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Boston Marathon
1. Make a scatterplot of the Boston marathon data using years vs. time (in minutes)of both the men’s and women’s data ...
Boston Marathon
1. Make a scatterplot of the Boston marathon data using years vs. time (in minutes)of both the men’s and women’s data in the same scatter plot.
Statistics
Journal Article SummaryFor this assignment, you will identify a published research article either in the print literature ...
Statistics
Journal Article SummaryFor this assignment, you will identify a published research article either in the print literature or online in the Capella Library. Your article must be based on empirical (data-based) research; qualitative or purely descriptive research is not appropriate. Select a journal article in your career specialization that reports a correlation, a t test, a one-way ANOVA, or some combination of these test statistics. The library guides listed in the Resources area can help you to locate appropriate articles.The intent of this assignment is to:Expose you to professional literature in your discipline.Provide practice in the interpretation of statistical results contained in an empirical (data-based) journal article.Provide practice in writing and thinking in a concise and economical manner that is typical of scientific discourse.You will summarize the article in a maximum of 600 words using the DAA Template located in the Resources area. Specific instructions for completing each section of the DAA Template are listed below.You may use some of the author's own words to summarize the article with proper citation, but avoid lengthy direct quotes (such as copying multiple sentences or paragraphs verbatim). You should not exceed the limit of 600 words. This is a situation where less is better.Step 1: Write Section 1 of the DAA.Provide a brief summary of the journal article.Include a definition of the specified variables (predictor, outcome) and corresponding scales of measurement (nominal, continuous).Specify the sample size of the data set.Discuss why the journal article is relevant to your career specialization.Step 2: Write Section 2 of the DAA.Discuss the assumptions of the statistical test used in the journal article. If possible, identify information in the article about how these assumptions were tested.If no information on assumptions is provided, consider this as a limitation of the reported study.Step 3: Write Section 3 of the DAA.Specify the research question from the journal article.Articulate the null hypothesis and alternative hypothesis.Step 4: Write Section 4 of the DAA.Report the results of the statistical test using proper APA guidelines. This includes: The statistical notation (such as r, t, or F).The degrees of freedom.The statistical value of r, t, or F, and the p value.Report the effect size and interpretation if one is provided.Interpret the test statistic with regard to the null hypothesis.Step 5: Write Section 5 of the DAA.Discuss the conclusions of the statistical test as it relates to the research question.Conclude with an analysis of the strengths and limitations of the study reported in the journal article.Submit your DAA Template as an attached Word document in the assignment area.
financial planning
complete a reflective essay to address the following questionCo ...
financial planning
complete a reflective essay to address the following questionConsider what you know about personal financial matters. Where did you gain this knowledge? Did you learn about these matters in school or some other deliberate training, or did you learn from personal experience? Are you satisfied with your level of knowledge on personal financial matters? Are you satisfied with how you have handled money in the past. How do changes in interest rate, time, and compounding affect the amount of interest earned on an investment? What changes will you make in the way you deal with money based on what you learned?Will you be making any changes in the way that you handle financial matters based on what you learned? If so, what will you do differently? What do you wish you had known earlier in your financial life? What financial advice would you give to a young person just starting out?Planning for the FutureAfter you have contemplated the questions above, draft your reflective essay. Every piece of writing should have an introduction, body, and conclusion. A good way to plan this particular reflective essay is to write an introduction to the essay. Next, write at least three body paragraphs and address each of the points listed above. End your essay with a conclusion paragraph tying all of your ideas together. The essay should be at least five paragraphs in length. You are expected to use outside sources for this essay. Cite outside sources in proper APA format. Your essay should include a highly developed purpose and viewpoint; it should also be written in Standard American English and demonstrate exceptional content, organization, style, grammar, and mechanics. There should be no evidence of plagiarism.
UMGC Agency Leadership Worksheet
A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is ...
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. 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 vehicles1. Agency leadership wants to create a simple linear regression model to predict a vehicle's average fuel economy based on the weight of the vehicle.Create a scatterplot using Vehicle Weight as the independent variable and Average MPG as the dependent variable. Perform a visual analysis of the data: describe the trend, strength, and shape of the relationship between these two variables. Choose the correct answer below.A. The scatterplot indicates there is a positive, strong, linear relationship between Vehicle Weight and Average MPG.B. 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. What type of car has the highest variability in fuel efficiency (judge by the graph, do not calculate)?A.TrucksB. Passenger carsC. SUVs8.4. And again looking at the side-by-side boxplot only, without yet doing any calculations: do you expect to find significant differences in mean fuel efficiency between the types of cars?A. No, because differences in medians are small.B. No, because differences in medians are small relative to the amount of variation within each type.C. Yes, because differences in medians are small relative to the amount of variation within each type.D. Yes, because differences in medians are small.
MAT 104 Pace University Finite Mathematics Final Exam Questions
final exam: 16 questions in totalplease use the equations provided by the teacherplease show all work and be as clear as p ...
MAT 104 Pace University Finite Mathematics Final Exam Questions
final exam: 16 questions in totalplease use the equations provided by the teacherplease show all work and be as clear as possibleI will attach the textbook below as a reference
16 pages
Topic 7 Exercises Assignment
19.9 Randomly selected records of 140 convicted criminals reveal that their crimes were (a) Using the .01 level of signifi ...
Topic 7 Exercises Assignment
19.9 Randomly selected records of 140 convicted criminals reveal that their crimes were (a) Using the .01 level of significance, test the null ...
