Exam 15: Design of Experiments and Analysis of Variance Anova

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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 users and recorded the connect time during a week period. The following is partial Excel output for the data. 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 users and recorded the connect time during a week period. The following is partial Excel output for the data.   -The P-value for this statistic is < 0.001. Therefore, at α = 0.05 -The P-value for this statistic is < 0.001. Therefore, at α = 0.05

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Consider the following to answer the question(s): 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. Consider the following to answer the question(s): 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.   -Which of the following statements is true? -Which of the following statements is true?

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A survey of online consumers asked respondents to indicate how much money they spent for online purchases during the most recent Christmas holiday season. These data were analyzed to see if gender (1= Female; 2 = Male) and income level (1 = Low, 2 = Middle, 3 = High) influence the amount consumers spend online for holiday shopping. The two-way ANOVA results appear below. A survey of online consumers asked respondents to indicate how much money they spent for online purchases during the most recent Christmas holiday season. These data were analyzed to see if gender (1= Female; 2 = Male) and income level (1 = Low, 2 = Middle, 3 = High) influence the amount consumers spend online for holiday shopping. 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 separately? Explain. A survey of online consumers asked respondents to indicate how much money they spent for online purchases during the most recent Christmas holiday season. These data were analyzed to see if gender (1= Female; 2 = Male) and income level (1 = Low, 2 = Middle, 3 = High) influence the amount consumers spend online for holiday shopping. 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 separately? Explain. 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 separately? Explain.

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Consider the following to answer the question(s) below: Management styles differ among organizations and may potentially affect employee job satisfaction. A sample of employees was randomly selected from each of three companies with different management styles (Authoritarian, Laissez-faire and Participative) and asked to rate their level of job satisfaction on a 10-point scale (10 being the highest level of satisfaction). The data collected and partial ANOVA results appear below. Consider the following to answer the question(s) below: Management styles differ among organizations and may potentially affect employee job satisfaction. A sample of employees was randomly selected from each of three companies with different management styles (Authoritarian, Laissez-faire and Participative) and asked to rate their level of job satisfaction on a 10-point scale (10 being the highest level of satisfaction). The data collected and partial ANOVA results appear below.      -The P-value for this statistic turns out to be < 0.001. Therefore, at α = 0.05 Consider the following to answer the question(s) below: Management styles differ among organizations and may potentially affect employee job satisfaction. A sample of employees was randomly selected from each of three companies with different management styles (Authoritarian, Laissez-faire and Participative) and asked to rate their level of job satisfaction on a 10-point scale (10 being the highest level of satisfaction). The data collected and partial ANOVA results appear below.      -The P-value for this statistic turns out to be < 0.001. Therefore, at α = 0.05 -The P-value for this statistic turns out to be < 0.001. Therefore, at α = 0.05

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