An investigation is performed to evaluate two new experimental treatments for allergies. 18 subjects who suffer from allergies are enrolled in the study and randomly assigned to one of three treatments: Control Group, Experimental Treatment 1, or Experimental Treatment 2. Each subject is instructed to take the assigned treatment, and symptoms of allergies are recorded on a scale of 1 to 20, with higher scores indicating worse symptoms.
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- An automotive engineer is investigating two different types of metering devices for an electronic fuel injection system to determine whether they differ in their fuel mileage performance. The system is installed on 10 different cars, and a test is run with each metering device on each car. The data is provided below: Metering Device Car 1 2 1 17.6 16.8 2 19.4 20.0 3 18.2 17.6 4 17.1 16.4 5 15.3 16.0 6 15.9 15.9 7 16.3 16.5 8 18.0 18.4 9 17.3 16.4 10 19.1 20.1 Is there a significant difference between the means of the two metering devices? Use . Interpret the result in the context of the problem. An article in the journal Hazardous Waste and Hazardous Materials (Vol. 6, 1989) reported the results of an analysis of the weight of calcium in standard cement and cement doped with lead. Reduced levels of calcium would indicate that the hydration mechanism in the cement is blocked…2.Researchers studied selenium levels in beef raised in a low selenium region of the United States. The goal of the study was to compare selenium levels in the region-raised beef to selenium levels in cooked venison, squirrel, and beef from other regions of the United States. The data in the Excel file (se_level.xlsx or se_level.txt) are the selenium levels calculated on a dry weight basis in mg=100 g for a sample of 53 region-raised cattle 11.23 29.63 20.42 10.12 39.91 32.66 38.38 36.21 16.39 27.44 17.29 56.20 28.94 20.11 25.35 21.77 31.62 32.63 30.31 46.16 56.61 24.47 29.39 40.71 18.52 27.80 19.49 15.82 27.74 22.35 34.78 35.09 32.60 37.03 27.00 44.20 13.09 33.03 9.69 32.45 37.38 34.91 27.99 22.36 22.68 26.52 46.01 38.04 30.88 30.04 25.91 18.54 25.51 Please answer the following questions: Use these data to construct: A…2.Researchers studied selenium levels in beef raised in a low selenium region of the United States. The goal of the study was to compare selenium levels in the region-raised beef to selenium levels in cooked venison, squirrel, and beef from other regions of the United States. The data in the Excel file (se_level.xlsx or se_level.txt) are the selenium levels calculated on a dry weight basis in mg=100 g for a sample of 53 region-raised cattle 11.23 29.63 20.42 10.12 39.91 32.66 38.38 36.21 16.39 27.44 17.29 56.20 28.94 20.11 25.35 21.77 31.62 32.63 30.31 46.16 56.61 24.47 29.39 40.71 18.52 27.80 19.49 15.82 27.74 22.35 34.78 35.09 32.60 37.03 27.00 44.20 13.09 33.03 9.69 32.45 37.38 34.91 27.99 22.36 22.68 26.52 46.01 38.04 30.88 30.04 25.91 18.54 25.51 Please answer the following questions: Describe these data with…
- To determine a target audience for a new email package, a computer company surveyed a large random sample of potential customers, asking each whether he/she uses email on a regular basis. (The company considered "a regular basis" to be at least three times a week.) The data, as summarized in the contingency table below, were classified according to two variables: the age of the respondent ("under 18", "18-35", "36-54", "55+") and regularity of email use ("on a regular basis" or "not on a regular basis"). Each cell of the table contains three numbers: the first number is the observed cell frequency (fO); the second number is the expected cell frequency (fE) under the assumption that there is no dependence between age and regularity of email use and the third number is the following value.To determine a target audience for a new email package, a computer company surveyed a large random sample of potential customers, asking each whether he/she uses email on a regular basis. (The company considered "a regular basis" to be at least three times a week.) The data, as summarized in the contingency table below, were classified according to two variables: the age of the respondent ("under 18", "18-35", "36-54", "55+") and regularity of email use ("on a regular basis" or "not on a regular basis"). Each cell of the table contains three numbers: the first number is the observed cell frequency (fO); the second number is the expected cell frequency (fE) under the assumption that there is no dependence between age and regularity of email use and the third number is the following value. =−fOfE2fE−Observed cell frequencyExpected cell frequency2Expected cell frequencyThe director of marketing at Vanguard Corporation believes that sales of the company's Bright Side laundry detergent (S) are related to Vanguard's own advertising expenditures (A), as well as the combined advertising expenditures of its three biggest rival detergents (R).The marketing director collects 36 weekly observations on S, A, and R . Vanguard's marketing director is comfortable using parameter estimates that are statistically significant at the 10 percent level or better. Give the specific statistical tool that can be used to this problem.
- Is gender independent of education level? A random sample of 395 people were surveyed and each person was asked to report the highest education level they obtained. The data that resulted from the survey is summarized in the following table: High SchoolBachelorsMastersPh.d.Total Female 60 54 4641201 Male 40 44 5357194 Total 100 98 9998395 Question: Are gender and education level dependent at 5% level of significance? In other words, given the data collected above, is there a relationship between the gender of an individual and the level of education that they have obtained? A. Calculate the expected counts for each category and enter your results in the table below. Table of expected counts: High School Bachelors Masters Ph.D. Totals Female Male Totals B. Next, calculate the contribution…In the book Business Research Methods (5th ed.), Donald R. Cooper and C. William Emory discuss studying the relationship between on-the-job accidents and smoking. Cooper and Emory describe the study as follows: Suppose a manager implementing a smoke-free workplace policy is interested in whether smoking affects worker accidents. Since the company has complete reports of on-the-job accidents, she draws a sample of names of workers who were involved in accidents during the last year. A similar sample from among workers who had no reported accidents in the last year is drawn. She interviews members of both groups to determine if they are smokers or not. The sample results are given in the following table. On-the-Job Accident Smoker Yes No Row Total Heavy 12 5 17 Moderate 9 10 19 Nonsmoker 13 17 30 Column total 34 32 66 Expected counts are below observed counts Accident No Accident Total Heavy 12 5 17 8.76 8.24…