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Explanation & Answer
(16a^8
b^4)¼
When there's a whole power of powers, they gets multiplied, then
= (16¼ a^8*¼ b^4*¼)
Now we can write 16 = 2^4, then
= (2^4*¼ a^8*¼ b^4*¼)
Now
= (2 a^2 b)
Hence
(16a^8 b^4)¼ = (2 a^2 b)
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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.) 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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? 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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. 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STAT 3215 Rasmussen College Salary Distributions of Jobs in Minnesota Worksheet
CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.Instr ...
STAT 3215 Rasmussen College Salary Distributions of Jobs in Minnesota Worksheet
CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobIn prior engagements, you have already explained to your client about the basic statistics and discussed the importance of constructing confidence intervals for the population mean. Your client says that he remembers a little bit about hypothesis testing, but he is a little fuzzy. He asks you to give him the full explanation of all steps in a hypothesis testing and wants your conclusion about a claim that the average salary for all jobs in the state of Minnesota is less than $74,500 and a second claim that the average salary for all jobs in the state of Minnesota is greater than $70,500.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.Grading RubricFFCBA01234Not SubmittedNo PassCompetenceProficiencyMasteryNot SubmittedDid not correctly solve a majority of the problems or at least one problem left blank.Correctly solved a majority of the problems.Correctly solved almost all the problems.All problems are solved correctly.Not SubmittedVery few steps are provided to explain how to solve the problem OR the steps provided have several errors.Fairly complete and detailed steps are provided to explain how to solve the problem OR the steps provided have some errors.Mostly complete and detailed steps are provided to explain how to solve the problem.Complete and detailed steps are provided to explain how to solve the problem.Not SubmittedExplanations generally lack a basic understanding of the statistical concepts or lack of proper terminology.Explanations demonstrate a basic understanding of most of the statistical concepts and terminology, but some explanations may be incomplete or incorrect.Explanations demonstrate a proficient understanding of most of the statistical concepts and terminology, but with small errors.Explanations demonstrate a mastery of understanding of the statistical concepts and terminology.Not SubmittedThe majority of variables, equations, and expressions are not properly formatted.The majority of variables, equations, and expressions are properly formatted.Almost all variables, equations, and expressions are properly formatted.All variables, equations, and expressions are properly formatted.
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Statistics Done
1. The table below features three forecasting models used on the same set of data. Based solely on the information in this ...
Statistics Done
1. The table below features three forecasting models used on the same set of data. Based solely on the information in this output, which of the ...
10 pages
Sample 100 And 400.edited
For this discussion, I have chosen Age as my quantitative variable that I will base all calculations. The original sample ...
Sample 100 And 400.edited
For this discussion, I have chosen Age as my quantitative variable that I will base all calculations. The original sample size of the variable "Age" ...
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?
STAT 3215 Rasmussen College Salary Distributions of Jobs in Minnesota Worksheet
CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.Instr ...
STAT 3215 Rasmussen College Salary Distributions of Jobs in Minnesota Worksheet
CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobIn prior engagements, you have already explained to your client about the basic statistics and discussed the importance of constructing confidence intervals for the population mean. Your client says that he remembers a little bit about hypothesis testing, but he is a little fuzzy. He asks you to give him the full explanation of all steps in a hypothesis testing and wants your conclusion about a claim that the average salary for all jobs in the state of Minnesota is less than $74,500 and a second claim that the average salary for all jobs in the state of Minnesota is greater than $70,500.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.Grading RubricFFCBA01234Not SubmittedNo PassCompetenceProficiencyMasteryNot SubmittedDid not correctly solve a majority of the problems or at least one problem left blank.Correctly solved a majority of the problems.Correctly solved almost all the problems.All problems are solved correctly.Not SubmittedVery few steps are provided to explain how to solve the problem OR the steps provided have several errors.Fairly complete and detailed steps are provided to explain how to solve the problem OR the steps provided have some errors.Mostly complete and detailed steps are provided to explain how to solve the problem.Complete and detailed steps are provided to explain how to solve the problem.Not SubmittedExplanations generally lack a basic understanding of the statistical concepts or lack of proper terminology.Explanations demonstrate a basic understanding of most of the statistical concepts and terminology, but some explanations may be incomplete or incorrect.Explanations demonstrate a proficient understanding of most of the statistical concepts and terminology, but with small errors.Explanations demonstrate a mastery of understanding of the statistical concepts and terminology.Not SubmittedThe majority of variables, equations, and expressions are not properly formatted.The majority of variables, equations, and expressions are properly formatted.Almost all variables, equations, and expressions are properly formatted.All variables, equations, and expressions are properly formatted.
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