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MATH302 Week 8 Test
1. Question: A large department store is curious about what sections of the store make the most sales. The manager has data from ten years prior that show 30% of sales come from Clothing, 25% Home Appliances, 18% Housewares, 13% Cosmetics, 12% Jewelry, and 2% Other. In a random sample of 550 current sales, 188 came from Clothing, 153 Home Appliances, 83 Housewares, 54 Cosmetics, 61 Jewelry, and 11 Other. At α=0.10, can the manager conclude that the distribution of sales among the departments ha...
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- • 27 pages •
1. Question: A large department store is curious about what sections of the store make the most sales. The manager has data from ten years prior that show 30% of sales come from Clothing, 25% Home Appliances, 18% Housewares, 13% Cosmetics, 12% Jewelry, and 2% Other. In a random sample of 550 current sales, 188 came from Clothing, 153 Home Appliances, 83 Housewares, 54 Cosmetics, 61 Jewelry, and 11 Other. At α=0.10, can the manager conclude that the distribution of sales among the departments ha...
MATH302 Week 8 Test 8 Critique
MATH302 Week 8 Test 8 Critique
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- • 1 pages •
MATH302 Week 8 Test 8 Critique
MATH302 Week 8 Knowledge Check Homework Practice Questions
MATH302 Week 8 Knowledge Check Homework Practice Questions
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MATH302 Week 8 Knowledge Check Homework Practice Questions
Math302 Week 8 Final Project
Math302 Week 8 Final Project
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Math302 Week 8 Final Project
MATH302 Week 8 Discussion; How Will You Use Statistics
MATH302 Week 8 Discussion; How Will You Use Statistics
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MATH302 Week 8 Discussion; How Will You Use Statistics
MATH302 Week 7 Test
1. Question: The least squares regression line for a data set is yˆ=5+0.3x and the standard deviation of the residuals is 0.4. Does a case with the values x = 3.3, y = 7.2 qualify as an outlier? 2. Question: The least squares regression line for a data set is yˆ=5+0.3x and the standard deviation of the residuals is 0.52. Does a case with the values x = -1.59, y = 5.78 qualify as an outlier? 3. Question: The following data represent the weight of a child riding a bike and the rolling distance...
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- • 47 pages •
1. Question: The least squares regression line for a data set is yˆ=5+0.3x and the standard deviation of the residuals is 0.4. Does a case with the values x = 3.3, y = 7.2 qualify as an outlier? 2. Question: The least squares regression line for a data set is yˆ=5+0.3x and the standard deviation of the residuals is 0.52. Does a case with the values x = -1.59, y = 5.78 qualify as an outlier? 3. Question: The following data represent the weight of a child riding a bike and the rolling distance...
MATH302 Week 7 Test 7 Critique
MATH302 Week 7 Test 7 Critique
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- • 1 pages •
MATH302 Week 7 Test 7 Critique
MATH302 Week 7 Knowledge Check Homework Practice Questions
1. Question: A vacation resort rents SCUBA equipment to certified divers. The resort charges an up-front fee of $25 and another fee of $12.50 an hour. What is the dependent variable? 2. Question: Which of the following equations are linear? 3. Question: You are thinking about opening up a Starbucks in your area but what to know if it is a good investment. How much money do Starbucks actually make in a year? 4. Question: You move out into the country and you notice every Spring there are more ...
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- • 38 pages •
1. Question: A vacation resort rents SCUBA equipment to certified divers. The resort charges an up-front fee of $25 and another fee of $12.50 an hour. What is the dependent variable? 2. Question: Which of the following equations are linear? 3. Question: You are thinking about opening up a Starbucks in your area but what to know if it is a good investment. How much money do Starbucks actually make in a year? 4. Question: You move out into the country and you notice every Spring there are more ...
MATH302 Week 7 Discussion; Regression and Correlation
MATH302 Week 7 Discussion; Regression and Correlation
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MATH302 Week 7 Discussion; Regression and Correlation
MATH302 Week 6 Test
1. Question: A manager wishes to see if the time (in minutes) it takes for their workers to complete a certain task is faster if they are wearing earbuds. A random sample of 20 workers' times were collected before and after wearing earbuds. Test the claim that the time to complete the task will be faster, i.e. meaning has production increased, at a significance level of α = 0.01 For the context of this problem, µD = µbefore−µafter where the first data set represents before earbuds and the...
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- • 24 pages •
1. Question: A manager wishes to see if the time (in minutes) it takes for their workers to complete a certain task is faster if they are wearing earbuds. A random sample of 20 workers' times were collected before and after wearing earbuds. Test the claim that the time to complete the task will be faster, i.e. meaning has production increased, at a significance level of α = 0.01 For the context of this problem, µD = µbefore−µafter where the first data set represents before earbuds and the...
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