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2-1 Data Set Homework: Descriptive Statistics on Data Set 1
InstructionsData Set 1 presents a sample of annual salaries for recently hired plant operators at a chemical manufacturing ...
2-1 Data Set Homework: Descriptive Statistics on Data Set 1
InstructionsData Set 1 presents a sample of annual salaries for recently hired plant operators at a chemical manufacturing company. Use Excel's ToolPak (or any statistical package that you are comfortable with) to compute descriptive statistics for the data. Submit your statistical output from Excel, which should include values for the mean, median, mode, sample variance, and sample standard deviation, and a one-page Word document in which you present an analysis of your results.
Los Angeles Valley College Independent Samples Solution
Conduct an independent samples t-test (a.k.a., between-subjects design) comparing two independent groups on any variable o ...
Los Angeles Valley College Independent Samples Solution
Conduct an independent samples t-test (a.k.a., between-subjects design) comparing two independent groups on any variable of your choice.Each sample should have at least n=10 individuals (thus, 20 people in the study total, at minimum)What to turn in:State your research question (e.g., Is there a difference in coffee consumption between males and females?).State the null and alternative hypotheses, and then conduct the hypothesis test using an alpha level of .05.Calculate and interpret a measure of effect size (estimated Cohen’s d or r2).Calculate a 95% confidence interval.Write a conclusion statement, as would appear in a published research report.Critical analysis: Write a short paragraph (2-3 sentences) explaining why your research question is important and where your findings could be applied. This is very open ended. For example, if one were studying coffee consumption differences between males and females, they could discuss the importance of this information for Starbucks marketing purposes.
17 pages
Geometry Of Archimedes And Eratosthenes 1
The twentieth-century mathematicians carry on a significantly sophisticated intellectual activity, which is not easy to de ...
Geometry Of Archimedes And Eratosthenes 1
The twentieth-century mathematicians carry on a significantly sophisticated intellectual activity, which is not easy to define. However, much of the ...
MTH109 Colorado State University Module 6 Probability calculations Paper
Option #1: Probability #1The odds of winning a game of HORSE in basketball is 3 to 5 against your opponent. What is the p ...
MTH109 Colorado State University Module 6 Probability calculations Paper
Option #1: Probability #1The odds of winning a game of HORSE in basketball is 3 to 5 against your opponent. What is the probability that you win the game?You have purchased a used car. Historically, the chance of spending $2000 in repairs for the car is 72% and the chance of spending $3000 is 28%. What is the expected value of the amount you will spend in repairs for the car?Three cards are drawn from a 52-card deck of cards. What is the probability that all three cards are hearts?Requirements:Show all your work so that the instructor clearly sees how you solved the problem.Make sure your final answer is clear and visible.DEAR writer please understand that even thouh this is a math paper, it still MUST be written in APA format. APA formatting catches: The title of your paper should appear in four locations (title page header, title page, body header, first line of body) and should be exactly the same in each location. Your title page header should be “Running head: TITLE IN ALL CAPS. We drop the “Running head:” portion on the other page headers. Please use in-body headings as well. All in-body headings should be centered, and all of your headings should be Level 1 headings.ALSO....make sure to include an introduction, conclusion and reference citation when possible. Thank You!
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, co ...
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about correlation coefficient and simple linear regression. A car rental company wants to evaluate the premise that heavier cars are less fuel efficient than lighter cars. In other words, the company expects that fuel efficiency (miles per gallon) and weight of the car (often measured in thousands of pounds) are correlated. Performing this analysis will help the company optimize its business model and charge its customers appropriately.In this discussion, you will work with a cars data set that includes two variables:Miles per gallon (coded as mpg in the data set)Weight of the car (coded as wt in the data set)The random sample will be drawn from a CSV file. This data will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data.In your initial post, address the following items:You created a scatterplot of miles per gallon against weight; check to make sure it was included in your attachment. Does the graph show any trend? If yes, is the trend what you expected? Why or why not? See Step 2 in the Python script.What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script.Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model? See Step 4 in the Python script.What is the slope coefficient? Is this coefficient significant at a 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for weight in the Python output.) See Step 4 in the Python script.In your follow-up posts to other students, review your peers' calculations and provide some analysis and interpretation:How do their plots and correlation coefficients compare with yours?Would you recommend this regression model to the car rental company? Why or why not?Remember to attach your Python output and respond to all questions in your initial and follow-up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.PART 2 For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.1.Python Script: To complete the tasks listed below, open the Project Two Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scripts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:oHypothesis tests for a population parameter§Hypothesis tests for a population mean§Hypothesis test for a population proportionoHypothesis test for the difference between two population parameters§Hypothesis test for difference between two population means2.Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:oIntroduction: Set the context for your scenario and the analyses you will be performing.oHypothesis tests for the population mean: Discuss all steps of the hypothesis tests and interpret your results.oHypothesis test for the population proportion: Discuss all steps of the hypothesis test and interpret your results.oHypothesis test for the difference between two population means: Discuss all steps of the hypothesis test and interpret your results.oConclusion: Summarize your findings and explain their practical implications.What to SubmitTo complete this project, you must submit the following:Python ScriptYour Jupyter Notebook Python script contains all the statistical analyses you completed for this project. You downloaded your work as an HTML file. Review the file to make sure that every step and all your outputs are included. Submit the HTML file as part of your submission. Review the Jupyter Notebook in Codio Tutorial in the Supporting Materials section if you need help.Summary ReportUse the provided template to create your summary report. The template contains guiding questions to help you complete each section. Be sure to remove these questions before submitting your report. Your summary report should be submitted as a 3- to 5-page Microsoft Word document. It should include an APA-style cover page and APA citations for any sources used. Use double spacing, 12-point Times New Roman font, and one-inch margins.
