The manager of a resort hotel stated that the mean guest bill for a weekend is $800 or less. A member of the hotel's accounting staff noticed that the total charges for guest bills have been increasing in recent months. The accountant will use a sample of future weekend guest bills to test the manager's claim. (a) Which form of the hypotheses should be used to test the manager's claim? Explain. H0: μ ≥ 800 Ha: μ < 800 H0: μ ≤ 800 Ha: μ > 800 H0: μ = 800 Ha: μ ≠ 800 The hypotheses H0: μ ≥ 800 and Ha: μ < 800 should be used because the accountant wants to test the manager's claim that the mean guest bill μ is greater than or equal to 800 and find evidence to support μ < 800.The hypotheses H0: μ ≤ 800 and Ha: μ > 800 should be used because the accountant wants to test the manager's claim that the mean guest bill μ is less than or equal to 800 and find evidence to support μ > 800. The hypotheses H0: μ = 800 and Ha: μ ≠ 800 should be used because the accountant wants to test the manager's claim that the mean guest bill μ is equal to 800 and find evidence to support μ ≠ 800. (b) What conclusion is appropriate when H0 cannot be rejected? We are not able to conclude that the manager's claim is wrong. We cannot conclude that μ ≠ 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ = 800. We are not able to conclude that the manager's claim is wrong. We cannot conclude that μ > 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ ≤ 800.We are not able to conclude that the manager's claim is wrong. We can conclude that μ ≥ 800. (c) What conclusion is appropriate when H0 can be rejected? We are able to conclude that the manager's claim is wrong. We can conclude that μ > 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ < 800. We are not able to conclude that the manager's claim is wrong. We can conclude that μ > 800.We are not able to conclude that the manager's claim is wrong. We can conclude that μ < 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ ≠ 800.
The manager of a resort hotel stated that the mean guest bill for a weekend is $800 or less. A member of the hotel's accounting staff noticed that the total charges for guest bills have been increasing in recent months. The accountant will use a sample of future weekend guest bills to test the manager's claim. (a) Which form of the hypotheses should be used to test the manager's claim? Explain. H0: μ ≥ 800 Ha: μ < 800 H0: μ ≤ 800 Ha: μ > 800 H0: μ = 800 Ha: μ ≠ 800 The hypotheses H0: μ ≥ 800 and Ha: μ < 800 should be used because the accountant wants to test the manager's claim that the mean guest bill μ is greater than or equal to 800 and find evidence to support μ < 800.The hypotheses H0: μ ≤ 800 and Ha: μ > 800 should be used because the accountant wants to test the manager's claim that the mean guest bill μ is less than or equal to 800 and find evidence to support μ > 800. The hypotheses H0: μ = 800 and Ha: μ ≠ 800 should be used because the accountant wants to test the manager's claim that the mean guest bill μ is equal to 800 and find evidence to support μ ≠ 800. (b) What conclusion is appropriate when H0 cannot be rejected? We are not able to conclude that the manager's claim is wrong. We cannot conclude that μ ≠ 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ = 800. We are not able to conclude that the manager's claim is wrong. We cannot conclude that μ > 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ ≤ 800.We are not able to conclude that the manager's claim is wrong. We can conclude that μ ≥ 800. (c) What conclusion is appropriate when H0 can be rejected? We are able to conclude that the manager's claim is wrong. We can conclude that μ > 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ < 800. We are not able to conclude that the manager's claim is wrong. We can conclude that μ > 800.We are not able to conclude that the manager's claim is wrong. We can conclude that μ < 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ ≠ 800.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Topic Video
Question
The manager of a resort hotel stated that the mean guest bill for a weekend is $800 or less. A member of the hotel's accounting staff noticed that the total charges for guest bills have been increasing in recent months. The accountant will use a sample of future weekend guest bills to test the manager's claim.
(a)
Which form of the hypotheses should be used to test the manager's claim? Explain.
H0: μ ≥ 800
Ha: μ < 800
H0: μ ≤ 800
Ha: μ > 800
H0: μ = 800
Ha: μ ≠ 800
The hypotheses H0: μ ≥ 800 and Ha: μ < 800 should be used because the accountant wants to test the manager's claim that the mean guest bill μ is greater than or equal to 800 and find evidence to support μ < 800.The hypotheses H0: μ ≤ 800 and Ha: μ > 800 should be used because the accountant wants to test the manager's claim that the mean guest bill μ is less than or equal to 800 and find evidence to support μ > 800. The hypotheses H0: μ = 800 and Ha: μ ≠ 800 should be used because the accountant wants to test the manager's claim that the mean guest bill μ is equal to 800 and find evidence to support μ ≠ 800.
(b)
What conclusion is appropriate when
H0
cannot be rejected?We are not able to conclude that the manager's claim is wrong. We cannot conclude that μ ≠ 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ = 800. We are not able to conclude that the manager's claim is wrong. We cannot conclude that μ > 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ ≤ 800.We are not able to conclude that the manager's claim is wrong. We can conclude that μ ≥ 800.
(c)
What conclusion is appropriate when
H0
can be rejected?We are able to conclude that the manager's claim is wrong. We can conclude that μ > 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ < 800. We are not able to conclude that the manager's claim is wrong. We can conclude that μ > 800.We are not able to conclude that the manager's claim is wrong. We can conclude that μ < 800.We are able to conclude that the manager's claim is wrong. We can conclude that μ ≠ 800.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 4 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman