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1. Suppose that the odds in favor are 11 to 1 that a man will be bald by the time he is 60. State this as a probability. (Enter the probability as a fraction.)
P(a man is bald by 60)
2. What is the probability of obtaining exactly three tails in four flips of a coin, given that at least two are tails? (Enter the probability as a fraction.)
3. Poker is a common game in which players are dealt five cards from a deck of cards. It can be shown that there are 2,598,960 different possible poker hands. The winning hands (from highest to lowest) are shown in the table below. Find the requested probability. Use a calculator. (Show your answer to nine decimal places.)
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Capella University Stat Measurement for The Variable Questions
Please select the correct answer one for these multiple choice questions.
Question 1
...
Capella University Stat Measurement for The Variable Questions
Please select the correct answer one for these multiple choice questions.
Question 1
2 Points
What is the level of measurement for the variable: number of people in your statistics class?
ordinal
nominal
interval-ratio
none of the above
Question 2 2 Points What is the level of measurement for the variable: percentage of students who are first-generation college students at your school?
ordinal
nominal
interval-ratio
none of the above
Question 3 2 Points What is the level of measurement for the variable: name of each academic major offered in your college? ordinal nominal interval-ratio none of the above Question 4 2 Points What is the level of measurement for the variable: rating of the overall quality of a textbook, on a scale from excellent to poor?
ordinal
nominal
interval-ratio
none of the above
Question 5 2 Points What is the level of measurement for the variable: type of transportation a person takes to school (e.g., bus, walk, car)? ordinal nominal interval-ratio none of the above Question 6 2 Points What is the level of measurement for the variable: number of hours you study for a statistics exam?
ordinal
nominal
interval-ratio
none of the above
Question 7 2 Points What is the level of measurement for the variable: rating of the overall quality of your campus coffee shop, on a scale from excellent to poor? ordinal nominal interval-ratio none of the above Question 8 2 Points Is the interval-ratio for the number of people in your statistics class discrete or continuous? discrete continuous Question 9 2 Points Is the interval-ratio for percentage of students who are first-generation college students at your school discrete or continuous? discrete continuous Question 10 2 Points Is the interval-ratio for number of hours you study for a statistics exam discrete or continuous? discrete continuous
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Statistics Discussion
A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is ...
Statistics Discussion
A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is conducting research in order to update its fuel economy standards for the year 2030. Automobile manufacturers, and consumers, are highly interested in what the agency's findings and determinations will be as this will affect every vehicle in the United States. The federal government agency is very interested in the relationship between the weight of a vehicle and the vehicle's fuel economy (average miles per gallon (MPG)). Specifically, the agency is concerned that if the current trend of automobile manufacturers producing heavier new vehicles continues that its fuel economy targets will not be met. The agency's research department recently collected data for analysis in order to support the agency's upcoming discussion with the industry regarding its proposed 2030 fuel economy standards. The average MPG from a random sample of 750 vehicles was recently calculated by the agency. The research division also collected the vehicle weight of these 750 randomly sampled vehicles. The Vehicle Number, Type, Vehicle Weight, Average MPG, Fuel Tank Size (Gallons), Engine Size (Liters), and Meet or Not Meet Current Standards data were collected for these 750 vehicles. 1. Agency leadership is interested in analyzing the engine sizes of this sample of 750 vehicles. (Use the mean and standard deviation of the Engine Size (L) data. Also, if appropriate based upon your visual analysis of a histogram of the Engine Size (L) data, use the Normal distribution to answer this question.) ROUND TO TWO DECIMAL PLACES-Calculate the probability of randomly selecting a vehicle with an engine size less than 2.7 L.-Calculate the probability of randomly selecting a vehicle with an engine size greater than 3.9 L.-Calculate the probability of randomly selecting a vehicle with an engine between 3.1 L and 4.2 L.-Calculate the engine size that represents the 10th percentile of this sample.2. Agency leadership is very interested in trend analysis. Using the 750 randomly selected vehicles as their sample, data were collected to determine which vehicles currently meet or exceed fuel economy standards and which vehicles currently do not meet fuel economy standards. This information is found in the Meet or Not Meet Current Standards column. Agency leadership asks your team to construct a 95% One-Sample proportion confidence interval for the population proportion of all vehicles that meet current fuel economy standards. Assume that all necessary Central Limit Theorem conditions for a One-Proportion confidence interval have been met.-What is the 95% lower limit?-What is the 95% upper limit?-Using the 95% confidence interval, would it be plausible to conclude that the population proportion of vehicles that currently meet fuel economy standards is 90%?A. No, since 90% lies within the constructed confidence interval.B. Yes, since 90% lies within the constructed confidence interval.C. No, since 90% lies outside the constructed confidence interval.D. Yes, since 90% lies outside the constructed confidence interval.3. Agency leadership decides to run a One Proportion hypothesis test to determine if the proportion of all vehicles that meet or exceed current fuel economy standards is less than 90%. Assume that all necessary Central Limit Theorem conditions for a One-Proportion Z-test have been met.-What is the appropriate null hypothesis in this case? The proportion of all vehicles that meet or exceed current fuel economy standards is, less than, not equal to, greater than, or equal to, 90%.-What is the appropriate alternative hypothesis in this case? The proportion of all vehicles that meet or exceed current fuel economy standards is, less than, greater than, not equal to, or equal to, 90%.-What is the test statistic for this hypothesis test? The test statistic is-What is the p-value for this hypothesis test? The p-value is-What would you conclude based on an α=0.05 level?We, fail to reject or reject, the null hypothesis and, do not accept or accept, the alternative hypothesis since there,is not or is, sufficient evidence that the proportion of all vehicles that meet or exceed current fuel economy standards is, greater or less, than 90% due to the p-value being, greater or less, than the α level.-Explain the results of your hypothesis test. What does the p-value signify? Would you say the observed outcome was unusual? If so, how unusual was the outcome?4. Agency leadership decides to use the vehicle weight data from its random sample of 750 vehicles to estimate the mean vehicle weight of all passenger vehicles currently on the road. Construct a 95% One-Sample T confidence interval for the mean vehicle weight of all passenger vehicles currently on the road. Assume that all necessary Central Limit Theorem conditions for a One-Sample T confidence interval have been met.-What is the 95% lower limit?-What is the 95% upper limit?- Using the 95% confidence interval, would it be plausible to conclude that the mean vehicle weight of all passenger vehicles currently on the road is 2500 pounds?A. No, since 2500 lies within the constructed confidence intervalB. Yes, since 2500 lies outside the constructed confidence interval.C. Yes, since 2500 lies within the constructed confidence interval.D. No, since 2500 lies outside the constructed confidence interval.-Explain why the agency would construct a confidence interval instead of collecting vehicle weight information of all passenger vehicles currently on the road.5. Agency leadership decides to use the vehicle weight data from its random sample of 750 vehicles to estimate the mean vehicle weight of all passenger vehicles currently on the road. Construct a 90% One-Sample T confidence interval for the mean vehicle weight of all passenger vehicles currently on the road. Assume that all necessary Central Limit Theorem conditions for a One-Sample T confidence interval have been met.-What is the 90% lower limit?-What is the 90% upper limit?-Using the 90% confidence interval, would it be plausible to conclude that the mean vehicle weight of all passenger vehicles currently on the road is 2400 pounds?A. No, since 2400 lies outside the constructed confidence interval.B. Yes, since 2400 lies within the constructed confidence intervalC. Yes, since 2400 lies outside the constructed confidence interval.D. No, since 2400 lies within the constructed confidence interval.-Compare your 90% confidence interval to the 95% confidence interval, (2484.92, 2569.56). Explain which confidence interval is wider and why.6. Agency leadership decides to run a One Sample-T hypothesis test to determine if the mean vehicle weight of all passenger vehicles currently on the road is significantly different than 2600 pounds. Assume that all necessary Central Limit Theorem conditions for a One-Sample T-test have been met.-What is the appropriate null hypothesis in this case? The mean vehicle weight of all passenger vehicles currently on the road is, less than, greater than, or equal to, 2600 pounds.-What is the appropriate alternative hypothesis in this case? The mean vehicle weight of all passenger vehicles currently on the road is, greater than, not equal to, equal to, or less than, 2600 pounds.-What is the test statistic for this hypothesis test? The test statistic is-What is the p-value for this hypothesis test? The p-value is-What would you conclude based on an α=0.05 level? We, reject or fail to reject, the null hypothesis and, accept or do not accept, the alternative hypothesis since there, is or is not, sufficient evidence that the mean vehicle weight of all passenger vehicles currently on the road is, not equal to or equal to, 2600 pounds due to the p-value being, greater or less, than the α level.-Based upon your hypothesis test, was the observed outcome unusual? If so, how unusual was the outcome?
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Most Popular Content
Which of the following functions is represented by the graph below?, algebra homework help
Which of the following functions is represented by the graph below?If th ...
Which of the following functions is represented by the graph below?, algebra homework help
Which of the following functions is represented by the graph below?If the graph doesn't upload through the site I have it online here http://puu.sh/pveNO/d72773ffd0.jpgA. y = x squared -12x + 44B. y = x squared - 12x + 28C. y = -x squared + 12x - 44D. y = -x squared + 12x - 28
Capella University Stat Measurement for The Variable Questions
Please select the correct answer one for these multiple choice questions.
Question 1
...
Capella University Stat Measurement for The Variable Questions
Please select the correct answer one for these multiple choice questions.
Question 1
2 Points
What is the level of measurement for the variable: number of people in your statistics class?
ordinal
nominal
interval-ratio
none of the above
Question 2 2 Points What is the level of measurement for the variable: percentage of students who are first-generation college students at your school?
ordinal
nominal
interval-ratio
none of the above
Question 3 2 Points What is the level of measurement for the variable: name of each academic major offered in your college? ordinal nominal interval-ratio none of the above Question 4 2 Points What is the level of measurement for the variable: rating of the overall quality of a textbook, on a scale from excellent to poor?
ordinal
nominal
interval-ratio
none of the above
Question 5 2 Points What is the level of measurement for the variable: type of transportation a person takes to school (e.g., bus, walk, car)? ordinal nominal interval-ratio none of the above Question 6 2 Points What is the level of measurement for the variable: number of hours you study for a statistics exam?
ordinal
nominal
interval-ratio
none of the above
Question 7 2 Points What is the level of measurement for the variable: rating of the overall quality of your campus coffee shop, on a scale from excellent to poor? ordinal nominal interval-ratio none of the above Question 8 2 Points Is the interval-ratio for the number of people in your statistics class discrete or continuous? discrete continuous Question 9 2 Points Is the interval-ratio for percentage of students who are first-generation college students at your school discrete or continuous? discrete continuous Question 10 2 Points Is the interval-ratio for number of hours you study for a statistics exam discrete or continuous? discrete continuous
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All the information and instructions are in the file I provide. I think 10 hours should be enough time to do this workshee ...
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All the information and instructions are in the file I provide. I think 10 hours should be enough time to do this worksheet however if you can't finish all of it I'll complete the rest.
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Statistics Discussion
A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is ...
Statistics Discussion
A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is conducting research in order to update its fuel economy standards for the year 2030. Automobile manufacturers, and consumers, are highly interested in what the agency's findings and determinations will be as this will affect every vehicle in the United States. The federal government agency is very interested in the relationship between the weight of a vehicle and the vehicle's fuel economy (average miles per gallon (MPG)). Specifically, the agency is concerned that if the current trend of automobile manufacturers producing heavier new vehicles continues that its fuel economy targets will not be met. The agency's research department recently collected data for analysis in order to support the agency's upcoming discussion with the industry regarding its proposed 2030 fuel economy standards. The average MPG from a random sample of 750 vehicles was recently calculated by the agency. The research division also collected the vehicle weight of these 750 randomly sampled vehicles. The Vehicle Number, Type, Vehicle Weight, Average MPG, Fuel Tank Size (Gallons), Engine Size (Liters), and Meet or Not Meet Current Standards data were collected for these 750 vehicles. 1. Agency leadership is interested in analyzing the engine sizes of this sample of 750 vehicles. (Use the mean and standard deviation of the Engine Size (L) data. Also, if appropriate based upon your visual analysis of a histogram of the Engine Size (L) data, use the Normal distribution to answer this question.) ROUND TO TWO DECIMAL PLACES-Calculate the probability of randomly selecting a vehicle with an engine size less than 2.7 L.-Calculate the probability of randomly selecting a vehicle with an engine size greater than 3.9 L.-Calculate the probability of randomly selecting a vehicle with an engine between 3.1 L and 4.2 L.-Calculate the engine size that represents the 10th percentile of this sample.2. Agency leadership is very interested in trend analysis. Using the 750 randomly selected vehicles as their sample, data were collected to determine which vehicles currently meet or exceed fuel economy standards and which vehicles currently do not meet fuel economy standards. This information is found in the Meet or Not Meet Current Standards column. Agency leadership asks your team to construct a 95% One-Sample proportion confidence interval for the population proportion of all vehicles that meet current fuel economy standards. Assume that all necessary Central Limit Theorem conditions for a One-Proportion confidence interval have been met.