Answer the following questions. a. The manager of a company wishes to study the number of hours the employees spend at their desktop computers. The manager selected a sample of six employees from three teams: A, B and C. At the 0.05 significance level, can the manager conclude there is a difference in the mean number of hours spent per week by team? Given the treatment sum of squares is 10 and total sum of squares is 40. b. A real estate developer is considering investing in a shopping mall. Three areas are being evaluated. Of particular importance is the income in the area surrounding the proposed mall. A random sample of five families is selected near each proposed mall. At the 0.05 significance level, can the developer conclude there is difference in the mean income? Given the treatment sum of squares is 44 and total sum of squares is
Answer the following questions.
a. The manager of a company wishes to study the number of hours the employees spend at their desktop computers. The manager selected a sample of six employees from three teams: A, B and C. At the 0.05 significance level, can the manager conclude there is a difference in the mean number of hours spent per week by team? Given the treatment sum of squares is 10 and total sum of squares is 40.
b. A real estate developer is considering investing in a shopping mall. Three areas are being evaluated. Of particular importance is the income in the area surrounding the proposed mall. A random sample of five families is selected near each proposed mall. At the 0.05 significance level, can the developer conclude there is difference in the mean income? Given the treatment sum of squares is 44 and total sum of squares is
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