Question

To compare prices of two local stores, a random sample of items that are sold in...

  1. To compare prices of two local stores, a random sample of items that are sold in both stores were selected and their price noted in the first weekend of the year: (6 marks)

Item

Store A

Store B

Difference (Store A - Store B)

1

1.65

1.99

-0.34

2

8.70

8.49

0.21

3

0.75

0.90

-0.15

4

1.05

0.99

0.06

5

11.30

11.99

-0.69

6

7.70

7.99

-0.29

  1. What are the null and alternative hypothesis if we want to confirm that on average, prices at Store 1 is different from the prices at Store 2, that is, the difference is different from 0?
  1. Compute the test statistic t used to test the hypothesis.

  1. Compute the degree of freedom for the test statistic t

  1. Can we conclude that on average, prices at Store 1 is different from the prices at Store 2? Use the critical-value approach and α = 0.05 to conduct the hypothesis test. (Note: please do everything manually while using formulas written in answers so that i can understand)

Homework Answers

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
To compare prices of two local stores, a random sample of items that are sold in...
To compare prices of two local stores, a random sample of items that are sold in both stores were selected and their price noted in the first weekend of the year: (12 marks) Item Store A Store B Difference (Store A - Store B) 1 1.65 1.99 -0.34 2 8.70 8.49 0.21 3 0.75 0.90 -0.15 4 1.05 0.99 0.06 5 11.30 11.99 -0.69 6 7.70 7.99 -0.29 What are the null and alternative hypothesis if we want to confirm...
To compare prices of two grocery stores in Toronto, a random sample of items that are...
To compare prices of two grocery stores in Toronto, a random sample of items that are sold in both stores were selected and their price noted in the first weekend of July 2018: (12 Points) Item Store A Store B Difference (Store A - Store B) 1 1.65 1.98 -0.33 2 8.70 8.49 0.21 3 0.75 0.89 -0.14 4 1.05 0.99 0.06 5 11.30 11.99 -0.69 6 7.70 7.99 -0.29 7 6.55 6.99 -0.44 8 3.70 3.59 0.11 9 8.60...
Waiting time for checkout line at two stores of a supermarket chain were measured for a...
Waiting time for checkout line at two stores of a supermarket chain were measured for a random sample of customers at each store. The chain wants to use this data to test the research (alternative) hypothesis that the mean waiting time for checkout at Store 1 is lower than that of Store 2. (12 points) Store 1 (in Seconds) Store 2 (in Seconds) 470 375 394 319 167 266 293 324 187 244 115 178 195 279 400 289 228...
A marketing consultant was hired to visit a random sample of five sporting goods stores across...
A marketing consultant was hired to visit a random sample of five sporting goods stores across the state of California. Each store was part of a large franchise of sporting goods stores. The consultant taught the managers of each store better ways to advertise and display their goods. The net sales for 1 month before and 1 month after the consultant's visit were recorded as follows for each store (in thousands of dollars): Store 1 2 3 4 5 Before...
A marketing consultant was hired to visit a random sample of five sporting goods stores across...
A marketing consultant was hired to visit a random sample of five sporting goods stores across the state of California. Each store was part of a large franchise of sporting goods stores. The consultant taught the managers of each store better ways to advertise and display their goods. The net sales for 1 month before and 1 month after the consultant's visit were recorded as follows for each store (in thousands of dollars): Store 1 2 3 4 5 Before...
A marketing consultant was hired to visit a random sample of five sporting goods stores across...
A marketing consultant was hired to visit a random sample of five sporting goods stores across the state of California. Each store was part of a large franchise of sporting goods stores. The consultant taught the managers of each store better ways to advertise and display their goods. The net sales for 1 month before and 1 month after the consultant's visit were recorded as follows for each store (in thousands of dollars): Store 1 2 3 4 5 Before...
A random sample of 49 measurements from one population had a sample mean of 16, with...
A random sample of 49 measurements from one population had a sample mean of 16, with sample standard deviation 3. An independent random sample of 64 measurements from a second population had a sample mean of 18, with sample standard deviation 4. Test the claim that the population means are different. Use level of significance 0.01. (a) What distribution does the sample test statistic follow? Explain. The Student's t. We assume that both population distributions are approximately normal with known...
A random sample of n1 = 49 measurements from a population with population standard deviation σ1...
A random sample of n1 = 49 measurements from a population with population standard deviation σ1 = 5 had a sample mean of x1 = 8. An independent random sample of n2 = 64 measurements from a second population with population standard deviation σ2 = 6 had a sample mean of x2 = 11. Test the claim that the population means are different. Use level of significance 0.01.(a) Check Requirements: What distribution does the sample test statistic follow? Explain. The...
A random sample of n1 = 49 measurements from a population with population standard deviation σ1...
A random sample of n1 = 49 measurements from a population with population standard deviation σ1 = 3 had a sample mean of x1 = 13. An independent random sample of n2 = 64 measurements from a second population with population standard deviation σ2 = 4 had a sample mean of x2 = 15. Test the claim that the population means are different. Use level of significance 0.01. (a) Check Requirements: What distribution does the sample test statistic follow? Explain....
A random sample of n1 = 49 measurements from a population with population standard deviation σ1...
A random sample of n1 = 49 measurements from a population with population standard deviation σ1 = 5 had a sample mean of x1 = 11. An independent random sample of n2 = 64 measurements from a second population with population standard deviation σ2 = 6 had a sample mean of x2 = 14. Test the claim that the population means are different. Use level of significance 0.01. (a) Check Requirements: What distribution does the sample test statistic follow? Explain....