Does it seem to you that people tend to be absent more on some days of the week than on others? Recently, a major biotechnology firm collected data with the hope of determining whether or not its employees were more likely to be absent (due to personal reasons or illness) on some weekdays than on others. The firm examined a random sample of
150
employee absences.
The distribution of these
150
absences is shown in Table 1 below. The observed frequencies for each category (each weekday) are shown in the first row of numbers in Table 1. The second row of numbers contains the frequencies expected for a sample of
150
employees if employee absences at the firm are equally likely on each of the five weekdays. The bottom row of numbers in Table 1 contains the values
−fOfE2 

fE 
for each of the categories.
Fill in the missing values of Table 1. Then, using the
0.10
level of significance, perform a test of the hypothesis that employee absences at this firm are equally likely on each of the five weekdays. Then complete Table 2.
Round your responses for the expected frequencies in Table 1 to at least two decimal places. Round your
−fOfE2fE
responses in Table 1 to at least three decimal places. Round your responses in Table 2 as specified.
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Does it seem to you that people tend to be absent more on some days of...
Employers want to know which days of the week employees are absent in a fiveday work week. Most employers would like to believe that employees are absent equally during the week. Suppose a random sample of 70 managers were asked on which day of the week they had the highest number of employee absences. The results were distributed as in Table. For the population of employees, do the days for the highest number of absences occur with equal frequencies during...
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