
Industry Tractor Total Sales
Month NA SA Eur Pac China World
Jan-08 8143 984 5091 987 278 15483
Feb-08 8592 1051 5310 1090 283 16325
Mar-08 8630 1016 6071 1127 285 17129
Apr-08 8947 1027 5856 1209 288 17327
May-08 8442 1057 5273 1221 286 16278
Jun-08 7500 1019 5315 1327 287 15448
Jul-08 6145 977 7170 1324 289 15905
Aug-08 5882 1057 5926 1268 290 14422
Sep-08 5595 1086 6075 1209 293 14258
Oct-08 5233 1045 6321 1168 295 14061
Nov-08 4494 1078 8381 1127 298 15378
Dec-08 3913 1029 7944 1085 301 14272
Jan-09 5938 1172 5688 1185 306 14289
Feb-09 6633 1273 7037 1286 302 16530
Mar-09 7327 1423 6981 1286 303 17320
Apr-09 8077 1612 7500 1346 307 18842
May-09 7830 1728 6571 1388 309 17826
Jun-09 7103 1815 6990 1449 312 17669
Jul-09 6239 1776 6667 1490 315 16487
Aug-09 6036 1685 6762 1449 318 16250
Sep-09 5664 1679 6635 1394 321 15692
Oct-09 5345 1618 6311 1256 315 14844
Nov-09 4831 1564 6476 1214 318 14402
Dec-09 4454 1522 6250 1171 320 13716
Jan-10 5299 1835 5922 1208 333 14597
Feb-10 6529 2115 6667 1214 313 16836
Mar-10 7120 2202 7228 1256 606 18412
Apr-10 7619 2151 8200 1311 571 19852
May-10 8387 2214 7941 1415 556 20513
Jun-10 8110 2278 7921 1520 526 20355
Jul-10 7752 2100 7677 1675 513 19716
Aug-10 6894 2128 7200 1584 769 18575
Sep-10 6015 2367 6735 1527 750 17394
Oct-10 5368 2211 6495 1422 732 16226
Nov-10 4964 2483 6061 1366 714 15587
Dec-10 4444 1986 5816 1262 698 14207
Jan-11 5000 2257 5051 1373 714 14394
Feb-11 6284 2353 6082 1436 1063 17218
Mar-11 7785 2457 6327 1478 1264 19310
Apr-11 9934 2517 7604 1512 1333 22901
May-11 10645 2612 7789 1642 1556 24244
Jun-11 9491 2749 7347 1667 1739 22993
Jul-11 9182 2887 6979 1733 1702 22483
Aug-11 8528 2833 6489 1700 1915 21465
Sep-11 8293 2789 6316 1642 2083 21123
Oct-11 8221 2765 5833 1576 2128 20523
Nov-11 7470 2746 5789 1493 2292 19789
Dec-11 6509 2534 5591 1450 2245 18329
Jan-12 7267 2635 5106 1010 2292 18311
Feb-12 8807 2703 5474 1045 2449 20477
Mar-12 10168 2795 6022 1106 2400 22489
Apr-12 11044 2997 6064 1150 2353 23607
May-12 12120 3131 6344 1244 2600 25439
Jun-12 13459 3311 6593 1357 2653 27374
Jul-12 13048 3390 6304 1421 2600 26764
Aug-12 12275 3277 6064 1263 2549 25428
Sep-12 11347 3232 5789 1173 2453 23995
Oct-12 10667 3131 5699 1128 2517 23142
Nov-12 10459 3087 5604 974 2541 22666
Dec-12 10082 3030 5444 979 2453 21989