Renee Hutchings SPSS wk 8 1. Compute the mean, median mode, standard deviation, variance, and range for the following data. Provide these statistics and answer these questions: Which test had the highest average score? Which test had the smallest amount of variability? Test 2 had the highest average score. The smallest amount of variability was test 3 with the lowest score being 46 and the highest being 51, there was a 5 point difference in the lowest versus highest score. Test 2 had a 9 point difference in the lowest of 46 versus 55 score and Test 1 had a 10 point difference at 45 versus 55. Test 1 Test 2 Test 3 49 50 50 47 49 50 51 51 49 55 46 49 55 48 48 45 53 49 47 49 46 45 52 51 46 48 48 53 55 50 FREQUENCIES VARIABLES=Test Grade /STATISTICS=STDDEV VARIANCE RANGE MEAN MEDIAN MODE /ORDER=ANALYSIS. Statistics Test Grade N Valid 30 29 Missing 0 1 Mean 2.0000 49.5172 Median 2.0000 49.0000 Mode 1.00a 49.00 Std. Deviation .83045 2.84882 Variance .690 8.116 Range 2.00 10.00 a. Multiple modes exist. The smallest value is shown Frequency Table Test Frequency Percent Valid Percent Cumulative Percent Valid 1.00 10 33.3 33.3 33.3 2.00 10 33.3 33.3 66.7 3.00 10 33.3 33.3 100.0 Total 30 100.0 100.0 Grade Frequency Percent Valid Percent Cumulative Percent Valid 45.00 2 6.7 6.9 6.9 46.00 3 10.0 10.3 17.2 47.00 2 6.7 6.9 24.1 48.00 3 10.0 10.3 34.5 49.00 6 20.0 20.7 55.2 50.00 4 13.3 13.8 69.0 51.00 3 10.0 10.3 79.3 52.00 1 3.3 3.4 82.8 53.00 2 6.7 6.9 89.7 55.00 3 10.0 10.3 100.0 Total 29 96.7 100.0 Missing System 1 3.3 Total 30 100.0 2. Enter the following data into SPSS. Determine the correlation between hours of studying and grade point average in these honor students. Explain your results. Hours of Studying GPA 25 3.94 14 3.89 17 4.00 16 3.77 18 3.96 23 3.85 16 3.65 13 3.93 20 3.81 11 3.81 CORRELATIONS /VARIABLES=Hoursofstudy GPA /PRINT=TWOTAIL NOSIG /STATISTICS DESCRIPTIVES /MISSING=PAIRWISE. Descriptive Statistics Mean Std. Deviation N Hoursofstudy 17.3000 4.37290 10 GPA 3.8610 .10493 10 Correlations Hoursofstudy GPA Hoursofstudy Pearson Correlation 1 .183 Sig. (2-tailed) .612 N 10 10 GPA Pearson Correlation .183 1 Sig. (2-tailed) .612 N 10 10 3. For this exercise you will be using the data contained in the following file (you can find it under Resources) NES2004.sav, Your assignment is to run at least 2 crosstabs, copy and paste them to this document and briefly explain each of them. CROSSTABS /TABLES=abort_funding abort_imp age BY abort_rights /FORMAT=AVALUE TABLES /CELLS=COUNT /COUNT ROUND CELL. Crosstabs Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Favor/oppose govt funds to pay for abortion * Abortion position: self-placement 998 82.3% 214 17.7% 1212 100.0% Importance of abortion issue to R * Abortion position: self-placement 1047 86.4% 165 13.6% 1212 100.0% Respondent age * Abortion position: self-placement 1047 86.4% 165 13.6% 1212 100.0% Favor ...

1. Renee Hutchings SPSS wk 8
1. Compute the mean, median mode, standard deviation,
variance, and range for the following data. Provide these
statistics and answer these questions: Which test had the highest
average score? Which test had the smallest amount of
variability?
Test 2 had the highest average score.
The smallest amount of variability was test 3 with the lowest
score being 46 and the highest being 51, there was a 5 point
difference in the lowest versus highest score. Test 2 had a 9
point difference in the lowest of 46 versus 55 score and Test 1
had a 10 point difference at 45 versus 55.
Test 1
Test 2
Test 3
49
50
50
47
49
50
51
51
49
55
46
49
55
48
48
45
53

2. 49
47
49
46
45
52
51
46
48
48
53
55
50
FREQUENCIES VARIABLES=Test Grade
/STATISTICS=STDDEV VARIANCE RANGE MEAN
MEDIAN MODE
/ORDER=ANALYSIS.
Statistics
Test
Grade
N
Valid
30
29
Missing
0
1
Mean
2.0000
49.5172
Median
2.0000

3. 49.0000
Mode
1.00a
49.00
Std. Deviation
.83045
2.84882
Variance
.690
8.116
Range
2.00
10.00
a. Multiple modes exist. The smallest value is shown
Frequency Table
Test
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
1.00
10
33.3
33.3
33.3
2.00
10
33.3
33.3
66.7
3.00

4. 10
33.3
33.3
100.0
Total
30
100.0
100.0
Grade
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
45.00
2
6.7
6.9
6.9
46.00
3
10.0
10.3
17.2
47.00
2
6.7
6.9
24.1
48.00

5. 3
10.0
10.3
34.5
49.00
6
20.0
20.7
55.2
50.00
4
13.3
13.8
69.0
51.00
3
10.0
10.3
79.3
52.00
1
3.3
3.4
82.8
53.00
2
6.7
6.9
89.7
55.00

6. 3
10.0
10.3
100.0
Total
29
96.7
100.0
Missing
System
1
3.3
Total
30
100.0
2.
Enter the following data into SPSS. Determine the correlation
between hours of studying and grade point average in these
honor students. Explain your results.
Hours of Studying
GPA
25
3.94
14
3.89
17
4.00
16
3.77

7. 18
3.96
23
3.85
16
3.65
13
3.93
20
3.81
11
3.81
CORRELATIONS
/VARIABLES=Hoursofstudy GPA /PRINT=TWOTAIL
NOSIG /STATISTICS DESCRIPTIVES
/MISSING=PAIRWISE.
Descriptive Statistics
Mean
Std. Deviation
N
Hoursofstudy
17.3000
4.37290
10
GPA
3.8610
.10493
10
Correlations
Hoursofstudy
GPA
Hoursofstudy
Pearson Correlation

8. 1
.183
Sig. (2-tailed)
.612
N
10
10
GPA
Pearson Correlation
.183
1
Sig. (2-tailed)
.612
N
10
10
3. For this exercise you will be using the data contained in the
following file (you can find it under Resources) NES2004.sav,
Your assignment is to run at least 2 crosstabs, copy and paste
them to this document and briefly explain each of them.
CROSSTABS
/TABLES=abort_funding abort_imp age BY abort_rights
/FORMAT=AVALUE TABLES
/CELLS=COUNT /COUNT ROUND CELL.
Crosstabs
Case Processing Summary

9. Cases
Valid
Missing
Total
N
Percent
N
Percent
N
Percent
Favor/oppose govt funds to pay for abortion * Abortion
position: self-placement
998
82.3%
214
17.7%
1212
100.0%
Importance of abortion issue to R * Abortion position: self-
placement
1047
86.4%
165
13.6%
1212
100.0%
Respondent age * Abortion position: self-placement
1047
86.4%
165
13.6%
1212
100.0%
Favor/oppose govt funds to pay for abortion * Abortion

10. position: self-placement Crosstabulation
Count
Abortion position: self-placement
Total
1 By law, abortion should never be permitted
2 The law should permit abortion only in case of rape, inc
3 The law should permit abortion for reasons othr than rape
4 By law, a woman should always be able to obtain an abort
Favor/oppose govt funds to pay for abortion
1 Favor strongly
5
14
31
134
184
2 Favor not strongly
4
41
44
110
199
4 Oppose not strongly
8
43
32
58
141
5 Oppose strongly
121
217

11. 63
73
474
Total
138
315
170
375
998
Importance of abortion issue to R * Abortion position: self-
placement Crosstabulation
Count
Abortion position: self-placement
Total
1 By law, abortion should never be permitted
2 The law should permit abortion only in case of rape, inc
3 The law should permit abortion for reasons othr than rape
4 By law, a woman should always be able to obtain an abort
Importance of abortion issue to R
1 Extremely important
82
85
26
132
325
2 Very important
41
118
41
114
314

12. 3 Somewhat important
12
107
91
105
315
4 Not too important
2
19
23
30
74
5 Not at all important
2
3
4
10
19
Total
139
332
185
391
1047
Respondent age * Abortion position: self-placement
Crosstabulation
Count
Abortion position: self-placement
Total
1 By law, abortion should never be permitted
2 The law should permit abortion only in case of rape, inc
3 The law should permit abortion for reasons othr than rape

13. 4 By law, a woman should always be able to obtain an abort
Respondent age
18
0
5
0
2
7
19
1
6
3
5
15
20
0
9
3
5
17
21
1
4
4
4
13
22
1
8
1
5

