example of spss t test

One-Sample Statistics

N
Mean
Std. Deviation
Std. Error Mean
Number of hours worked last week
1497
45.63
10.632
.275

The respondents worked more than 40 hours per week. (mean=45.63, SD=10.63). The difference was significant (t=20.48, p<.001)The 95% confidence interval of the difference was between 5.09 and 6.17.

Group Statistics

Respondent's sex
N
Mean
Std. Deviation
Std. Error Mean
Hours per day watching TV
Male
382
3.01
2.648
.135

Female
524
3.00
2.497
.109

Independent Samples Test

Levene's Test for Equality of Variances t-test for Equality of Means

F
Sig.
t df Sig. (2-tailed)
Mean Difference
Std. Error Difference
95% Confidence Interval of the Difference

Lower
Upper
Hours per day watching TV
Equal variances assumed
.221
.638
.068
904
.946
.012
.172
-.327
.350

Equal variances not assumed

.067
792.603
.947
.012
.174
-.330
.353

There is no significant difference between male(mean=3.01, SD=2.65)and female(mean=3.00, SD=2.50) in watching TV(t=0.07,p=.946).

RATE JOB DONE: CJ SYSTEM OVERALL * RATE JOB DONE: VT'S JUDGES OVERALL Crosstabulation

RATE JOB DONE: VT'S JUDGES OVERALL
Total

Excellent
Good
Only fair
Poor

RATE JOB DONE: CJ SYSTEM OVERALL
Excellent
Count
10
6
3
0
19

% within RATE JOB DONE: VT'S JUDGES OVERALL
27.0%
2.2%
1.5%
0.0%
3.4%

Good
Count
20
172
54
4
250

% within RATE JOB DONE: VT'S JUDGES OVERALL
54.1%
62.3%
27.7%
7.7%
44.6%

Only fair
Count
7
88
117
17
229

% within RATE JOB DONE: VT'S JUDGES OVERALL
18.9%
31.9%
60.0%
32.7%
40.9%

Poor
Count
0
10
21
31
62

% within RATE JOB DONE: VT'S JUDGES OVERALL
0.0%
3.6%
10.8%
59.6%
11.1%
Total
Count
37
276
195
52
560

% within RATE JOB DONE: VT'S JUDGES OVERALL
100.0%
100.0%
100.0%
100.0%
100.0%

Chi-Square Tests

Value df Asymp. Sig. (2-sided)
Pearson Chi-Square
271.101a
9
.000
Likelihood Ratio
196.566
9
.000
Linear-by-Linear Association
153.302
1
.000
N of Valid Cases
560

a. 3 cells (18.8%) have expected count less than 5. The minimum expected count is 1.26.

Directional