Independent Samples Test t-test for Equality of Means Std. Error Difference Mean Difference I need a lot more infomration about the Equal variances -.01084 .31258 assumed Equal variances not company's products before l'd buy -.01084 .31208 assumed Group Statistics What is your gender female Std. Std. Error Mean Deviation Mean Independent Samples Test Ineed a lot more 76 4.3421 1.73246 19873 t-test for Equality of Means infomration about the male 51 4.3529 1.71841 24063 company's products before l'd buy 95% Confidence Interval of the Difference Lower Upper I need a lot more Equal variances -.62948 .60780 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 of Means assumed Variances Independent Samples Effect Sizes F Sig. 95% Confidence I need a lot more Equal variances .001 .977 -.035 Interval Lower Standardizer Point infomration about the assumed Estimate Upper company's products before l'd buy Equal variances not assumed -.035 I need a lot more infomration about the company's products before l'd buy Cohen's d 1.72685 -.006 -.361 .349 Hedges' correction 1.73730 -.006 -.359 .346 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 I need a lot more Equal variances 125 486 .972 infomration about the assumed company's products before l'd buy Equal variances not assumed 107.979 .486 .972

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