What is the chi-squared test statistic for this data set?What is the appropriate degrees of freedom value for this test? b.What is the critical value that you would use to determine if there is a significant mismatch between the observed and expected values? c.Select a conclusion statement from this list of choices.(picture is attached)
What is the chi-squared test statistic for this data set?What is the appropriate degrees of freedom value for this test? b.What is the critical value that you would use to determine if there is a significant mismatch between the observed and expected values? c.Select a conclusion statement from this list of choices.(picture is attached)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1W. Need help with question 1parts a-c
a.What is the chi-squared test statistic for this data set?What is the appropriate degrees of freedom value for this test?
b.What is the critical value that you would use to determine if there is a significant mismatch between the observed and
c.Select a conclusion statement from this list of choices.(picture is attached)

Transcribed Image Text:The company has good evidence of a mismatch between the expected and observed values (p>0.05).
The company has good evidence of a mismatch between the expected and observed values (0.025<p<0.05).
The company has good evidence of a mismatch between the expected and observed values (0.02<p<0.025).
The company has good evidence of a mismatch between the expected and observed values (0.01<p<0.02).
The company has good evidence of a mismatch between the expected and observed values (0.001<p<0.01).
The company has good evidence of a mismatch between the expected and observed values (p<0.001).
The company lacks good evidence of a mismatch between the expected and observed values (p>0.05).
O The company lacks good evidence of a mismatch between the expected and observed values (0.025<p<0.05).
The company lacks good evidence of a mismatch between the expected and observed values (0.02<p<0.025).
The company lacks good evidence of a mismatch between the expected and observed values (0.01<p<0.02).
The company lacks good evidence of a mismatch between the expected and observed values (0.001<p<0.01).
The company lacks good evidence of a mismatch between the expected and observed values (p<0.001).

Transcribed Image Text:Consider a situation where a company expects to receive the exact same number of customers during each weekday. They decide to gather some data to test this
hypothesis. The table shows observed customer number values for each day of the week.
Day Customers
Mon
23
Tue
15
Wed
30
Thu
34
Fri
13
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