-What is the 95% lower limit?-What is the 95% upper limit?-Using the 95% confidence interval, would it be plausible to conclude that the population proportion of vehicles that currently meet fuel economy standards is 90%?A. No, since 90% lies within the constructed confidence interval.B. Yes, since 90% lies within the constructed confidence interval.C. No, since 90% lies outside the constructed confidence interval.D. Yes, since 90% lies outside the constructed confidence interval.3. Agency leadership decides to run a One Proportion hypothesis test to determine if the proportion of all vehicles that meet or exceed current fuel economy standards is less than 90%. Assume that all necessary Central Limit Theorem conditions for a One-Proportion Z-test have been met.-What is the appropriate null hypothesis in this case? The proportion of all vehicles that meet or exceed current fuel economy standards is, less than, not equal to, greater than, or equal to, 90%.-What is the appropriate alternative hypothesis in this case? The proportion of all vehicles that meet or exceed current fuel economy standards is, less than, greater than, not equal to, or equal to, 90%.-What is the test statistic for this hypothesis test? The test statistic is-What is the p-value for this hypothesis test? The p-value is-What would you conclude based on an α=0.05 level?We, fail to reject or reject, the null hypothesis and, do not accept or accept, the alternative hypothesis since there,is not or is, sufficient evidence that the proportion of all vehicles that meet or exceed current fuel economy standards is, greater or less, than 90% due to the p-value being, greater or less, than the α level.-Explain the results of your hypothesis test. What does the p-value signify? Would you say the observed outcome was unusual? If so, how unusual was the outcome?4. Agency leadership decides to use the vehicle weight data from its random sample of 750 vehicles to estimate the mean vehicle weight of all passenger vehicles currently on the road. Construct a 95% One-Sample T confidence interval for the mean vehicle weight of all passenger vehicles currently on the road. Assume that all necessary Central Limit Theorem conditions for a One-Sample T confidence interval have been met.-What is the 95% lower limit?-What is the 95% upper limit?- Using the 95% confidence interval, would it be plausible to conclude that the mean vehicle weight of all passenger vehicles currently on the road is 2500 pounds?A. No, since 2500 lies within the constructed confidence intervalB. Yes, since 2500 lies outside the constructed confidence interval.C. Yes, since 2500 lies within the constructed confidence interval.D. No, since 2500 lies outside the constructed confidence interval.-Explain why the agency would construct a confidence interval instead of collecting vehicle weight information of all passenger vehicles currently on the road.5. Agency leadership decides to use the vehicle weight data from its random sample of 750 vehicles to estimate the mean vehicle weight of all passenger vehicles currently on the road. Construct a 90% One-Sample T confidence interval for the mean vehicle weight of all passenger vehicles currently on the road. Assume that all necessary Central Limit Theorem conditions for a One-Sample T confidence interval have been met.-What is the 90% lower limit?-What is the 90% upper limit?-Using the 90% confidence interval, would it be plausible to conclude that the mean vehicle weight of all passenger vehicles currently on the road is 2400 pounds?A. No, since 2400 lies outside the constructed confidence interval.B. Yes, since 2400 lies within the constructed confidence intervalC. Yes, since 2400 lies outside the constructed confidence interval.D. No, since 2400 lies within the constructed confidence interval.-Compare your 90% confidence interval to the 95% confidence interval, (2484.92, 2569.56). Explain which confidence interval is wider and why.6. Agency leadership decides to run a One Sample-T hypothesis test to determine if the mean vehicle weight of all passenger vehicles currently on the road is significantly different than 2600 pounds. Assume that all necessary Central Limit Theorem conditions for a One-Sample T-test have been met.-What is the appropriate null hypothesis in this case? The mean vehicle weight of all passenger vehicles currently on the road is, less than, greater than, or equal to, 2600 pounds.-What is the appropriate alternative hypothesis in this case? The mean vehicle weight of all passenger vehicles currently on the road is, greater than, not equal to, equal to, or less than, 2600 pounds.-What is the test statistic for this hypothesis test? The test statistic is-What is the p-value for this hypothesis test? The p-value is-What would you conclude based on an α=0.05 level? We, reject or fail to reject, the null hypothesis and, accept or do not accept, the alternative hypothesis since there, is or is not, sufficient evidence that the mean vehicle weight of all passenger vehicles currently on the road is, not equal to or equal to, 2600 pounds due to the p-value being, greater or less, than the α level.-Based upon your hypothesis test, was the observed outcome unusual? If so, how unusual was the outcome?
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