Xavier bought 4,000 shares of XYZ stock at $17.37 per share.This price was down $1.12 from the previous day's closing price.The ticker for this transaction will appear as XYZ 4K@ 17.37  1.12.

The Kruskal-Wallis test statistic can be approximated by a chi-squared distribution with k - 1 degrees of freedom (where k is the number of populations) whenever the sample sizes are all greater than or equal to:

A) 5
B) 15
C) 25
D) 30
E) 45

Suppose that there are two candidates for the president of your school's student government,Candidate A and Candidate B.We believe that Candidate A has about a 52% of the votes of the student body.However,you're worried that only 1000 students will show up to vote.How often will Candidate A lose in this situation? To find out,you set up a simulation.Describe how you will simulate a trial.

A) A trial is 100 votes.Examine 1,000 2-digit random numbers and count how many people voted for Candidate B.That number wins that trial.
B) A trial is 1,000 votes.Examine 1,000 3-digit random numbers and count how many people voted for each candidate.Whoever gets the majority of votes wins that trial.
C) A trial is 100 votes.Examine 100 2-digit random numbers and count how many people voted for each candidate.Whoever gets the majority of votes wins that trial.
D) A trial is 10 votes.Examine 10 1-digit random numbers and count how many people voted for each player.Whoever gets the majority of votes wins that trial.
E) A trial is 1,000 votes.Examine 1,000 3-digit random numbers and only count how many people voted for Candidate A.That number wins that trial.

A food processor wants to compare two preservatives for their effects on retarding spoilage. Suppose 16 cuts of fresh meat are treated with preservative A and 16 are treated with preservative B, and the number of hours until spoilage begins is recorded for each of the 32 cuts of meat. The results are summarized in the table below: Calculate the value of the test statistic for testing the equality of the population variances, and write the proper conclusion for = 0.05.
Test statistic = ______________
Critical Value(s) = ______________
Conclusion: ______________
Interpretation: __________________________________________
Develop the 95% confidence interval estimate of the ratio of the two population variances.
______________

The residual r_i is defined as the difference between the actual value y_i and the estimated value .