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Boston Marathon
1. Make a scatterplot of the Boston marathon data using years vs. time (in minutes)of both the men’s and women’s data ...
Boston Marathon
1. Make a scatterplot of the Boston marathon data using years vs. time (in minutes)of both the men’s and women’s data in the same scatter plot.
Statistics
Journal Article SummaryFor this assignment, you will identify a published research article either in the print literature ...
Statistics
Journal Article SummaryFor this assignment, you will identify a published research article either in the print literature or online in the Capella Library. Your article must be based on empirical (data-based) research; qualitative or purely descriptive research is not appropriate. Select a journal article in your career specialization that reports a correlation, a t test, a one-way ANOVA, or some combination of these test statistics. The library guides listed in the Resources area can help you to locate appropriate articles.The intent of this assignment is to:Expose you to professional literature in your discipline.Provide practice in the interpretation of statistical results contained in an empirical (data-based) journal article.Provide practice in writing and thinking in a concise and economical manner that is typical of scientific discourse.You will summarize the article in a maximum of 600 words using the DAA Template located in the Resources area. Specific instructions for completing each section of the DAA Template are listed below.You may use some of the author's own words to summarize the article with proper citation, but avoid lengthy direct quotes (such as copying multiple sentences or paragraphs verbatim). You should not exceed the limit of 600 words. This is a situation where less is better.Step 1: Write Section 1 of the DAA.Provide a brief summary of the journal article.Include a definition of the specified variables (predictor, outcome) and corresponding scales of measurement (nominal, continuous).Specify the sample size of the data set.Discuss why the journal article is relevant to your career specialization.Step 2: Write Section 2 of the DAA.Discuss the assumptions of the statistical test used in the journal article. If possible, identify information in the article about how these assumptions were tested.If no information on assumptions is provided, consider this as a limitation of the reported study.Step 3: Write Section 3 of the DAA.Specify the research question from the journal article.Articulate the null hypothesis and alternative hypothesis.Step 4: Write Section 4 of the DAA.Report the results of the statistical test using proper APA guidelines. This includes: The statistical notation (such as r, t, or F).The degrees of freedom.The statistical value of r, t, or F, and the p value.Report the effect size and interpretation if one is provided.Interpret the test statistic with regard to the null hypothesis.Step 5: Write Section 5 of the DAA.Discuss the conclusions of the statistical test as it relates to the research question.Conclude with an analysis of the strengths and limitations of the study reported in the journal article.Submit your DAA Template as an attached Word document in the assignment area.
financial planning
complete a reflective essay to address the following questionCo ...
financial planning
complete a reflective essay to address the following questionConsider what you know about personal financial matters. Where did you gain this knowledge? Did you learn about these matters in school or some other deliberate training, or did you learn from personal experience? Are you satisfied with your level of knowledge on personal financial matters? Are you satisfied with how you have handled money in the past. How do changes in interest rate, time, and compounding affect the amount of interest earned on an investment? What changes will you make in the way you deal with money based on what you learned?Will you be making any changes in the way that you handle financial matters based on what you learned? If so, what will you do differently? What do you wish you had known earlier in your financial life? What financial advice would you give to a young person just starting out?Planning for the FutureAfter you have contemplated the questions above, draft your reflective essay. Every piece of writing should have an introduction, body, and conclusion. A good way to plan this particular reflective essay is to write an introduction to the essay. Next, write at least three body paragraphs and address each of the points listed above. End your essay with a conclusion paragraph tying all of your ideas together. The essay should be at least five paragraphs in length. You are expected to use outside sources for this essay. Cite outside sources in proper APA format. Your essay should include a highly developed purpose and viewpoint; it should also be written in Standard American English and demonstrate exceptional content, organization, style, grammar, and mechanics. There should be no evidence of plagiarism.
UMGC Agency Leadership Worksheet
A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is ...
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. 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 vehicles1. Agency leadership wants to create a simple linear regression model to predict a vehicle's average fuel economy based on the weight of the vehicle.Create a scatterplot using Vehicle Weight as the independent variable and Average MPG as the dependent variable. Perform a visual analysis of the data: describe the trend, strength, and shape of the relationship between these two variables. Choose the correct answer below.A. The scatterplot indicates there is a positive, strong, linear relationship between Vehicle Weight and Average MPG.B. 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. What type of car has the highest variability in fuel efficiency (judge by the graph, do not calculate)?A.TrucksB. Passenger carsC. SUVs8.4. And again looking at the side-by-side boxplot only, without yet doing any calculations: do you expect to find significant differences in mean fuel efficiency between the types of cars?A. No, because differences in medians are small.B. No, because differences in medians are small relative to the amount of variation within each type.C. Yes, because differences in medians are small relative to the amount of variation within each type.D. Yes, because differences in medians are small.
MAT 104 Pace University Finite Mathematics Final Exam Questions
final exam: 16 questions in totalplease use the equations provided by the teacherplease show all work and be as clear as p ...
MAT 104 Pace University Finite Mathematics Final Exam Questions
final exam: 16 questions in totalplease use the equations provided by the teacherplease show all work and be as clear as possibleI will attach the textbook below as a reference
16 pages
Topic 7 Exercises Assignment
19.9 Randomly selected records of 140 convicted criminals reveal that their crimes were (a) Using the .01 level of signifi ...
Topic 7 Exercises Assignment
19.9 Randomly selected records of 140 convicted criminals reveal that their crimes were (a) Using the .01 level of significance, test the null ...
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