A study identified Bridgeport, Connecticut, San Jose, California, Washington, D.C., and Lexington Park, Maryland as the four U.S. cities with the highest percentage of millionaires. The following data show the following number of millionaires for samples of individuals from each of the four cities. Millionaire City Bridgeport, CT San Jose, CA Washington, D.C. Lexington Park, MD Yes 39 30 31 29 No 461 270 369 371 (a) What is the estimate of the percentage of millionaires in each of these cities? (Round your answers to two decimal places.) Bridgeport, CT % San Jose, CA % Washington, D.C. % Lexington Park, MD % (b) Using a 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. State the null and alternative hypotheses. H0: pB = pL = pN = pW Ha: Not all population proportions are equal.H0: Not all population proportions are equal. Ha: pB = pL = pN = pW H0: pB ≠ pL ≠ pN ≠ pW Ha: All population proportions are equal.H0: At least two of the population proportions are equal. Ha: None of the population proportions are equal. Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. Do not reject H0. We cannot conclude that there is a difference among the population proportion of millionaires for these four cities. Reject H0. We conclude that there is a difference among the population proportion of millionaires for these four cities. Reject H0. We cannot conclude that there is a difference among the population proportion of millionaires for these four cities.Do not reject H0. We conclude that there is a difference among the population proportion of millionaires for these four cities.
A study identified Bridgeport, Connecticut, San Jose, California, Washington, D.C., and Lexington Park, Maryland as the four U.S. cities with the highest percentage of millionaires. The following data show the following number of millionaires for samples of individuals from each of the four cities. Millionaire City Bridgeport, CT San Jose, CA Washington, D.C. Lexington Park, MD Yes 39 30 31 29 No 461 270 369 371 (a) What is the estimate of the percentage of millionaires in each of these cities? (Round your answers to two decimal places.) Bridgeport, CT % San Jose, CA % Washington, D.C. % Lexington Park, MD % (b) Using a 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. State the null and alternative hypotheses. H0: pB = pL = pN = pW Ha: Not all population proportions are equal.H0: Not all population proportions are equal. Ha: pB = pL = pN = pW H0: pB ≠ pL ≠ pN ≠ pW Ha: All population proportions are equal.H0: At least two of the population proportions are equal. Ha: None of the population proportions are equal. Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. Do not reject H0. We cannot conclude that there is a difference among the population proportion of millionaires for these four cities. Reject H0. We conclude that there is a difference among the population proportion of millionaires for these four cities. Reject H0. We cannot conclude that there is a difference among the population proportion of millionaires for these four cities.Do not reject H0. We conclude that there is a difference among the population proportion of millionaires for these four cities.
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
Question
A study identified Bridgeport, Connecticut, San Jose, California, Washington, D.C., and Lexington Park, Maryland as the four U.S. cities with the highest percentage of millionaires. The following data show the following number of millionaires for samples of individuals from each of the four cities.
Millionaire | City | |||
---|---|---|---|---|
Bridgeport, CT | San Jose, CA | Washington, D.C. | Lexington Park, MD | |
Yes | 39 | 30 | 31 | 29 |
No | 461 | 270 | 369 | 371 |
(a)
What is the estimate of the percentage of millionaires in each of these cities? (Round your answers to two decimal places.)
Bridgeport, CT % San Jose, CA % Washington, D.C. % Lexington Park, MD %
(b)
Using a 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities.
State the null and alternative hypotheses.
H0: pB = pL = pN = pW
Ha: Not all population proportions are equal.H0: Not all population proportions are equal.
Ha: pB = pL = pN = pW H0: pB ≠ pL ≠ pN ≠ pW
Ha: All population proportions are equal.H0: At least two of the population proportions are equal.
Ha: None of the population proportions are equal.
Ha: Not all population proportions are equal.H0: Not all population proportions are equal.
Ha: pB = pL = pN = pW H0: pB ≠ pL ≠ pN ≠ pW
Ha: All population proportions are equal.H0: At least two of the population proportions are equal.
Ha: None of the population proportions are equal.
Find the value of the test statistic. (Round your answer to three decimal places.)
Find the p-value. (Round your answer to four decimal places.)
p-value =
State your conclusion.
Do not reject H0. We cannot conclude that there is a difference among the population proportion of millionaires for these four cities. Reject H0. We conclude that there is a difference among the population proportion of millionaires for these four cities. Reject H0. We cannot conclude that there is a difference among the population proportion of millionaires for these four cities.Do not reject H0. We conclude that there is a difference among the population proportion of millionaires for these four cities.
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 with 1 images
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