A recent national report states the marital status distribution of the male population age 18 or older is as follows: Never Married (32.5%), Married (53.5%), Widowed (2.8%), Divorced (11.2%). The table below shows the results of a random sample of 1628 adult men from California. Test the claim that the distribution from  California is as expected at the αα = 0.10 significance level. Complete the table by filling in the expected frequencies. Round to the nearest whole number: Frequencies of Marital Status Outcome Frequency Expected Frequency Never Married 538   Married 868   Widowed 55   Divorced 167   What is the correct statistical test to use? Select an answer Independence Goodness-of-Fit Homogeneity Paired t-test  What are the null and alternative hypotheses? H0:H0:  The distribution of marital status in California is not the same as it is nationally. Marital status and residency are dependent. The distribution of marital status in California is the same as it is nationally. Marital status and residency are independent. H1:H1:  The distribution of marital status in California is not the same as it is nationally. Marital status and residency are dependent. The distribution of marital status in California is the same as it is nationally. Marital status and residency are independent.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

A recent national report states the marital status distribution of the male population age 18 or older is as follows: Never Married (32.5%), Married (53.5%), Widowed (2.8%), Divorced (11.2%). The table below shows the results of a random sample of 1628 adult men from California. Test the claim that the distribution from  California is as expected at the αα = 0.10 significance level.

  1. Complete the table by filling in the expected frequencies. Round to the nearest whole number:
    Frequencies of Marital Status
    Outcome Frequency Expected Frequency
    Never Married 538

     

    Married 868  
    Widowed 55  
    Divorced 167  
  2. What is the correct statistical test to use?
    Select an answer Independence Goodness-of-Fit Homogeneity Paired t-test 
  3. What are the null and alternative hypotheses?
    H0:H0: 
    • The distribution of marital status in California is not the same as it is nationally.
    • Marital status and residency are dependent.
    • The distribution of marital status in California is the same as it is nationally.
    • Marital status and residency are independent.



    H1:H1: 
    • The distribution of marital status in California is not the same as it is nationally.
    • Marital status and residency are dependent.
    • The distribution of marital status in California is the same as it is nationally.
    • Marital status and residency are independent.
  4. The degrees of freedom = 


  5. The test-statistic for this data =  (Please show your answer to three decimal places.)





  6. The p-value for this sample = (Please show your answer to four decimal places.) 


  7. The p-value is Select an answer less than (or equal to) greater than  αα 


  8. Based on this, we should Select an answer fail to reject the null accept the null reject the null 


  9. Thus, the final conclusion is...
    • There is insufficient evidence to conclude that marital status and residency are dependent.
    • There is insufficient evidence to conclude that the distribution of marital status in California is not the same as it is nationally.
    • There is sufficient evidence to conclude that the distribution of marital status in California is not the same as it is nationally.
    • There is sufficient evidence to conclude that marital status and residency are dependent.
    • There is sufficient evidence to conclude that the distribution of marital status in California is the same as it is nationally.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 1 images

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
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.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
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 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…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
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
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman