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Question1)a milk company has four machines that fill gallon jugs of milk. The quality control manager is interested in determining whether the average fill for these machines is the same. The following data represent random samples of fill measures (in quarts) for 19 jugs of milk filled by the different machines. Using a significance level of 1%, develop an ANOVA to determine if the average fill for these machines is the same.
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Catherine Chao, Director of Marketing Research, is evaluating consumer acceptance of alternative toothpaste packages. She wonders whether acceptance is influenced by children in the household. Her staff prepared the following contingency table from a random sample of 100 households.
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A steel company is considering the relocation of one of its manufacturing plants. The company's executives have selected 4 areas that they believe are suitable locations. However they want to determine if the average wages are significantly different in any of the locations, since this could have major impact on the cost of production. A survey of hourly wages of 8 similar workers in each of the 4 areas is performed.
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A study of the career plans of young women and men sent questionnaires to all members of the senior class in the College of Business of a local university. One question asked which major within the business program the student had chosen. The data obtained from the students who responded is shown below.
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Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the discount level offered to credit customers affects the average collection period on credit sales. Accordingly, she has designed an experiment to test her theory using four sales discount rates (0%, 2%, 4%, and 6%) by randomly assigning five customers to each sales discount rate. An analysis of Cindy's data produced the following ANOVA table.
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Sam Hill, Director of Media Research, is analyzing subscribers to the Life West of the Saline magazine. He wonders whether subscriptions are influenced by the head of household's employment classification. His staff prepared the following contingency table from a random sample of 150 households.
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A physical traiiner has 4 workout plans that he recommends for his clients. The workouts have been designed so that the average maximum heart rate achieved is the same for each workout. He randomly selects and assign 5 people to each of the 4 workout plans. During each workout he measures the maximum heart rate in beats per minute and obtains the following results.
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All current-carrying wires produce electromagnetic (EM) radiation, including the electrical wiring running into, through, and out of our homes. High frequency EM radiation is thought to be a cause of cancer; the lower frequencies associated with household current are generally assumed to be harmless. To investigate this, researchers visited the addresses of children in the Denver area who had died of some form of cancer (leukemia, lymphoma, or some other type) and classified the wiring configuration outside the building as either a high-current configuration (HCC) or as a low-current configuration (LCC). Here are some of the results of the study.
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A software support company is interested in determining whether the number of requests for service received in any given month varies depending on the industry sector to which their clients belong.
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A researcher wishes to see whether the type of gasoline used and the type of automobile driven have any effect on gasoline consumption. Two types of gasoline, regular, and high-octane, will be used, and two types of automobiles, two –wheel – and four –wheel-drive, will be used in each group. There will be two automobiles in each group, for a total of eight automobiles used. Complete the following two-way ANOVA table.
The value of the mean square for the Type of Automobile is ________ |
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