Analyse market data BSBMKG403A John LoftusWeek 4
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Welcome to the analysis of rich pictures
Cash Bonds Property Shares
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Contents – week 4 BSBMKG403A
(Part A)
• Practice exercises• Team presentations – task 1• Assignments before next class• Video 4 (normal distribution)• Teams commence case study –
task 2
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- Practice exercises
Berenson – problems:
3.10 (page 73)
3.11 (page 74)
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Exercise 3.10
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Product Calories Fat
Mix 59 1.5
Original 76 2.8
Cinnamon 81 2.8
Hazelnut 81 2.6
Mocha 75 2.4
Caramel 74 2.4
Latte 90 5.4
Vanilla 80 2.7
Sweet 55 2.4
Topping 62 2.8
-Exercise 3.10
SPSS output
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Statistics
10 10
0 0
73.30 2.780
75.50 2.650
81 2.4a
11.156 .9987
124.456 .997
35 3.9
55 1.5
90 5.4
733 27.8
61.25 2.400
75.50 2.650
81.00 2.800
Valid
Missing
N
Mean
Median
Mode
Std. Deviation
Variance
Range
Minimum
Maximum
Sum
25
50
75
Percentiles
Calories Fat (g)
Multiple modes exist. The smallest value is showna.
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Excel functions3.10 Calories Fat
Mean 73.3 2.78 =AVERAGE( )
Median 75.5 2.65 =MEDIAN( )
Mode 81 2.8 =MODE( )
Std Deviation 11.156 0.999 =STDEV( )
Variance 124.456 0.997 =VAR( )
Minimum 55 1.5 =MIN( )
Maximum 90 5.4 =MAX( )
Range 35 3.9
Percentile .25 65.00 2.40 =PERCENTILE(range, .25)
Percentile .75 80.75 2.80 =PERCENTILE(range, .75)
Interquartile 15.75 0.40
CV 15.22% 35.92%
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X Freq Mean X - Mean S Z
55 1 73.3 -18.3 11.156 -1.64
59 1 73.3 -14.3 11.156 -1.28
62 1 73.3 -11.3 11.156 -1.01
74 1 73.3 0.7 11.156 0.06
75 1 73.3 1.7 11.156 0.15
76 1 73.3 2.7 11.156 0.24
80 1 73.3 6.7 11.156 0.60
81 2 73.3 7.7 11.156 0.69
90 1 73.3 16.7 11.156 1.50
Calories
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Fat (g)
X Freq Mean X - Mean S Z
1.5 1 2.78 -1.28 0.9987 -1.28
2.4 3 2.78 -0.38 0.9987 -0.38
2.6 1 2.78 -0.18 0.9987 -0.18
2.7 1 2.78 -0.08 0.9987 -0.08
2.8 3 2.78 0.02 0.9987 0.02
5.4 1 2.78 2.62 0.9987 2.62
Calories histogram (SPSS)
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Fat histogram (SPSS)
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Exercise 3.11
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Cameras
N 14
Mean 347.86
Median 340
Mode 340
Std. Deviation 70.07
Variance 4910.44
Range 230
Minimum 220
Maximum 450
Percentiles 25 287.50
75 407.50
Q3-Q1 120
CV 20.14%
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Exercise 3.11
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Price (X) Freq Mean X - Mean S Z
220 1 348 -128 70 -1.8
270 1 348 -78 70 -1.1
280 1 348 -68 70 -1.0
290 1 348 -58 70 -0.8
310 1 348 -38 70 -0.5
340 3 348 -8 70 -0.1
370 1 348 22 70 0.3
380 1 348 32 70 0.5
400 1 348 52 70 0.7
430 1 348 82 70 1.2
450 2 348 102 70 1.5
Cameras
Camera price histogram (SPSS)
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Cameras
Calc
A B C D
1 x f x f (x^2) f
2 220 1 220 48400
3 270 1 270 72900
4 280 1 280 78400
5 290 1 290 84100
6 310 1 310 96100
7 340 3 1020 346800
8 370 1 370 136900
9 380 1 380 144400
10 400 1 400 160000
11 430 1 430 184900
12 450 2 900 405000
13 Totals 14 4870 1757900
14 (C13 * C13)/B13 1694064
15 (D13 - D14) 63836
16 Variance (D15/(B13-1)) 4910
17 Sample standard dev 70.07
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Case study presentations – task 1Market size – Prepare a table and charts of retail turnover for entity “xxx” by State for the December quarter 2006:
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Reading newspaper book and stationery
Furniture furniture and floor coverings
Pharmacy pharmaceutical, cosmetic & toiletry
Hardware domestic hardware & house-ware
Takeaway food retailing
Clothing clothing retailing
Cafes cafes and restaurants
Hotels hotels and licensed clubs
Household household goods
Use ABS data 8501.0 Table 20 – a direct link is on course website
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Take-away - retail turnover
0 200 400 600 800 1000
NSW
VIC
QLD
SA
WA
TAS
NT
ACT
$Millions
Dec-2006
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Population - Australia at 30 June 2006
0 1 2 3 4 5 6 7 8
NSW
VIC
QLD
SA
WA
TAS
NT
ACT
Million
Population
Assignments before next class
• Read chapter 3 of text – Berenson• Complete case study 2• Use resources on the course website• Complete the following problems
– 3.18 (page 75)– 3.24 (page 79)– 3.38 (page 91)– 3.39 (page 91)
• Start thinking about marketing plan project
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Marketing plan project
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Use ABS data 8501.0 Table 20 and ABS 3101.0 Table 4
This is an individual assignment
Assume the position of a marketing manager of a business organisation competing as a retailer of entity “xxx”, in all States of Australia.
Using your analysis from previous activities, develop a marketing plan that satisfies all requirements specified in your course outline – especially the requirement defined on pages 4 and 5 of your unit outline.
- Video
(5)
Normal distribution
calculations
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Commence case study – task 2
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Case study presentations – task 2
Population trend – prepare table and chart of population data for each State of Australia:
• at quarterly intervals from 1 July 2001 to 30 June 2006
• Forecast by extrapolating the quarterly trend to 30 June 2007, using the least-squares linear regression model
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Use ABS 3101.0 Table 4
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