Exam 15: Design of Experiments and Analysis of Variance Anova

An advocacy group is interested in determining if gender (1 = Female, 2 = Male) affects executive level salaries. They take a random sample of executives in three different industries: (1 = Consumer Goods, 2 = Financial, 3 = Health Care). Salary data are collected. The two-way ANOVA results appear below. a. Is this an experiment or observational study? b. Are the conditions for two-way ANOVA met? c. If so, perform the hypothesis tests and state your conclusions in terms of amount spent online, gender, and income level. d. Is it appropriate to interpret the main effects in this case? Explain.

Consider the following to answer the question(s) below: An Internet service provider is interested in testing to see if there is a difference in the mean weekly connect time for users who come into the service through a dial-up line, DSL, or cable Internet. To test this, the ISP has selected random samples from each category of user and recorded the connect time during a week period. The following is partial Excel output for the data. -The F-statistic value is

Consider the following to answer the question(s) below: A health food company wants to determine the best process for blanching dark green vegetable material so it can be added to other food products without losing vitamin A. They are examining three different blanching processes to determine which is best in terms of vitamin A retention (mg/100mg). The data collected and partial ANOVA results appear below. -The correct null hypothesis is

Consider the following to answer the question(s) below: To test the fuel efficiency of three new car models, random samples of twenty were selected from each of the models and litres/100 kilometres data obtained. Partial output follows. -What is the mean square due to the error?