A statistics professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon.He takes independently random samples,each of size 36,consisting of students who took a morning and an afternoon class,and compares the scores of each group on a common final exam.He finds that the morning group scored an average of 74 with a standard deviation of 8,while the evening group scored an average of 68 with a standard deviation of 10.The population standard deviation of scores is unknown but is assumed to be equal for morning and evening classes.Let µ1 andµ2 represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon,respectively.Which of the following is(are) the appropriate critical value(s) to test the professor's claim at the 1% significance level?
A) -2.381 and 2.381
B) -2.326 and 2.326
C) 2.326
D) 2.381
Correct Answer:
Verified
Q62: A tutor promises to improve GMAT scores
Q64: A 7,000-seat theater is interested in determining
Q66: A producer of fine chocolates believes that
Q70: A new sales training program has been
Q71: A statistics professor at a large university
Q74: A university wants to compare out-of-state applicants'
Q75: A bank is trying to determine which
Q77: A producer of fine chocolates believes that
Q78: A new sales training program has been
Q93: A tutor promises to improve GMAT scores
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents