The data collected in a research study well either support or refute the -that the study is designed to tes OA. Analysis OB. Hypothesis OC. Operational definition OD. Statistics
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Q: T. Deetlermine thie test stathstic, p-value, Bresult of Thiis hypothesis 2
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A: Given : n = 10 Data: 16,18,10,8,12,15,19,17,16,7
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- Arianna Estefan manages Salmon Falls Park, which has two flagship roller coasters, the Flyer and the Destroyer. When Arianna walks around the park during hours of operation, she notices that there are fewer people waiting in line for the Flyer than for the Destroyer. Since both roller coasters have similar capacities and similar run times, both roller coasters should have about the same number of riders. Based on the anecdotal evidence, Arianna claims that the population mean number of riders per hour on the Flyer is less than the population mean number of riders per hour on the Destroyer. Arianna reviews data collected in the past and assumes that the population standard deviation is 48.29 for the Flyer and 51.86 for the Destroyer. Arianna randomly selects hours during which the attendant of each ride counts the number of riders. The sampling occurs over the course of several weeks. The results are provided in the table shown below. Assuming the conditions needed for the hypothesis…Arianna Estefan manages Salmon Falls Park, which has two flagship roller coasters, the Flyer and the Destroyer. When Arianna walks around the park during hours of operation, she notices that there are fewer people waiting in line for the Flyer than for the Destroyer. Since both roller coasters have similar capacities and similar run times, both roller coasters should have about the same number of riders. Based on the anecdotal evidence, Arianna claims that the population mean number of riders per hour on the Flyer is less than the population mean number of riders per hour on the Destroyer. Arianna reviews data collected in the past and assumes that the population standard deviation is 48.29 for the Flyer and 51.86 for the Destroyer. Arianna randomly selects hours during which the attendant of each ride counts the number of riders. The sampling occurs over the course of several weeks. The results are provided in the table shown below. Assuming the conditions needed for the hypothesis…In 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). The tables report the number of uninsured (in thousands) by sex, by age, and by household income. Is being insured or not dependent on gender? Fill in the degrees of freedom and p-value in the output below and draw a clear conclusion indicating which gender is more at risk of not being insured if there is a significant difference.
- In 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). The tables report the number of uninsured (in thousands) by sex, by age, and by household income Is being insured or not dependent on the age groups identified in the analysis? Fill in the degrees of freedom and p-value in the output below and draw a clear conclusion indicating which age-groups are more at risk of not being insured if there is a significant relationshipIn 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). The tables report the number of uninsured (in thousands) by sex, by age, and by household income Is being insured or not dependent on the income groups identified in the analysis? Fill in the degrees of freedom and p-value in the output below and draw a clear conclusion indicating which income-groups are more at risk of not being insured if there is a significant relationship.Identify your hypothesis regarding the amount of time the two groups will stayed balance , do you believe they will stay balanced for an equal amount of time or do you think they will be different.
- A comprehensive survey released by a college reports that the true proportion of all students at the college who use drugs is 0.3. You survey 100 students in your dorm and record that the proportion of students who use drugs is 0.15. The proportion of all students at this college who use drugs is a ____________________ and the proportion of students who use drugs in your dorm is a ___________A 2017 study of over half a million eighth through 12th graders found that the number exhibiting high levels of depressive symptoms increased by 33 percent between 2010 and 2015. (a) What is the population of this study? (b) What is the sample of this study? Be clear to mark part (a) and (b) in your solution.A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1,000s) Annual Revenue ($ millions)11.5 118 10.0 135 9.0 100 5.5 37 3.3 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677 Total 4 8925.2 Coefficients Standard Error t Stat P-value Intercept -19.12490108 23.1658578…
- Describe about the three positive relationships of Scatterplots?A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1000s) Annual Revenue ($ millions)11.5 118 10.0 135 9.0 100 5.5 37 3.3 32 Part of the Excel-generated Simple Linear Regression output is provided below: Regression Statistics Multiple R 0.940331133 R Square 0.884222639 Adjusted R Square 0.845630185 Standard Error 18.55923942…A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1000s) Annual Revenue ($ millions)11.5. 11810.0. 1359.0. 1005.5. 373.3. 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677 Total 4 8925.2…
