Description
To decrease the margin of error without decreasing the level of confidence, the sample size needs to be_____.
1. increased
2. decreased
3. kept the same
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B decreased
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UMGC Agency Leadership Worksheet
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. 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The scatterplot indicates there is a positive, weak, linear relationship between Vehicle Weight and Average MPG.C. The scatterplot indicates there is a negative, strong, linear relationship between Vehicle Weight and Average MPG D. The scatterplot indicates there is a negative, weak, linear relationship between Vehicle Weight and Average MPG.E.The scatterplot indicates there is no relationship between Vehicle Weight and Average MPG.1.1. Include the scatterplot image as part of your answer. Save the image as a .jpg or .png file, then click "Show Work" and use the "Insert Image" button to upload and save your scatterplot.1.2. Based upon your visual analysis of the scatterplot, is simple linear regression appropriate? Why or why not?2. What is the correlation coefficient between Vehicle Weight and Average MPG? (Round to two decimal places)2.1. Interpret the correlation coefficient in this context.3. Using your simple linear regression model, what is the value for the slope for this regression model? (Round to decimal places)3.1. Interpret the slope in this context.4. Using your simple linear regression model, what is the value for the y-intercept for this regression model? (Round to two decimal places)4.1. Interpret the y-intercept in this context.5. Using your simple linear regression model, for each one pound increase in vehicle weight, how much would one predict the vehicle's average fuel economy to decrease? (Round to three decimal places)5.1. Using your simple linear regression model, what is the predicted Average MPG of a vehicle when the Vehicle Weight is 2700 pounds (round the slope to 3 decimal places and y-intercept to 2 decimal places)?5.2. Based upon your simple linear regression, should the agency's leadership be concerned that if new vehicles continue to be produced with heavier weights that its goal of better fuel economy will be jeopardized?6. 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MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Paper
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company� ...
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Paper
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. The average cost per square foot of home sales based on this advertisement is $280. The salesperson claims that the average cost per square foot in the Pacific region is less than $280. In other words, he claims that the newly designed advertisement would result in higher average cost per square foot in the Pacific Region. He wants you to make sure he can make that statement before approving the use of the advertisement. In order to test his claim, you will generate a random sample size of 750 using data for the Pacific region and use this data to perform a hypothesis test. PromptGenerate a sample of size 750 using data for the Pacific region. Then, design a hypothesis test and interpret the results using significance level α = .05. You will work with this sample in the assignment. Briefly describe how you generated your random sample.Use the House Listing Price by Region document and the National Summary Statistics and Graphs House Listing Price by Region documents to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment TemplateHypothesis Test Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.Define your population parameter.Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.Specify the name of the test you will use.Identify whether it is a left-tailed, right-tailed, or two-tailed test.Identify your significance level.Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.Provide the descriptive statistics (sample size, mean, median, and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape, center, and spread of your sample.Determine whether the conditions to perform your identified test have been met.Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.
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STA 3215 UMTC Analyze of Patients Age Presentation
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STA 3215 UMTC Analyze of Patients Age Presentation
You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager, and together you work to use statistical analysis to look more closely at the ages of these patients.You do some research and put together a spreadsheet of the data that contains the following informationClient numberInfection disease statusAge of the patientYou are to put together a PowerPoint presentation that explains the analysis of your findings which you will submit to your manager. The presentation should contain all components of your findings. For review, the components of the report should include:Brief overview of the scenario and variables in the data setDiscussion, calculation, and interpretation of the mean, median, mode, range, standard deviation, and varianceDiscussion, construction, and interpretation of the 95% confidence intervalExplanation of the full hypothesis testConclusionThe calculations should be performed in your spreadsheet that you will also submit to your manager. You can find additional information on what to add to your PowerPoint presentation in this Word document. Use the questions in the worksheet as your guide for the contents of your presentation.For your final deliverable, submit your PowerPoint presentation and the Excel workbook showing your work. Do not submit your Word document.
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Updated Answers Deliverable 04 Worksheet 2
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RSA is the most widely used public key cryptosystem. In this discussion, you will apply RSA to post and read messages. For ...
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A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is ...
