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
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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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 expected values?

c.Select a conclusion statement from this list of choices.(picture is attached)

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: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).
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
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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