14. 15
23
1
9
2
11
23
24
2
6
2
8
18
25
6
8
1
7
22
26
0
5
4
6
15
27
5
2
2
8
17

15. 28
1
5
4
14
24
29
3
4
3
8
18
30
1
5
1
5
12
31
2
6
5
9
22
32
2
2
1
8
13

16. 33
1
5
3
11
20
34
2
5
3
7
17
35
3
4
5
7
19
36
2
7
2
5
16
37
2
3
4
5
14
38

17. 3
3
3
7
16
39
2
6
6
8
22
40
1
4
2
9
16
41
4
8
2
7
21
42
2
3
2
9
16
43
1

18. 7
3
4
15
44
2
7
3
11
23
45
3
2
5
11
21
46
3
8
3
9
23
47
2
7
5
7
21
48
4
4

19. 5
6
19
49
4
3
2
11
20
50
4
3
6
7
20
51
1
9
2
10
22
52
2
8
4
8
22
53
2
3
4

20. 9
18
54
6
2
1
6
15
55
4
9
1
6
20
56
3
8
3
11
25
57
3
4
4
12
23
58
4
7
3
8

21. 22
59
3
4
2
3
12
60
2
6
1
2
11
61
2
9
3
4
18
62
3
6
7
5
21
63
3
9
7
8
27

22. 64
4
5
5
4
18
65
4
6
2
5
17
66
2
7
2
3
14
67
2
8
1
1
12
68
0
5
3
3
11

23. 69
1
3
3
3
10
70
0
2
3
4
9
71
0
2
2
2
6
72
3
2
0
2
7
73
1
3
1
4
9
74

24. 2
5
2
0
9
75
0
2
4
2
8
76
1
4
0
4
9
77
1
6
2
6
15
78
2
3
1
0
6
79
0

25. 1
3
2
6
80
1
1
2
0
4
81
0
2
1
2
5
82
2
3
1
2
8
83
0
2
1
1
4
84
2
1

26. 1
0
4
85
0
0
1
0
1
86
1
0
2
1
4
88
1
0
0
2
3
90
0
2
0
0
2
Total
139
332
185
391

27. 1047
4. Researchers are interested in whether depressed people
undergoing group therapy will perform a different number of
activities of daily living before and after group therapy. The
researchers have randomly selected 8 depressed clients in a 6-
week group therapy program.
Use the five steps of hypothesis testing to determine whether
the observed differences in numbers of activities of daily living
(shown below) obtained before and after therapy are
statistically significant at the .05 level of significance and, for
practice, at the .01 level. (Clearly indicate each step).
In Step 2, show all calculations. As part of Step 5, indicate
whether the researchers should recommend group therapy for all
depressed people based on evaluation of the null hypothesis at
both levels of significance and calculate the effect size.
CLIENT
BEFORE THERAPY
AFTER THERAPY
A
11
17
B
14
15
C
8
12
D
9
21
E
13
16

28. F
10
18
G
7
17
H
12
8
At .05 Level
ONEWAY Before BY After
/STATISTICS DESCRIPTIVES HOMOGENEITY
BROWNFORSYTHE WELCH
/PLOT MEANS
/MISSING ANALYSIS.
Oneway
[DataSet0]
Descriptives
Before
N
Mean
Std. Deviation
Std. Error
95% Confidence Interval for Mean
Minimum
Maximum

29. Lower Bound
Upper Bound
7.00
1
7.0000
.
.
.
.
7.00
7.00
8.00
2
5.5000
3.53553
2.50000
-26.2655
37.2655
3.00
8.00
9.00
1
4.0000
.
.
.
.
4.00
4.00
10.00
1
6.0000

30. .
.
.
.
6.00
6.00
11.00
1
1.0000
.
.
.
.
1.00
1.00
12.00
2
5.5000
3.53553
2.50000
-26.2655
37.2655
3.00
8.00
13.00
1
5.0000
.
.
.
.
5.00
5.00
14.00
1
2.0000

31. .
.
.
.
2.00
2.00
15.00
1
2.0000
.
.
.
.
2.00
2.00
16.00
1
5.0000
.
.
.
.
5.00
5.00
17.00
2
4.0000
4.24264
3.00000
-34.1186
42.1186
1.00
7.00
18.00
1
6.0000

32. .
.
.
.
6.00
6.00
21.00
1
4.0000
.
.
.
.
4.00
4.00
Total
16
4.5000
2.36643
.59161
3.2390
5.7610
1.00
8.00
Test of Homogeneity of Variancesa
Before
Levene Statistic
df1
df2
Sig.
.b
2
.
.
a. Test of homogeneity of variances cannot be performed for
Before because the sum of caseweights is less than the number

33. of groups.
b. Groups with only one case are ignored in computing the test
of homogeneity of variance for Before.
ANOVA
Before
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
41.000
12
3.417
.238
.970
Within Groups
43.000
3
14.333
Total
84.000
15
Robust Tests of Equality of Meansb
Before
Statistica
df1
df2
Sig.

