need help understading why each option is picked and what on tables need to be used to find these answers.

\fin testing the hypothesis of whether or not there is any differece in weekly purchase of KitKat between male and female, the null hypothesis {HO} should be (there is no difference in weekly purchase of KitKat between male and femalefthere is a difference in weekly purchase of KitKat between male and female). __there is a difference in weekly_purchase of KitKat between mate and female at (there is no difference in weekly purchase of KitKat between male and female} Conduct the test of hypothesis. H0 is reiectedr'failed to be rejected (assume equal variance) __iejected __ 3: {failed to be rejected] because p-yalue for t-statistic is greaterfsmailer ___smaller __ at [greater] than level of significance (0.05]. Based on this result, do you agree this business should market its product with due focus on gender. Yes/No Yes x {No} Q. No. 2 Let's test the similar hypothesis for different age groups (child, teen, and adult) to see if KitKat purchase habit is different in at least one group. When you test the hypothesis by using ANOVA, you rejectlfaii to reject ___r_eje_ct___ (15 913) the null hypothesis. it is because the p-yalue for F-test is lessfmore ___more _ 3 {less} than the level of significance (0.05).You conclude that all age group do not differ/at least one age group differ __ at least one agggmp differ __ v' (10 96) in terms of weekly KitKat purchase. Therefore. the business's marketing strategy should befshould not he _should be_ x (should not be} same for all age groups. \f