Stony Brook University Labour Regression Model Data Analysis
1. This paragraph(s) describes where the data came from (This is likely from an internal database), the steps that you too ...
Stony Brook University Labour Regression Model Data Analysis
1. This paragraph(s) describes where the data came from (This is likely from an internal database), the steps that you took to explore the data and if the data is appropriate for the model (You may break this into multiple paragraphs if needed). Where is the data from? How did you filter the data? Examine the assumptions in the instructions and determine the tables and plots that are needed and state if each appears to be met (Boxplot for outliers, Scatter plots for continuous variables, observed by predicted for equal variance and fit diagnostics for normality of error terms). You should reference the appropriate figures and tables in the paragraph. You should always provide a summary statistics table and discuss it (missing data and relevant statistics). The last sentence should be whether the data is appropriate for a linear regression. 2.This paragraph discusses the results. Were the model results significant (Report the f value and the p value from SAS)? What was the R-Squared and Root MSE and what do they imply? Discuss the Parameter estimates and interpret them. You should also discuss if they are meaningful. 3.What is your recommendation for the use of the model? Is further analysis needed? Evaluate the 2 employees from paragraph 1 (Employee 1: Position 1, Location 8, 5 Years of Experience, performance review 7, and $17/hr vs. Employee 2: Position 2, Location 8, 5 Years of Experience, performance review 7 and $17/hr). Are either employee grossly over or under paid according to the model? What action if any should be taken to adjust their salary?After the body of the memo you should have several figures (Histogram and boxplot of $/hr, scatter plots for each continuous variable compared to the dependent, observed vs predicted, and fit diagnostics) and tables (Summary statistics and Parameter estimates). Format them, number them, and refer to them in the text.
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Most Popular Content
2-1 Data Set Homework: Descriptive Statistics on Data Set 1
InstructionsData Set 1 presents a sample of annual salaries for recently hired plant operators at a chemical manufacturing ...
2-1 Data Set Homework: Descriptive Statistics on Data Set 1
InstructionsData Set 1 presents a sample of annual salaries for recently hired plant operators at a chemical manufacturing company. Use Excel's ToolPak (or any statistical package that you are comfortable with) to compute descriptive statistics for the data. Submit your statistical output from Excel, which should include values for the mean, median, mode, sample variance, and sample standard deviation, and a one-page Word document in which you present an analysis of your results.
Los Angeles Valley College Independent Samples Solution
Conduct an independent samples t-test (a.k.a., between-subjects design) comparing two independent groups on any variable o ...
Los Angeles Valley College Independent Samples Solution
Conduct an independent samples t-test (a.k.a., between-subjects design) comparing two independent groups on any variable of your choice.Each sample should have at least n=10 individuals (thus, 20 people in the study total, at minimum)What to turn in:State your research question (e.g., Is there a difference in coffee consumption between males and females?).State the null and alternative hypotheses, and then conduct the hypothesis test using an alpha level of .05.Calculate and interpret a measure of effect size (estimated Cohen’s d or r2).Calculate a 95% confidence interval.Write a conclusion statement, as would appear in a published research report.Critical analysis: Write a short paragraph (2-3 sentences) explaining why your research question is important and where your findings could be applied. This is very open ended. For example, if one were studying coffee consumption differences between males and females, they could discuss the importance of this information for Starbucks marketing purposes.
17 pages
Geometry Of Archimedes And Eratosthenes 1
The twentieth-century mathematicians carry on a significantly sophisticated intellectual activity, which is not easy to de ...
Geometry Of Archimedes And Eratosthenes 1
The twentieth-century mathematicians carry on a significantly sophisticated intellectual activity, which is not easy to define. However, much of the ...
MTH109 Colorado State University Module 6 Probability calculations Paper
Option #1: Probability #1The odds of winning a game of HORSE in basketball is 3 to 5 against your opponent. What is the p ...
