Hi can someone help me to answer this and please be clear with the answer.

1. For each question: 1) State the Null and Alternative Hypothesis in population parameters and 2) Select the correct model from the list. 3) Determine degrees of freedom for the test statistic, if possible. This question is about design only since no data will be provided. If it is necessary to make an assumption about population variances, assume equal variances. a. A company tests for a difference in O One sample, t test for mean mean sales at two locations. Data is O One sample, Z test of proportion collected at each store for each month in O One sample, Chi-square test of variance 2012, so there are 12 pairs of O t-test: independent samples, two population pooled variance. measurements. O t-test: independent samples, two population unequal variance. degrees of freedom O t-test: dependent sampling, matched pairs O F-test for comparing two variances Ho Ha b. A study claims 30% of adults get news O One sample, t test for mean from television. You sample 1000 adults O One sample, Z test of proportion to attempt to disprove this claim. O One sample, Chi-square test of variance degrees of freedom O t-test: independent samples, two population pooled variance. O t-test: independent samples, two population unequal variance. Ho O t-test: dependent sampling, matched pairs O F-test for comparing two variances Ha c. You want to support the Hypothesis that O One sample, t test for mean students study more than 10 hours per O One sample, Z. test of proportion week. You will sample 17 students to O One sample, Chi-square test of variance test this claim. t-test: independent samples, two population pooled variance. O t-test: independent samples, two population unequal variance. degrees of freedom O t-test: dependent sampling, matched pairs O F-test for comparing two variances Hoc. You want to support the Hypothesis that O One sample, t test for mean students study more than 10 hours per O One sample, Z test of proportion week. You will sample 17 students to O One sample, Chi-square test of variance test this claim. O t-test: independent samples, two population pooled variance. O t-test: independent samples, two population unequal variance. degrees of freedom O t-test: dependent sampling, matched pairs O F-test for comparing two variances Ho Ha d. You sample 20 mutual funds and want O One sample, t test for mean to support the claim that the standard O One sample, Z test of proportion deviation is under 10. One sample, Chi-square test of variance O t-test: independent samples, two population pooled variance. degrees of freedom O t-test: independent samples, two population unequal variance. O t-test: dependent sampling, matched pairs Ho O F-test for comparing two variances HaPage