34. Welch
.
.
.
.
Brown-Forsythe
.
.
.
.
a. Asymptotically F distributed.
b. Robust tests of equality of means cannot be performed for
Before because at least one group has the sum of case weights
less than or equal to 1.
Means Plots
At the .01 Level
ONEWAY Before BY After
/STATISTICS DESCRIPTIVES HOMOGENEITY
BROWNFORSYTHE WELCH
/PLOT MEANS
/MISSING ANALYSIS.
Oneway
Descriptives
Before
N
Mean
Std. Deviation

35. Std. Error
95% Confidence Interval for Mean
Minimum
Maximum
Lower Bound
Upper Bound
7.00
1
7.0000
.
.
.
.
7.00
7.00
8.00
2
5.5000
3.53553
2.50000
-26.2655
37.2655
3.00
8.00
9.00
1
4.0000
.
.

36. .
.
4.00
4.00
10.00
1
6.0000
.
.
.
.
6.00
6.00
11.00
1
1.0000
.
.
.
.
1.00
1.00
12.00
2
5.5000
3.53553
2.50000
-26.2655
37.2655
3.00
8.00
13.00
1
5.0000
.
.

37. .
.
5.00
5.00
14.00
1
2.0000
.
.
.
.
2.00
2.00
15.00
1
2.0000
.
.
.
.
2.00
2.00
16.00
1
5.0000
.
.
.
.
5.00
5.00
17.00
2
4.0000
4.24264
3.00000

38. -34.1186
42.1186
1.00
7.00
18.00
1
6.0000
.
.
.
.
6.00
6.00
21.00
1
4.0000
.
.
.
.
4.00
4.00
Total
16
4.5000
2.36643
.59161
3.2390
5.7610
1.00
8.00
Test of Homogeneity of Variancesa
Before
Levene Statistic
df1
df2

39. Sig.
.b
2
.
.
a. Test of homogeneity of variances cannot be performed for
Before because the sum of caseweights is less than the number
of groups.
b. Groups with only one case are ignored in computing the test
of homogeneity of variance for Before.
ANOVA
Before
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
41.000
12
3.417
.238
.970
Within Groups
43.000
3
14.333
Total
84.000
15

40. Robust Tests of Equality of Meansb
Before
Statistica
df1
df2
Sig.
Welch
.
.
.
.
Brown-Forsythe
.
.
.
.
a. Asymptotically F distributed.
b. Robust tests of equality of means cannot be performed for
Before because at least one group has the sum of case weights
less than or equal to 1.
5.
The scores on a job satisfaction inventory for both groups are
listed in the table below.
Use the five steps of hypothesis testing to determine whether
the job satisfaction scores of the group that participated in
counseling are statistically higher than the scores of employees
who did not participate in counseling at the .01 level of
significance.
In Step 2, show all calculations.
As part of Step 5, indicate whether the researcher should
recommend counseling as a method to improve job satisfaction

41. following industrial accidents based on evaluation of the null
hypothesis and calculate the effect size.
PARTICIPATED IN COUNSELING
DID NOT PARTICIPATE IN COUNSELING
37
36
35
39
36
40
33
36
30
38
38
35
39
37
35
39
32
42
ONEWAY counseling BY nocounseling
/STATISTICS DESCRIPTIVES HOMOGENEITY
BROWNFORSYTHE WELCH
/PLOT MEANS
/MISSING ANALYSIS.
Oneway
Descriptives
counseling

42. N
Mean
Std. Deviation
Std. Error
95% Confidence Interval for Mean
Minimum
Maximum
Lower Bound
Upper Bound
35.00
1
38.0000
.
.
.
.
38.00
38.00
36.00
2
35.0000
2.82843
2.00000
9.5876
60.4124
33.00
37.00
37.00
1

43. 39.0000
.
.
.
.
39.00
39.00
38.00
1
30.0000
.
.
.
.
30.00
30.00
39.00
2
35.0000
.00000
.00000
35.0000
35.0000
35.00
35.00
40.00
1
36.0000
.
.
.
.
36.00
36.00
42.00
1

44. 32.0000
.
.
.
.
32.00
32.00
Total
9
35.0000
2.91548
.97183
32.7590
37.2410
30.00
39.00
Test of Homogeneity of Variancesa
counseling
Levene Statistic
df1
df2
Sig.
.b
1
.
.
a. Test of homogeneity of variances cannot be performed for
counseling because the sum of caseweights is less than the
number of groups.
b. Groups with only one case are ignored in computing the test
of homogeneity of variance for counseling.
ANOVA
counseling
Sum of Squares
df

45. Mean Square
F
Sig.
Between Groups
60.000
6
10.000
2.500
.313
Within Groups
8.000
2
4.000
Total
68.000
8
Robust Tests of Equality of Meansb
counseling
Statistica
df1
df2
Sig.
Welch
.
.
.
.
Brown-Forsythe
.
.

46. .
.
a. Asymptotically F distributed.
b. Robust tests of equality of means cannot be performed for
counseling because at least one group has the sum of case
weights less than or equal to 1.