Exam 15: Design of Experiments and Analysis of Variance Anova

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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. 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 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: 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 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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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. 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 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 F-statistic value is -The F-statistic value is

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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.      -Suppose that employees fall into several job categories, such as clerical, technical, or professional. Which of the following statements is true? 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.      -Suppose that employees fall into several job categories, such as clerical, technical, or professional. Which of the following statements is true? -Suppose that employees fall into several job categories, such as clerical, technical, or professional. Which of the following statements is true?

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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.      -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 and income level influence the amount consumers spend online for holiday shopping. The two way ANOVA results appear below.   Which of the following statements is true? 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.      -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 and income level influence the amount consumers spend online for holiday shopping. The two way ANOVA results appear below.   Which of the following statements is true? -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 and income level influence the amount consumers spend online for holiday shopping. The two way 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.      -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 and income level influence the amount consumers spend online for holiday shopping. 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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Consider the following to answer the question(s) below: A national car rental company recently conducted a study in which cars with automatic and standard transmissions were rented to male and female customers. Three customers in each category were randomly selected and the miles driven per day was recorded as follows: Consider the following to answer the question(s) below: A national car rental company recently conducted a study in which cars with automatic and standard transmissions were rented to male and female customers. Three customers in each category were randomly selected and the miles driven per day was recorded as follows:    -Based on the design of this study, how many degrees of freedom will be associated with the mean squares for the type of transmission? -Based on the design of this study, how many degrees of freedom will be associated with the mean squares for the type of transmission?

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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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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. 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 treatments? -What is the mean square due to treatments?

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Consider the following to answer the question(s) below: A national car rental company recently conducted a study in which cars with automatic and standard transmissions were rented to male and female customers. Three customers in each category were randomly selected and the miles driven per day was recorded as follows: Consider the following to answer the question(s) below: A national car rental company recently conducted a study in which cars with automatic and standard transmissions were rented to male and female customers. Three customers in each category were randomly selected and the miles driven per day was recorded as follows:    -Given the following output, which of the following statements is true at α = 0.05?  -Given the following output, which of the following statements is true at α = 0.05? Consider the following to answer the question(s) below: A national car rental company recently conducted a study in which cars with automatic and standard transmissions were rented to male and female customers. Three customers in each category were randomly selected and the miles driven per day was recorded as follows:    -Given the following output, which of the following statements is true at α = 0.05?

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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. 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.          a. What are the null and alternative hypotheses (in words, not symbols)? b. Are the conditions / assumptions for ANOVA met? c. Calculate the F-statistic. d. The P-value for this statistic turns out to be < .001. State the conclusion. e. Suppose the company is concerned about whether different batches of green vegetable material would blanch differently. Suggest how the design for the study could have been improved to take this into account. 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.          a. What are the null and alternative hypotheses (in words, not symbols)? b. Are the conditions / assumptions for ANOVA met? c. Calculate the F-statistic. d. The P-value for this statistic turns out to be < .001. State the conclusion. e. Suppose the company is concerned about whether different batches of green vegetable material would blanch differently. Suggest how the design for the study could have been improved to take this into account. 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.          a. What are the null and alternative hypotheses (in words, not symbols)? b. Are the conditions / assumptions for ANOVA met? c. Calculate the F-statistic. d. The P-value for this statistic turns out to be < .001. State the conclusion. e. Suppose the company is concerned about whether different batches of green vegetable material would blanch differently. Suggest how the design for the study could have been improved to take this into account. 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.          a. What are the null and alternative hypotheses (in words, not symbols)? b. Are the conditions / assumptions for ANOVA met? c. Calculate the F-statistic. d. The P-value for this statistic turns out to be < .001. State the conclusion. e. Suppose the company is concerned about whether different batches of green vegetable material would blanch differently. Suggest how the design for the study could have been improved to take this into account. a. What are the null and alternative hypotheses (in words, not symbols)? b. Are the conditions / assumptions for ANOVA met? c. Calculate the F-statistic. d. The P-value for this statistic turns out to be < .001. State the conclusion. e. Suppose the company is concerned about whether different batches of green vegetable material would blanch differently. Suggest how the design for the study could have been improved to take this into account.

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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 F-statistic value is 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 F-statistic value is -The F-statistic value is

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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 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   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? Explain. 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   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? 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   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? 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   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? 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? Explain.

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Consider the following to answer the question(s) below: A national car rental company recently conducted a study in which cars with automatic and standard transmissions were rented to male and female customers. Three customers in each category were randomly selected and the miles driven per day was recorded as follows: Consider the following to answer the question(s) below: A national car rental company recently conducted a study in which cars with automatic and standard transmissions were rented to male and female customers. Three customers in each category were randomly selected and the miles driven per day was recorded as follows:    -Which of the following is not a principle of experimental design? -Which of the following is not a principle of experimental design?

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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 user 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 user 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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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.   -At α = 0.05, we can conclude -At α = 0.05, we can conclude

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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. 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.    -The correct value of the F test statistic is -The correct value of the F test statistic is

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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 correct null hypothesis is 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 correct null hypothesis is -The correct null hypothesis is

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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 user 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 user and recorded the connect time during a week period. The following is partial Excel output for the data.    -In a completely randomized design, which of the following is true? -In a completely randomized design, which of the following is true?

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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 user 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 user and recorded the connect time during a week period. The following is partial Excel output for the data.    -The correct null hypothesis is -The correct null hypothesis is

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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. 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.          a. What are the null and alternative hypotheses (in words, not symbols)? b. Are the conditions / assumptions for ANOVA met? c. Calculate the F-statistic. d. The P-value for this statistic turns out to be < .001. State the conclusion. e. Suppose that employees fall into several job categories, such as clerical, technical, or professional. How might this affect the study results? Suggest how the design for the study could have been improved. 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.          a. What are the null and alternative hypotheses (in words, not symbols)? b. Are the conditions / assumptions for ANOVA met? c. Calculate the F-statistic. d. The P-value for this statistic turns out to be < .001. State the conclusion. e. Suppose that employees fall into several job categories, such as clerical, technical, or professional. How might this affect the study results? Suggest how the design for the study could have been improved. 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.          a. What are the null and alternative hypotheses (in words, not symbols)? b. Are the conditions / assumptions for ANOVA met? c. Calculate the F-statistic. d. The P-value for this statistic turns out to be < .001. State the conclusion. e. Suppose that employees fall into several job categories, such as clerical, technical, or professional. How might this affect the study results? Suggest how the design for the study could have been improved. 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.          a. What are the null and alternative hypotheses (in words, not symbols)? b. Are the conditions / assumptions for ANOVA met? c. Calculate the F-statistic. d. The P-value for this statistic turns out to be < .001. State the conclusion. e. Suppose that employees fall into several job categories, such as clerical, technical, or professional. How might this affect the study results? Suggest how the design for the study could have been improved. a. What are the null and alternative hypotheses (in words, not symbols)? b. Are the conditions / assumptions for ANOVA met? c. Calculate the F-statistic. d. The P-value for this statistic turns out to be < .001. State the conclusion. e. Suppose that employees fall into several job categories, such as clerical, technical, or professional. How might this affect the study results? Suggest how the design for the study could have been improved.

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