MTH109 Colorado State University Module 6 Probability calculations Paper
Option #1: Probability #1The odds of winning a game of HORSE in basketball is 3 to 5 against your opponent. What is the probability that you win the game?You have purchased a used car. Historically, the chance of spending $2000 in repairs for the car is 72% and the chance of spending $3000 is 28%. What is the expected value of the amount you will spend in repairs for the car?Three cards are drawn from a 52-card deck of cards. What is the probability that all three cards are hearts?Requirements:Show all your work so that the instructor clearly sees how you solved the problem.Make sure your final answer is clear and visible.DEAR writer please understand that even thouh this is a math paper, it still MUST be written in APA format. APA formatting catches: The title of your paper should appear in four locations (title page header, title page, body header, first line of body) and should be exactly the same in each location. Your title page header should be “Running head: TITLE IN ALL CAPS. We drop the “Running head:” portion on the other page headers. Please use in-body headings as well. All in-body headings should be centered, and all of your headings should be Level 1 headings.ALSO....make sure to include an introduction, conclusion and reference citation when possible. Thank You!
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, co ...
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about correlation coefficient and simple linear regression. A car rental company wants to evaluate the premise that heavier cars are less fuel efficient than lighter cars. In other words, the company expects that fuel efficiency (miles per gallon) and weight of the car (often measured in thousands of pounds) are correlated. Performing this analysis will help the company optimize its business model and charge its customers appropriately.In this discussion, you will work with a cars data set that includes two variables:Miles per gallon (coded as mpg in the data set)Weight of the car (coded as wt in the data set)The random sample will be drawn from a CSV file. This data will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data.In your initial post, address the following items:You created a scatterplot of miles per gallon against weight; check to make sure it was included in your attachment. Does the graph show any trend? If yes, is the trend what you expected? Why or why not? See Step 2 in the Python script.What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script.Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model? See Step 4 in the Python script.What is the slope coefficient? Is this coefficient significant at a 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for weight in the Python output.) See Step 4 in the Python script.In your follow-up posts to other students, review your peers' calculations and provide some analysis and interpretation:How do their plots and correlation coefficients compare with yours?Would you recommend this regression model to the car rental company? Why or why not?Remember to attach your Python output and respond to all questions in your initial and follow-up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.PART 2 For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.1.Python Script: To complete the tasks listed below, open the Project Two Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scripts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:oHypothesis tests for a population parameter§Hypothesis tests for a population mean§Hypothesis test for a population proportionoHypothesis test for the difference between two population parameters§Hypothesis test for difference between two population means2.Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:oIntroduction: Set the context for your scenario and the analyses you will be performing.oHypothesis tests for the population mean: Discuss all steps of the hypothesis tests and interpret your results.oHypothesis test for the population proportion: Discuss all steps of the hypothesis test and interpret your results.oHypothesis test for the difference between two population means: Discuss all steps of the hypothesis test and interpret your results.oConclusion: Summarize your findings and explain their practical implications.What to SubmitTo complete this project, you must submit the following:Python ScriptYour Jupyter Notebook Python script contains all the statistical analyses you completed for this project. You downloaded your work as an HTML file. Review the file to make sure that every step and all your outputs are included. Submit the HTML file as part of your submission. Review the Jupyter Notebook in Codio Tutorial in the Supporting Materials section if you need help.Summary ReportUse the provided template to create your summary report. The template contains guiding questions to help you complete each section. Be sure to remove these questions before submitting your report. Your summary report should be submitted as a 3- to 5-page Microsoft Word document. It should include an APA-style cover page and APA citations for any sources used. Use double spacing, 12-point Times New Roman font, and one-inch margins.
Stony Brook University Labour Regression Model Data Analysis
1. This paragraph(s) describes where the data came from (This is likely from an internal database), the steps that you too ...
Stony Brook University Labour Regression Model Data Analysis
1. This paragraph(s) describes where the data came from (This is likely from an internal database), the steps that you took to explore the data and if the data is appropriate for the model (You may break this into multiple paragraphs if needed). Where is the data from? How did you filter the data? Examine the assumptions in the instructions and determine the tables and plots that are needed and state if each appears to be met (Boxplot for outliers, Scatter plots for continuous variables, observed by predicted for equal variance and fit diagnostics for normality of error terms). You should reference the appropriate figures and tables in the paragraph. You should always provide a summary statistics table and discuss it (missing data and relevant statistics). The last sentence should be whether the data is appropriate for a linear regression. 2.This paragraph discusses the results. Were the model results significant (Report the f value and the p value from SAS)? What was the R-Squared and Root MSE and what do they imply? Discuss the Parameter estimates and interpret them. You should also discuss if they are meaningful. 3.What is your recommendation for the use of the model? Is further analysis needed? Evaluate the 2 employees from paragraph 1 (Employee 1: Position 1, Location 8, 5 Years of Experience, performance review 7, and $17/hr vs. Employee 2: Position 2, Location 8, 5 Years of Experience, performance review 7 and $17/hr). Are either employee grossly over or under paid according to the model? What action if any should be taken to adjust their salary?After the body of the memo you should have several figures (Histogram and boxplot of $/hr, scatter plots for each continuous variable compared to the dependent, observed vs predicted, and fit diagnostics) and tables (Summary statistics and Parameter estimates). Format them, number them, and refer to them in the text.
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