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A personnel manager is concerned about absenteeism. She decides to sample the records to determine if absenteeism is distributed evenly throughout the six-day workweek. The null hypothesis to be tested is: Absenteeism is distributed evenly throughout the week. The 0.01 level is to be used. The sample results are:
Day of the Week
Number Absent
Monday
12
Tuesday
9
Wednesday
11
Thursday
10
Friday
Saturday
1. What is the expected frequency?
a. 9 b. 10 c. 11 d. 12
2.What is the calculated value of chi-square?
a. 1.0 b. 0.5 c. 0.8 d. 8.0
3.What is your conclusion?
a. Absenteeism is evenly distributed throughout the week. b. Absenteeism is not evenly distributed throughout the week. c. I cannot say anything about absenteeism based on my statistics. d. Absenteeism is increasing throughout the week.
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Is there evidence of violations of the usual ANOVA assumptions of equal variances and normal populations? Set up and perform appropriate TESTS at the α = 0.05 level of significance.
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Test out an suitable hypothesis also state your conclusion. Make sure the suitable assumption as well as conditions are satisfied before you proceed.
Develop a 99% confidence interval for the population proportion.
The American Sugar Producers Association wants to estimate the mean yearly sugar consumption. A sample of 16 people reveals the mean yearly consumption to be 60 pounds with a standard deviation of 20 pounds.
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