State your conclusion to the hypothesis test. 16. A local retailer currently schedules employees based on the assumption that they serve customers uniformly throughout the week (the same number each day). Management is starting to question this assumption and decides to collect data on the number of customers served each day of the week to perform a Chi-Square goodness-of-fit test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday Total 200 Number Served 40 33 35 32 60 www.m Provided the assumptions of the test are satisfied, state your conclusion to the test. Note: the p-value 0.01 a) Cannot be determined. b) There is insufficient evidence to conclude that customers are unevenly distributed throughout the O week. c) There is sufficient evidence to conclude that customers are unevenly distributed throughout the week. State the null and alternative hypotheses.

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State your conclusion to the hypothesis test.
16.
A local retailer currently schedules employees based on the assumption that they serve customers
uniformly throughout the week (the same number each day). Management is starting to question this
assumption and decides to collect data on the number of customers served each day of the week to
perform a Chi-Square goodness-of-fit test at a 5% significance level.
Monday
Tuesday Wednesday Thursday
Friday
Total
200
Number Served
40
33
35
32
60
www.m
Provided the assumptions of the test are satisfied, state your conclusion to the test.
Note: the p-value 0.01
a) Cannot be determined.
b) There is insufficient evidence to conclude that customers are unevenly distributed throughout the O
week.
c) There is sufficient evidence to conclude that customers are unevenly distributed throughout the week.
State the null and alternative hypotheses.
Transcribed Image Text:State your conclusion to the hypothesis test. 16. A local retailer currently schedules employees based on the assumption that they serve customers uniformly throughout the week (the same number each day). Management is starting to question this assumption and decides to collect data on the number of customers served each day of the week to perform a Chi-Square goodness-of-fit test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday Total 200 Number Served 40 33 35 32 60 www.m Provided the assumptions of the test are satisfied, state your conclusion to the test. Note: the p-value 0.01 a) Cannot be determined. b) There is insufficient evidence to conclude that customers are unevenly distributed throughout the O week. c) There is sufficient evidence to conclude that customers are unevenly distributed throughout the week. State the null and alternative hypotheses.
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