Exam 18: A Roadmap for Analyzing Data

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It was believed that the probability of being hit by lightning is the same during the course of a Thunderstorm.Which of the following distributions would you use to determine the probability Of being hit by a lightning during the first half of a thunderstorm?

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The opinions (classified as "for", "neutral" or "against")of a sample of 200 people broken down by gender about the latest congressional plan to eliminate anti-trust exemptions for professional baseball.You can present this information using a scatter plot.

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A certain type of new business succeeds 60% of the time.Suppose that 3 such businesses open (where they do not compete with each other, so it is reasonable to believe that their relative Successes would be independent).Which of the following distributions would you use to Determine the probability that all of them will fail?

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Suppose the probability of a car accident taking place anywhere on a stretch of a 20 miles Highway is the same.Which of the following distributions would you use to determine the Probability that a car accident will occur somewhere between the 5-mile and 15-mile posts of the Highway?

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The director of admissions at a state college is interested in seeing if admissions status (admitted, Waiting list, denied admission)at his college is related to the type of community (urban, rural, Suburban)in which an applicant resides.Which of the following tests will be the most Appropriate?

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SCENARIO 18-2 SCENARIO 18-2   - -SCENARIO 18-2   -

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SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below. SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for HP? The various residual plots are as shown below. SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for HP? A Roadmap for Analyzing Data 18-63 SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for HP? SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for HP? SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for HP? 18-64 A Roadmap for Analyzing Data SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for HP? SCENARIO 18-9 What are the factors that determine the acceleration time (in sec.)from 0 to 60 miles per hour of a car? Data on the following variables for 171 different vehicle models were collected: Accel Time: Acceleration time in sec. Cargo Vol: Cargo volume in cu.ft. HP: Horsepower MPG: Miles per gallon SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan are both 0 Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan are both 0 The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   The various residual plots are as shown below.    A Roadmap for Analyzing Data 18-63        18-64 A Roadmap for Analyzing Data     -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for HP? -Referring to Scenario 18-9, what is the correct interpretation for the estimated coefficient for HP?

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The quality control manager of a candy plant is inspecting a batch of chocolate chip bags.When The production process is in control, the average number of blue chocolate chips per bag is 6.0. Suppose that the probability of a blue chocolate chip in a bag is constant across bags and the Number of blue chocolate chips in one bag is independent of the number in any other bag.Which Of the following distributions would you use to figure out the probability that any particular bag Being inspected has 4.0 blue chocolate chips?

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SCENARIO 18-2 SCENARIO 18-2   -Referring to Scenario 18-2, what is the 90% confidence interval for the expected change in Heating costs as a result of a 1 degree Fahrenheit change in the daily minimum outside Temperature using Model 1?  -Referring to Scenario 18-2, what is the 90% confidence interval for the expected change in Heating costs as a result of a 1 degree Fahrenheit change in the daily minimum outside Temperature using Model 1? SCENARIO 18-2   -Referring to Scenario 18-2, what is the 90% confidence interval for the expected change in Heating costs as a result of a 1 degree Fahrenheit change in the daily minimum outside Temperature using Model 1?

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SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below: SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below:   -Referring to Scenario 18-1, which of the following values for the level of significance is the Smallest for which every explanatory variable is significant individually? -Referring to Scenario 18-1, which of the following values for the level of significance is the Smallest for which every explanatory variable is significant individually?

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A wheel spinning game is played with a special wheel with 24 equal segments that determine the Dollar values of a single spin.Which of the following distributions can best be used to compute The probability of winning a specific dollar value in a single spin?

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A political pollster randomly selects a sample of 100 voters each day for 8 successive days and Asks how many will vote for the incumbent.The pollster wishes to see if the percentage favoring The incumbent candidate is too erratic.Which of the following would be the most appropriate Analysis to perform?

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(True/False)
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A survey was conducted to determine how people rated the quality of programming available on television.Respondents were asked to rate the overall quality from 0 (no quality at all)to 100 (extremely good quality).An cumulative percentage polygon (ogive)can be used to present this information.

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SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below: SCENARIO 18-1 A real estate builder wishes to determine how house size (House)is influenced by family income (Income), family size (Size), and education of the head of household (School).House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years.The builder randomly selected 50 families and ran the multiple regression.Microsoft Excel output is provided below:   -Referring to Scenario 18-1, at the 0.01 level of significance, what conclusion should the builder Draw regarding the inclusion of School in the regression model? -Referring to Scenario 18-1, at the 0.01 level of significance, what conclusion should the builder Draw regarding the inclusion of School in the regression model?

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(True/False)
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A physician and president of a Tampa Health Maintenance Organization (HMO)are attempting To show the benefits of managed health care to an insurance company.The physician believes That certain types of doctors are more cost-effective than others.To investigate this, the president Obtained independent random samples of 20 HMO physicians from each of 4 primary specialties - General Practice (GP), Internal Medicine (IM), Pediatrics (PED), and Family Physicians (FP)- And recorded the total charges per member per month for each.A second variable which the President believes influences total charges per member per month is whether the doctor is a Foreign or USA medical school graduate.To investigate this, the president also collected data on 20 foreign medical school graduates in each of the 4 primary specialty types described above.So Information on charges for 40 doctors (20 foreign and 20 USA medical school graduates)was obtained for each of the 4 specialties.The president has already found out that specialty types And origin of the medical degree do not interact to affect the charges.He has also found out Special types do have an impact on average charges.Which of the following tests will be the Most appropriate to find out which primary specialty has the highest charges?

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Data on the amount of money made in a year by 1000 families in a small town were collected. You want to know the difference in the amount of money made in that year by the middle 50% of The 1,000 families.Which of the following would you compute?

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A Paso Robles wine producer wanted to forecast the cases of Merlot wine sold.The number of Cases of merlot wine sold in a 28-year period was collected.Which of the following would be The most appropriate analysis to perform?

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An investor wanted to forecast the price of a certain stock.He collected the mean daily price for The stock over the past 10 years.Which of the following would be the most appropriate analysis To perform?

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