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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. 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The scatterplot indicates there is a positive, weak, linear relationship between Vehicle Weight and Average MPG.C. The scatterplot indicates there is a negative, strong, linear relationship between Vehicle Weight and Average MPG D. The scatterplot indicates there is a negative, weak, linear relationship between Vehicle Weight and Average MPG.E.The scatterplot indicates there is no relationship between Vehicle Weight and Average MPG.1.1. Include the scatterplot image as part of your answer. Save the image as a .jpg or .png file, then click "Show Work" and use the "Insert Image" button to upload and save your scatterplot.1.2. Based upon your visual analysis of the scatterplot, is simple linear regression appropriate? Why or why not?2. What is the correlation coefficient between Vehicle Weight and Average MPG? (Round to two decimal places)2.1. Interpret the correlation coefficient in this context.3. Using your simple linear regression model, what is the value for the slope for this regression model? (Round to decimal places)3.1. Interpret the slope in this context.4. Using your simple linear regression model, what is the value for the y-intercept for this regression model? (Round to two decimal places)4.1. Interpret the y-intercept in this context.5. Using your simple linear regression model, for each one pound increase in vehicle weight, how much would one predict the vehicle's average fuel economy to decrease? (Round to three decimal places)5.1. Using your simple linear regression model, what is the predicted Average MPG of a vehicle when the Vehicle Weight is 2700 pounds (round the slope to 3 decimal places and y-intercept to 2 decimal places)?5.2. Based upon your simple linear regression, should the agency's leadership be concerned that if new vehicles continue to be produced with heavier weights that its goal of better fuel economy will be jeopardized?6. Another facet of the weight of the car is the question of whether or not weight differs for cars that meet standards and those that do not. Create a side-by-side boxplot of the weight of cars, distinguishing between cars that meet standards and those that do not.Include the side-by-side boxplot image as part of your answer. Save the image as a .jpg or .png file, then click "Show Work" and use the "Insert Image" button to upload and save your boxplot.6.1. Describe and interpret the shapes of the two boxplots.7. One typically expects that e.g. trucks have a different fuel efficiency than passenger cars. That could be tested by a two-sample t-test, but we do not have two types of cars, but more than two. Our two-sample test won't help to compare passenger cars, SUVs, and trucks. As such, conduct an ANOVA F-test to investigate if the average fuel efficiency of cars differs between the three types of cars.Now run the One Way ANOVA. What is the value of the test statistic of this ANOVA test?Test statistic = (Round to two decimal places)7.1. What are the degrees of freedom of the test statistic of the ANOVA test?Degrees of Freedom (Total)= (Type a whole number)7.2. What is the P-value of the test statistic of the ANOVA test?P-value= (Round to three decimal places)7.3. Describe in your own words what you conclude from the outcome of this ANOVA test. Is it in line with the expectations you had?8. One typically expects that e.g. trucks have a different fuel efficiency than passenger cars. That could be tested by a two-sample t-test, but we do not have two types of cars, but more than two. Our two-sample test won't help to compare passenger cars, SUVs, and trucks.If we wish to investigate if the average fuel efficiency of cars differs between the three types of cars, what type of analysis do we need?A.Two-sample t-testB.χ2 test for independenceC. ANOVA F-testD. χ2 test for homogeneity8.1. What is the null hypothesis of the test that there is no difference in fuel efficiency between the types of cars?A. All medians of fuel efficiency are equal for the three types of carsB. All means of fuel efficiency are equal for the three types of carsC. At least one means of fuel efficiency differs from the means of the other two types of carD. All three means of fuel efficiency are different for the three types of cars8.2. What is the alternative hypothesis of the test that there is no difference in fuel efficiency between the types of cars?A. All means of fuel efficiency are equal for the three types of carsB. All medians of fuel efficiency are equal for the three types of carsC. All three means of fuel efficiency are different for the three types of carsD. At least one means of fuel efficiency differs from the means of the other two types of cars8.3. Create side-by-side boxplots in StatCrunch. 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MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Paper
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company� ...
MAT 240 SNHU Hypothesis Testing for Regional Real Estate Company Paper
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. The average cost per square foot of home sales based on this advertisement is $280. The salesperson claims that the average cost per square foot in the Pacific region is less than $280. In other words, he claims that the newly designed advertisement would result in higher average cost per square foot in the Pacific Region. He wants you to make sure he can make that statement before approving the use of the advertisement. In order to test his claim, you will generate a random sample size of 750 using data for the Pacific region and use this data to perform a hypothesis test. PromptGenerate a sample of size 750 using data for the Pacific region. Then, design a hypothesis test and interpret the results using significance level α = .05. You will work with this sample in the assignment. Briefly describe how you generated your random sample.Use the House Listing Price by Region document and the National Summary Statistics and Graphs House Listing Price by Region documents to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment TemplateHypothesis Test Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.Define your population parameter.Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.Specify the name of the test you will use.Identify whether it is a left-tailed, right-tailed, or two-tailed test.Identify your significance level.Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.Provide the descriptive statistics (sample size, mean, median, and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape, center, and spread of your sample.Determine whether the conditions to perform your identified test have been met.Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.
Calculate the sample mean and standard error.Determine the appropriate test statistic, then calculate the test statistic.Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 280.Calculate the p value.Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.Discuss how the p value relates to the significance level.Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.You can use the following tutorial that is specifically about this assignment:MAT-240 Module 5 Assignment
STA 3215 UMTC Analyze of Patients Age Presentation
You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have not ...
STA 3215 UMTC Analyze of Patients Age Presentation
You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager, and together you work to use statistical analysis to look more closely at the ages of these patients.You do some research and put together a spreadsheet of the data that contains the following informationClient numberInfection disease statusAge of the patientYou are to put together a PowerPoint presentation that explains the analysis of your findings which you will submit to your manager. The presentation should contain all components of your findings. For review, the components of the report should include:Brief overview of the scenario and variables in the data setDiscussion, calculation, and interpretation of the mean, median, mode, range, standard deviation, and varianceDiscussion, construction, and interpretation of the 95% confidence intervalExplanation of the full hypothesis testConclusionThe calculations should be performed in your spreadsheet that you will also submit to your manager. You can find additional information on what to add to your PowerPoint presentation in this Word document. Use the questions in the worksheet as your guide for the contents of your presentation.For your final deliverable, submit your PowerPoint presentation and the Excel workbook showing your work. Do not submit your Word document.
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