the mocked data from an experimental study on the effects of particular type of vocational rehabilitation on employment of veterans with felony histories.

Introduction
The following data is the mocked data from an experimental study on the effects of particular type of vocational rehabilitation on employment of veterans with felony histories.
ID Age at Enrollment Age at first arrest Years of Education Number of times fired
1 41 20 12 1
2 56 14 12 1
3 56 12 14 0
4 47 23 12 0
5 52 38 12 3
6 63 16 14 0
7 60 59 12 1
8 62 17 12 3
9 49 19 12 2
10 60 31 11 0
11 56 28 13 3
12 52 43 12 0
13 58 27 14 0
14 43 29 12 0
15 63 42 14 0

The data is SPSS would appear as follows:

Frequency Distribution
The following is the plot of the frequency distribution for “Years of Education”:
Education
Frequency Percent Valid Percent Cumulative Percent
Valid 11.00 1 6.7 6.7 6.7
12.00 9 60.0 60.0 66.7
13.00 1 6.7 6.7 73.3
14.00 4 26.7 26.7 100.0
Total 15 100.0 100.0

The table above shows the frequencies for the years of education as well as the percentage of each number. For example, the frequency of 12 is 9, meaning that there are nine veterans whose years of education is 12. The value is 60% of the total number of veterans

Figure 1. Frequency Distribution

The graph above is a visual representation of the data represented in the table above. It shows that the data (Years of Education) is normally distributed since the graph is symmetrical. The test for normality for the data can be seen from the table below:
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Education .372 15 .000 .753 15 .001
a. Lilliefors Significance Correction

The Shapiro-Wilk test is used to test for normality, and the data is normally distributed since its p-value of 0.753 is greater than the alpha level of significance, 0.001.

Order from us and get better grades. We are the service you have been looking for.