Provided below are summary statistics for independent simple random samples from two populations. Use the pooled​ t-test and the pooled​ t-interval procedure to conduct the required hypothesis test and obtain the specified confidence interval.   x1=20​, s1=5​, n1=10​, x2=19​, s2=6​, n2=13   a.​ Right-tailed test, α=0.05 b. 90​% confidence interval   a. What are the correct hypotheses for a​ right-tailed test?   A. H0​: μ1>μ2 Ha​: μ1=μ2   B. H0​: μ1=μ2 Ha​: μ1≠μ2   C. H0​: μ1≠μ2 Ha​: μ1=μ2   D. H0​: μ1=μ2 Ha​: μ1<μ2   E. H0​: μ1=μ2 Ha​: μ1>μ2   F. H0​: μ1<μ2 Ha​: μ1=μ2

Below are the sample standard deviations and sample sizes for independent simple random samples from two populations. Use the two-standard-deviations F-test and the two-standard-deviations F-interval procedure to conduct the required hypothesis test and obtain the specified confidence interval. S₁ = 21.5, n₁ = 13, S₂ = 36.9, n₂ = 5 a. two-tailed test, a = 0.05 b. 95% confidence interval

CorpPlus is a large corporation with many employees. You work for the human resources department of CorpPlus and want to estimate the population proportion of all employees who say the corporation is a great place to work. So, you will survey a random sample of 95 employees from CorpPlus and ask them whether they think the corporation is a great place to work. Follow the steps below to construct a 99% confidence interval for the population proportion of all employees who say the corporation is a great place to work. (If necessary, consult a list of formulas.) (a) Click on "Take Sample" to see the results from the random sample. Take Sample Sample size: 0 Point estimate: 0 Critical value: 0 Compute 0.000 Says the corporation is a great place to work Enter the values of the sample size, the point estimate of the population proportion, and the critical value you need for your 99% confidence interval. (Choose the correct critical value from the table of critical values provided.) When you…

Two groups were selected for an experiment.  The sample data is reported:                                                       Group A                     Group  B Sample Mean Spending/day ($)        170                          150  Sample Standard deviation ($)          10                              5  # of Females                                       9                                7                      Sample Size                                       36                              42 a.   Set up a 99% confidence interval for the mean difference in spending between the two groups. b.  At the 10% level test the alternate hypothesis that group B has lower spending level than Group A.