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 140 employee absences. The distribution of these 140 absences is shown in the table below. The observed frequency for each category (each weekday) is shown in the first row of numbers. The second row of numbers contains the frequencies expected for a sample of 140 employees if employee absences at the firm are equally likely on each of the five weekdays. The bottom row of numbers contains the following value for each of the categories. ( 10-SE ) (ObservefrequencyExpectettequendy SE Expectefrequency Part 1 Fill in the missing values in the table. Round your responses for the expected frequencies to two or more decimal places. Round your (JOSE ) responses to three or more decimal places. Send data to Excel Monday Tuesday Wednesday Thursday Friday Total X 2 Observed frequency 34 23 25 24 34 140 JO Expected frequency 28.00 28.00 28.00 JE (JOSE)2 0.893 0.571 1.286 SE Part 2 Answer the following to summarize the test of the hypothesis that employee absences at this firm are equally likely on each of the five weekdays. Use the 0.05 level of significance for the test. (a) Determine the type of test statistic to use. X ? Type of test statistic: Chi-square V Degrees of freedom: (b) Find the value of the test statistic. (Round your answer to two or more decimal places.) (c) Find the p-value. (Round your answer to three or more decimal places.) (d) Can we conclude that absences by the firm's employees are more likely on some day(s) of the week than on others? Yes No