Could please help interpret this SPSS output of a Independent sample t-test?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Could please help interpret this SPSS output of a Independent sample t-test?

Independent Samples Test
t-test for Equality of Means
Mean
Std. Error
Difference
Difference
I need a lot more
Equal variances
-.01084
.31258
infomration about the
assumed
company's products
before l'd buy
Equal variances not
-.01084
.31208
Group Statistics
assumed
What is your
Std.
Std. Error
gender
N
Mean
Deviation
Mean
Independent Samples Test
I need a lot more
female
76
4.3421
1.73246
.19873
t-test for Equality of Means
infomration about the
male
51
4.3529
1.71841
.24063
95% Confidence Interval of
company's products
before l'd buy
the Difference
Lower
Upper
.60780
I need a lot more
Equal variances
-.62948
Independent Samples Test
infomration about the
assumed
t-test for
company's products
before l'd buy
Equal variances not
-.62943
.60776
Levene's Test for Equality of Equality
assumed
Variances
of Means
Independent Samples Effect Sizes
F
Sig.
95% Confidence
I need a lot more
Equal variances
.001
.977
-.035
Standardizer
Point
Interval
infomration about the
assumed
Estimate
Lower
Upper
company's products
before l'd buy
Equal variances not
assumed
-.035
I need a lot more
Cohen's d
1.72685
-.006
-.361
.349
infomration about the
Hedges'
correction
1.73730
-.006
-.359
.346
company's products
before l'd buy
Independent Samples Test
Glass's delta
1.71841
-.006
-.361
.349
a. The denominator used in estimating the effect sizes.
Cohen's d uses the pooled standard deviation.
Hedges' correction uses the pooled standard deviation, plus a correction factor.
Glass's delta uses the sample standard deviation of the control group.
t-test for Equality of Means
Significance
One-Sided Two-Sided
df
Equal variances
assumed
I need a lot more
125
.486
.972
infomration about the
company's products
before l'd buy
Equal variances not
107.979
.486
.972
assumed
Transcribed Image Text:Independent Samples Test t-test for Equality of Means Mean Std. Error Difference Difference I need a lot more Equal variances -.01084 .31258 infomration about the assumed company's products before l'd buy Equal variances not -.01084 .31208 Group Statistics assumed What is your Std. Std. Error gender N Mean Deviation Mean Independent Samples Test I need a lot more female 76 4.3421 1.73246 .19873 t-test for Equality of Means infomration about the male 51 4.3529 1.71841 .24063 95% Confidence Interval of company's products before l'd buy the Difference Lower Upper .60780 I need a lot more Equal variances -.62948 Independent Samples Test infomration about the assumed t-test for company's products before l'd buy Equal variances not -.62943 .60776 Levene's Test for Equality of Equality assumed Variances of Means Independent Samples Effect Sizes F Sig. 95% Confidence I need a lot more Equal variances .001 .977 -.035 Standardizer Point Interval infomration about the assumed Estimate Lower Upper company's products before l'd buy Equal variances not assumed -.035 I need a lot more Cohen's d 1.72685 -.006 -.361 .349 infomration about the Hedges' correction 1.73730 -.006 -.359 .346 company's products before l'd buy Independent Samples Test Glass's delta 1.71841 -.006 -.361 .349 a. The denominator used in estimating the effect sizes. Cohen's d uses the pooled standard deviation. Hedges' correction uses the pooled standard deviation, plus a correction factor. Glass's delta uses the sample standard deviation of the control group. t-test for Equality of Means Significance One-Sided Two-Sided df Equal variances assumed I need a lot more 125 .486 .972 infomration about the company's products before l'd buy Equal variances not 107.979 .486 .972 assumed
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