Q.1) Consider the following sample of seven bad debt ratios: 7% 4% 6% 7% 5% 4% 9
ID: 3310364 • Letter: Q
Question
Q.1) Consider the following sample of seven bad debt ratios: 7% 4% 6% 7% 5% 4% 9%
Q.2) A local newspaper randomly selects 20 patrons of the Springwood Restaurant on a given Saturday night and has each patron rate the quality of his or her meal as 5 (excellent), 4 (good), 3(average), 2 (poor), or 1 (unsatisfactory). When the results are summarized, it is found that thereare 16 ratings of 5, 3 ratings of 4, and 1 rating of 3. Let Md denote the population median rating that would be given by all possible patrons of the restaurant on the Saturday night.
b. Reason that your conclusion in part a implies that we have very strong evidence that the median rating that would be given by all possible patrons is 5.
Q.3) A loan officer at a bank wishes to compare the new car loan rates charged at banks in Ohio with the new car loan rates of Ohio credit unions. Two independent random samples of bank rates and credit union rates in Ohio are obtained with the following results (all rates are fixed rates):
Because both samples are small, the bank officer is uncertain about the shape of the distributions of bank and credit union new car loan rates. Therefore, the Wilcoxon rank sum test will be used to compare the two types of loan rates.
Q.4) The test scores shown in the following table were recorded by two different professors for two sections of the same course. Using the Wilcoxon rank sum test and = 0.05, determine whether the locations of the two distributions are equal.
Bank Rates 4.25 3.50 3.25 4.00 4.10 3.75 3.50 4.25 Credit Union Rates 3.25 2.25 2.75 3.00 2.50 3.00 2.40 2.50Explanation / Answer
QUESTION 4 :
Copy the data in Excel and save as .csv file.
> data1=read.csv(file.choose(),header=T) #importing the file into R
> attach(data1) #attaching the dataset
> wilcox.test(A,B,paired=F) #running wilcoxon rank-sum test
Wilcoxon rank sum test with continuity correction
data: A and B
W = 46, p-value = 0.05077
alternative hypothesis: true location shift is not equal to 0
Since p-value > 0.05, we accept the null hypothesis and conclude that the locations of the two distributions are not significantly different.
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.