Upload
ronald-gibson
View
219
Download
0
Embed Size (px)
Citation preview
Lesson 3 in SPSS
How to find measures variability using SPSS
The Dataset
• Here’s a nice dataset.
• We have one variable called Age.
• There are 1,514 observations in the dataset.
First Blush• To get a quick
picture of this dataset, let’s see a frequency distribution histogram (Lesson 1).
• Hmm, perhaps a bit skewed?
Selecting the Analysis
• From the SPSS menu bar, choose
• Analyze
• Descriptive statistics
• Frequencies
Select the Variable(s)
• In the Frequencies box, highlight the variable age, then click on the arrow to pop it into the Variables window.
Descriptives Box
• Notice that when you’ve done this, the OK box is now active.
• But let’s make sure we get the statistics we want.
Selecting the Statistics
• I’ve selected the mean, median and mode as my measures of central tendency. Plus, I asked for the sum.
• For my measures of spread, I’ve chosen standard deviation, variance, and range. Plus I asked for the minimum and maximum values.
The Interquartile Range
• To find the interquartile range in SPSS, select Quartiles.
• I’ve also asked it for a measure of the skewness of the distribution.
• Now click on Continue.
Running the Analysis
• Now we can click on OK.
The Output• So what did we learn?• The mode is 35, the
median is 41.00, and the mean is 45.63. These measures appear to be the perfect definition of a positively skewed distribution.
• The range is 71 and goes from a minimum of 18 years to a maximum of 89 years old.
• The sample variance is 317.14 and taking the square root of that we have the sample standard deviation of 17.81
Statistics
Age of Respondent1514
3
45.63
41.00
35
17.808
317.140
.524
.063
71
18
89
69078
32.00
41.00
60.00
Valid
Missing
N
Mean
Median
Mode
Std. Deviation
Variance
Skewness
Std. Error of Skewness
Range
Minimum
Maximum
Sum
25
50
75
Percentiles
More Output• To find the inter-
quartile range, we take the 75th per-centile minus the 25th percentile. Here, it is 60 – 32 = 28. So the SIQ = 28/2 = 14.
• Also, we note our skewness value is .524 with a standard error of .063. Don’t worry about that now, we’ll look at this again in Lesson 4.
Statistics
Age of Respondent1514
3
45.63
41.00
35
17.808
317.140
.524
.063
71
18
89
69078
32.00
41.00
60.00
Valid
Missing
N
Mean
Median
Mode
Std. Deviation
Variance
Skewness
Std. Error of Skewness
Range
Minimum
Maximum
Sum
25
50
75
Percentiles
Visual Representation
• Let’s mark these on our graph.
Mean
Median
Mode
Range = 71
Mean
s = 17.81SIQ = 14