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a researcher wants to know whether males and females consider personality or looks ate more important in mate selection. He decides to run a 2X2 ANOVA to examine the differences between what quality attracts people more( personality/looks) and whether gender (male/female) impacts the difference anwer the following questions

df Score (M Equal variances assumed 036 8494.584 233 Equal variances not 4.657 182.973 Independent Samples Test Hest for Equa
on Completion Status: Moan Sid Eror Confidence Sig (2-tailed) Difference Score (Y) Equal variances assumed 2.596 3.712 Equal
df Score (M Equal variances assumed 036 8494.584 233 Equal variances not 4.657 182.973 Independent Samples Test Hest for Equality of Means 95% Mean Std. Error Difference しDifference Sig (2-tailed) Lower Score (Y) Equal variances assumed 2.596 3.712 Equal variances not -2.596 557 3.696 Independent Samples Test t-test for Equality of 95% Upper Score () Equal variances assumed -1.480 Equal variances not 1.496 1. What is the F-statistic and corresponding p-value? Given this information do vos conclude that the findinas are cionificant and the receareher can reinct the mall i Click Save and Submit to save and submit. Click Save All Answers to save all answers 曲 昭. e
on Completion Status: Moan Sid Eror Confidence Sig (2-tailed) Difference Score (Y) Equal variances assumed 2.596 3.712 Equal variances not 2.596 3.696 Independent Samples Test t-best for Equality of Score () Equal variances assumed 1.480 Equal variances not 1.496 1. What is the F-statistic and corresponding p-value? 2. Given this information, do you conclude that the findings are significant and the researcher can reject the null hypothesis? 3. Given your conclusion, would you suggest that the researcher assume that there are significant differeaces between men and women regarding what attracts them to mates? Click Save and Submit to save and submit. Click Save All Ansacers to sove all anssoers 凸 F7 F8 F9 F10 8 5 6 8
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(A) Using the given data table, F statistic is 0.036 with p value = 0.849

(B) Since the p value is less than 0.05 significance level, which means result is significant. Therefore, we can say that researcher can reject the null hypothesis (based on independent samples t test and p value).

(C) Yes, because the p value is less than significance level, which means we can reject the null hypothesis and we can conclude that there is significant difference between the means for males and females based on the independent sampples t test assuming equal variances as well as unequal variances

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