statistics

  

Homework 

Computing a t-test using AGE as the independent variable and CSSE (Current statistics self-efficacy) as the dependent measure. We know from research that age 37 is a good cutpoint for our AGE variable. Use tables below to answer the questions.

Note: 

¨ Levenes equality of variance tests: a significance value larger than 0.05 is good. 

This means the variances for groups DO NOT differ from each other.

1. What      is Levenes equality of variance tests significance?
2. What      is the value of t when      variances are equal? What about unequal?
3. Is      either value of t      significant?

T-Test

  

Group   Statistics

 

Age

N

Mean

Std.   Deviation

Std.   Error Mean

 

Current Stats Self-Efficacy

>= 37

45

6.44

2.833

.422

 

< 37

68

6.47

2.391

.290

  

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

 

Current Stats Self-Efficacy

Equal variances assumed

1.782

.185

-.053

111

.958

-.026

.495

-1.007

.954

 

Equal variances not assumed

-.051

83.123

.959

-.026

.512

-1.045

.993  

Homework 

Computing a t-test using AGE as the independent variable and CSSE (Current statistics self-efficacy) as the dependent measure. We know from research that age 37 is a good cutpoint for our AGE variable. Use tables below to answer the questions.

Note: 

¨ Levenes equality of variance tests: a significance value larger than 0.05 is good. 

This means the variances for groups DO NOT differ from each other.

1. What      is Levenes equality of variance tests significance?
2. What      is the value of t when      variances are equal? What about unequal?
3. Is      either value of t      significant?

T-Test

  

Group   Statistics

 

Age

N

Mean

Std.   Deviation

Std.   Error Mean

 

Current Stats Self-Efficacy

>= 37

45

6.44

2.833

.422

 

< 37

68

6.47

2.391

.290

  

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

 

Current Stats Self-Efficacy

Equal variances assumed

1.782

.185

-.053

111

.958

-.026

.495

-1.007

.954

 

Equal variances not assumed

-.051

83.123

.959

-.026

.512

-1.045

.993