Question

Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on...

Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on every weekday (weekends are not counted here). One of the mechanics thinks this is a bad idea because he suspects the number of customers is not evenly distributed across these days. For a sample of 289 customers, the counts by weekday are given in the table.

Number of Customers by Day (n = 289)

Monday Tuesday Wednesday Thursday Friday
Count   55     68     59     67     40  

The Test: Test the claim that the number of customers is not evenly distributed across the five weekdays. Test this claim at the 0.01 significance level.

(a) What is the null hypothesis for this test in terms of the probabilities of the outcomes?

H0:  pmon = ptue = pwed = pthur = pfri = 1/5.H0: At least one of the probabilities doesn't equal 1/5.     H0: None of the probabilities are equal to 1/5.H0:  pmon = 0.55, ptue = 0.68, pwed = 0.59, pthur = 0.67, pfri = 0.40.


(b) What is the value of the test statistic? Round to 3 decimal places unless your software automatically rounds to 2 decimal places.

χ2

=  

(c) Use software to get the P-value of the test statistic. Round to 4 decimal places unless your software automatically rounds to 3 decimal places.
P-value =  

(d) What is the conclusion regarding the null hypothesis?

reject H0fail to reject H0    


(e) Choose the appropriate concluding statement.

We have proven that the number of customers is evenly distributed across the five weekdays.The data supports the claim that the number of customers is not evenly distributed across the five weekdays.    There is not enough data to support the claim that the number of customers is not evenly distributed across the five weekdays.

Homework Answers

Answer #1

a)

H0:  pmon = ptue = pwed = pthur = pfri = 1/5.H0: At least one of the probabilities doesn't equal 1/5

b)

applying chi square test:

           relative observed Expected Chi square
category frequency Oi Ei=total*p R2i=(Oi-Ei)2/Ei
mon 0.200 55.000 57.800 0.136
tue 0.200 68.000 57.800 1.800
wed 0.200 59.000 57.800 0.025
thu 0.200 67.000 57.800 1.464
fri 0.200 40.000 57.800 5.482
total 1.000 289 289 8.907

χ2 =8.91

c)

p value =0.0635 (please try 0.0634 if this comes wrong)

d)

fail to reject H0    

e)

There is not enough data to support the claim that the number of customers is not evenly distributed across the five weekdays.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on...
Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on every weekday (weekends are not counted here). One of the mechanics thinks this is a bad idea because he suspects the number of customers is not evenly distributed across these days. For a sample of 289 customers, the counts by weekday are given in the table. Number of Customers by Day (n = 289) Monday Tuesday Wednesday Thursday Friday Count   53     68     55     65  ...
2.Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on...
2.Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on every weekday (weekends are not counted here). One of the mechanics thinks this is a bad idea because he suspects the number of customers is not evenly distributed across these days. For a sample of 289 customers, the counts by weekday are given in the table. Number of Customers by Day (n = 289) Monday Tuesday Wednesday Thursday Friday Count 55 66 59 63...
Answers to Multiple-Choice Problems: A student wants to see if the correct answers to multiple choice...
Answers to Multiple-Choice Problems: A student wants to see if the correct answers to multiple choice problems are evenly distributed. She heard a rumor that if you don't know the answer, you should always pick C. In a sample of 100 multiple-choice questions from prior tests and quizzes, the distribution of correct answers are given in the table below. In all of these questions, there were four options {A, B, C, D}. Correct Answers (n = 100) A B C...
Answers to Multiple-Choice Problems: A student wants to see if the correct answers to multiple choice...
Answers to Multiple-Choice Problems: A student wants to see if the correct answers to multiple choice problems are evenly distributed. She heard a rumor that if you don't know the answer, you should always pick C. In a sample of 100 multiple-choice questions from prior tests and quizzes, the distribution of correct answers are given in the table below. In all of these questions, there were four options {A, B, C, D}. Correct Answers (n = 100) A B C...
1. MY NOTES Answers to Multiple-Choice Problems: A student wants to see if the correct answers...
1. MY NOTES Answers to Multiple-Choice Problems: A student wants to see if the correct answers to multiple choice problems are evenly distributed. She heard a rumor that if you don't know the answer, you should always pick C. In a sample of 100 multiple-choice questions from prior tests and quizzes, the distribution of correct answers are given in the table below. In all of these questions, there were four options {A, B, C, D}. Correct Answers (n = 100)...
Can someone please show me how to do this type of problem??? Answers to Multiple-Choice Problems:...
Can someone please show me how to do this type of problem??? Answers to Multiple-Choice Problems: A student wants to see if the correct answers to multiple choice problems are evenly distributed. She heard a rumor that if you don't know the answer, you should always pick C. In a sample of 100 multiple-choice questions from prior tests and quizzes, the distribution of correct answers are given in the table below. In all of these questions, there were four options...
M&M's Color Distribution: Suppose the makers of M&M candies give the following average percentages for the...
M&M's Color Distribution: Suppose the makers of M&M candies give the following average percentages for the mix of colors in their bags of plain chocolate M&M's. Stated Distribution of Colors Brown Yellow Red Orange Green Blue Percent   30%   20%   20%   10%   10%   10% Now, you randomly select 200 M&M's and get the counts given in the table below. You expected about 20 blues but only got 9. You suspect that the maker's claim is not true. Observed Counts by Color...
M&M's Color Distribution: Suppose the makers of M&M candies give the following average percentages for the...
M&M's Color Distribution: Suppose the makers of M&M candies give the following average percentages for the mix of colors in their bags of plain chocolate M&M's. Stated Distribution of Colors Brown Yellow Red Orange Green Blue    Percent      30%   20%   20%   10%   10%   10%    Now, you randomly select 200 M&M's and get the counts given in the table below. You expected about 20 blues but only got 10. You suspect that the maker's claim is not true. Observed...
M&M's Color Distribution: Suppose the makers of M&M candies give the following average percentages for the...
M&M's Color Distribution: Suppose the makers of M&M candies give the following average percentages for the mix of colors in their bags of plain chocolate M&M's. Stated Distribution of Colors Brown Yellow Red Orange Green Blue Percent   30%   20%   20%   10%   10%   10% Now, you randomly select 200 M&M's and get the counts given in the table below. You expected about 20 blues but only got 9. You suspect that the maker's claim is not true. Observed Counts by Color...
Flu Vaccine: The Center for Disease Control (CDC) claims that the flu vaccine is effective in...
Flu Vaccine: The Center for Disease Control (CDC) claims that the flu vaccine is effective in reducing the probability of getting the flu. They conduct a trial on 2000 people. The results are summarized in the contingency table below. Observed Frequencies: Oi's Got No Vaccine Vaccine Totals Got Flu   20     21     41   No Flu   1280     679     1959   Totals   1300     700     2000   The Test: Test for a dependent relationship between getting the vaccine and getting the flu. Conduct this test at...