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The perimeter of a rectangle is 52m. The length is 2.25 times the width. Find the dimensions of the rectangle
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Chamberlain College of Nursing W6 Confidence Intervals Project
A confidence interval is a defined range of values such that there is a specified probability that the value of a paramete ...
Chamberlain College of Nursing W6 Confidence Intervals Project
A confidence interval is a defined range of values such that there is a specified probability that the value of a parameter lies within the interval.
In Part I of this project, you will analyze data, complete research and provide a write-up that includes calculations.
Introduction--Provide a description of the data you were provided and discuss what you know about the chosen topic.
Sample Data—Provide the 50 data values on your worksheet. You must provide ALL of your sample data.
Problem Computations—For the topic, you must answer the following:
Determine the mean and standard deviation of your sample.
Find the 80%, 95%, and 99% confidence intervals.
Make sure to list the margin of error for the 80%, 95%, and 99% confidence interval.
Create your own confidence interval (you cannot use 80%, 95%, and 99%) and make sure to show your work. Make sure to list the margin of error.
Provide a sentence for each confidence interval created which explains what the confidence interval means in context of topic of your project.
Problem Analysis—Write a half-page reflection.
What trend do you see takes place to the confidence interval as the confidence level rises? Explain mathematically why that takes place.
Explain how Part I of the project has helped you understand confidence intervals better?
How did this project help you understand statistics better?
8 pages
Research Paper On Diabetes Autosaved
The overall aim of this research study is to study the relationship that exists between the lifestyle choices of individua ...
Research Paper On Diabetes Autosaved
The overall aim of this research study is to study the relationship that exists between the lifestyle choices of individuals and the risk for such ...
SNHU Median Housing Price Prediction Models Worksheet
Recall that samples are used to generate a statistic, which businesses use to estimate the population parameter. You have ...
SNHU Median Housing Price Prediction Models Worksheet
Recall that samples are used to generate a statistic, which businesses use to estimate the population parameter. You have learned how to take samples from populations and use them to produce statistics. For two quantitative variables, businesses can use scatterplots and the correlation coefficient to explore a potential linear relationship. Furthermore, they can quantify the relationship in a regression equation.PromptThis assignment picks up where the Module Two assignment left off and will use components of that assignment as a foundation.You have submitted your initial analysis to the sales team at D.M. Pan Real Estate Company. You will continue your analysis of the provided Real Estate County Data spreadsheet using your selected region to complete your analysis. You may refer back to the initial report you developed in the Module Two Assignment Template to continue the work. This document and the National Statistics and Graphs spreadsheet will support your work on the assignment.Note: In the report you prepare for the sales team, the dependent, or response, variable (y) should be the median listing price and the independent, or predictor, variable (x) should be the median square feet.Using the Module Three Assignment Template, specifically address the following:Regression Equation: Provide the regression equation for the line of best fit using the scatterplot from the Module Two assignment.Determine r: Determine r and what it means. (What is the relationship between the variables?)Determine the strength of the correlation (weak, moderate, or strong).Discuss how you determine the direction of the association between the two variables.Is there a positive or negative association?What do you see as the direction of the correlation?Examine the Slope and Intercepts: Examine the slopeb1{"version":"1.1","math":"b1"} and intercept b0{"version":"1.1","math":"b0"}.Draw conclusions from the slope and intercept in the context of this problem.Does the intercept make sense based on your observation of the line of best fit?Determine the value of the land only.Note: You can assume, when the square footage of the house is zero, that the price is the value of just the land. This happens when x=0, which is the y-intercept.Determine the R-squared Coefficient: Determine the R-squared value.Discuss what R-squared means in the context of this analysis.Conclusions: Reflect on the Relationship: Reflect on the relationship between square feet and sales price by answering the following questions:Is the square footage for homes in your selected region different than for homes overall in the United States?For every 100 square feet, how much does the price go up (i.e., can you use slope to help identify price changes)?Use the regression equation to estimate how much you would list your house for if it was 1,200 square feet.What square footage range would the graph be best used for?Guidelines for SubmissionSubmit your completed Module Three Assignment Template as a Word document that includes your response and supporting charts/graphs. The following resources support your work on this assignment:Module Three Assignment RubricCriteriaExemplaryProficientNeeds ImprovementNot EvidentValueRegression EquationN/AProvides the regression equation for the line of best fit (100%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include an inaccurate equation (55%)Does not attempt criterion (0%)10Determine rExceeds proficiency in an exceptionally clear manner (100%)Describes the direction, strength of correlation, and association between the variables (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include missing one or more of the following: direction, strength of correlation, or association between the variables (55%)Does not attempt criterion (0%)20Examine the Slope and InterceptExceeds proficiency in an exceptionally clear manner (100%)Draws conclusions from the slope and intercept in context, makes predictions, determines the value of only the land (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include missing one or more of the following: conclusions from the slope and intercept in context, predictions, or the value of only the land (55%)Does not attempt criterion (0%)20Determine the R-squared CoefficientExceeds proficiency in an exceptionally clear manner (100%)Determines the R-squared coefficient and explains it in context (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include an inaccurate determination of the R-squared coefficient or an explanation that is out of context (55%)Does not attempt criterion (0%)20]Conclusions: Reflect on the RelationshipExceeds proficiency in an exceptionally clear, insightful, or sophisticated manner (100%)Reflects on the relationship between square feet and sales price (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include a reflection on the relationship between variables that is missing components (55%)Does not attempt criterion (0%)20Articulation of ResponseExceeds proficiency in an exceptionally clear, insightful, sophisticated, or creative manner (100%)Clearly conveys meaning with correct grammar, sentence structure, and spelling, demonstrating an understanding of audience and purpose (85%)Shows progress toward proficiency, but with errors in grammar, sentence structure, and spelling, negatively impacting readability (55%)Submission has critical errors in grammar, sentence structure, and spelling, preventing understanding of ideas (0%)10Tota
3 pages
Module 1 Discussion Statistics In Everyday Life
I experience statistics in my everyday life not only in my place of work but also in my personal life. It is impossible to ...
Module 1 Discussion Statistics In Everyday Life
I experience statistics in my everyday life not only in my place of work but also in my personal life. It is impossible to do away with statistics or ...
Spicy Wings Case, Use descriptive statistics to compute a measure of performance John can use to analyze his delivery performance
Assignment StepsResources: Microsoft Excel®, Spicy Wings Case Study, Spicy Wings Data SetDevelop a 700-word statistical a ...
Spicy Wings Case, Use descriptive statistics to compute a measure of performance John can use to analyze his delivery performance
Assignment StepsResources: Microsoft Excel®, Spicy Wings Case Study, Spicy Wings Data SetDevelop a 700-word statistical analysis.Use descriptive statistics to compute a measure of performance John can use to analyze his delivery performance. Find the following for your measures:MeanStandard deviationSample sizeFive-number summary on the total timeConduct a formal hypothesis testing to help John decide whether to offer the delivery guarantee or not.Estimate the probability of an order taking longer than 30 minutes.Make a recommendation in a short narrative including the following:Based on the sampled data, should John offer the guarantee?What percent of the Saturday deliveries would result in a customer receiving a free order?What recommendations might help John improve his Saturday delivery times?Format your assignment consistent with APA format.
Walden University High School Longitudinal Study Dataset Discussion
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. ...
Walden University High School Longitudinal Study Dataset Discussion
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another. To prepare for this Discussion: Review this week’s Learning Resources and media program related to multiple regression. Create a research question using the Afrobarometer Dataset or the HS Long Survey Dataset, that can be answered by multiple regression. Use SPSS to answer the research questions. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES. What is your research question? What is the null hypothesis for your question? What research design would align with this question? What dependent variable was used and how is it measured? What independent variables are used and how are they measured? What is the justification for including these predictor variables? If you found significance, what is the strength of the effect? Explain your results for a lay audience, explain what the answer to your research question. Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.Learning ResourcesRequired ReadingsFrankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.Chapter 12, “Regression and Correlation” (pp. 401-457) (previously read in Week 8)Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.Chapter 8, "Correlation and Regression Analysis"Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, and 8)Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210For help with this week’s research, see this Course Guide and related weekly assignment resources.Document: Walden University: Research Design Alignment TableRequired MediaLaureate Education (Producer). (2016g). Multiple regression [Video file]. Baltimore, MD: Author.Note: The approximate length of this media piece is 7 minutes.In this media program, Dr. Matt Jones demonstrates multiple regression using the SPSS software.Accessible player --Downloads-- Download Video w/CC Download Audio Download Transcript Optional ResourcesSkill Builder: Interpreting the Results from Regression ModelsTo access these Skill Builders, navigate back to your Blackboard Course Home page, and locate “Skill Builders” in the left navigation pane. From there, click on the relevant Skill Builder link for this week. You are encouraged to click through these and all Skill Builders to gain additional practice with these concepts. Doing so will bolster your knowledge of the concepts you’re learning this week and throughout the course.
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Chamberlain College of Nursing W6 Confidence Intervals Project
A confidence interval is a defined range of values such that there is a specified probability that the value of a paramete ...
Chamberlain College of Nursing W6 Confidence Intervals Project
A confidence interval is a defined range of values such that there is a specified probability that the value of a parameter lies within the interval.
In Part I of this project, you will analyze data, complete research and provide a write-up that includes calculations.
Introduction--Provide a description of the data you were provided and discuss what you know about the chosen topic.
Sample Data—Provide the 50 data values on your worksheet. You must provide ALL of your sample data.
Problem Computations—For the topic, you must answer the following:
Determine the mean and standard deviation of your sample.
Find the 80%, 95%, and 99% confidence intervals.
Make sure to list the margin of error for the 80%, 95%, and 99% confidence interval.
Create your own confidence interval (you cannot use 80%, 95%, and 99%) and make sure to show your work. Make sure to list the margin of error.
Provide a sentence for each confidence interval created which explains what the confidence interval means in context of topic of your project.
Problem Analysis—Write a half-page reflection.
What trend do you see takes place to the confidence interval as the confidence level rises? Explain mathematically why that takes place.
Explain how Part I of the project has helped you understand confidence intervals better?
How did this project help you understand statistics better?
8 pages
Research Paper On Diabetes Autosaved
The overall aim of this research study is to study the relationship that exists between the lifestyle choices of individua ...
Research Paper On Diabetes Autosaved
The overall aim of this research study is to study the relationship that exists between the lifestyle choices of individuals and the risk for such ...
SNHU Median Housing Price Prediction Models Worksheet
Recall that samples are used to generate a statistic, which businesses use to estimate the population parameter. You have ...
SNHU Median Housing Price Prediction Models Worksheet
Recall that samples are used to generate a statistic, which businesses use to estimate the population parameter. You have learned how to take samples from populations and use them to produce statistics. For two quantitative variables, businesses can use scatterplots and the correlation coefficient to explore a potential linear relationship. Furthermore, they can quantify the relationship in a regression equation.PromptThis assignment picks up where the Module Two assignment left off and will use components of that assignment as a foundation.You have submitted your initial analysis to the sales team at D.M. Pan Real Estate Company. You will continue your analysis of the provided Real Estate County Data spreadsheet using your selected region to complete your analysis. You may refer back to the initial report you developed in the Module Two Assignment Template to continue the work. This document and the National Statistics and Graphs spreadsheet will support your work on the assignment.Note: In the report you prepare for the sales team, the dependent, or response, variable (y) should be the median listing price and the independent, or predictor, variable (x) should be the median square feet.Using the Module Three Assignment Template, specifically address the following:Regression Equation: Provide the regression equation for the line of best fit using the scatterplot from the Module Two assignment.Determine r: Determine r and what it means. (What is the relationship between the variables?)Determine the strength of the correlation (weak, moderate, or strong).Discuss how you determine the direction of the association between the two variables.Is there a positive or negative association?What do you see as the direction of the correlation?Examine the Slope and Intercepts: Examine the slopeb1{"version":"1.1","math":"b1"} and intercept b0{"version":"1.1","math":"b0"}.Draw conclusions from the slope and intercept in the context of this problem.Does the intercept make sense based on your observation of the line of best fit?Determine the value of the land only.Note: You can assume, when the square footage of the house is zero, that the price is the value of just the land. This happens when x=0, which is the y-intercept.Determine the R-squared Coefficient: Determine the R-squared value.Discuss what R-squared means in the context of this analysis.Conclusions: Reflect on the Relationship: Reflect on the relationship between square feet and sales price by answering the following questions:Is the square footage for homes in your selected region different than for homes overall in the United States?For every 100 square feet, how much does the price go up (i.e., can you use slope to help identify price changes)?Use the regression equation to estimate how much you would list your house for if it was 1,200 square feet.What square footage range would the graph be best used for?Guidelines for SubmissionSubmit your completed Module Three Assignment Template as a Word document that includes your response and supporting charts/graphs. The following resources support your work on this assignment:Module Three Assignment RubricCriteriaExemplaryProficientNeeds ImprovementNot EvidentValueRegression EquationN/AProvides the regression equation for the line of best fit (100%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include an inaccurate equation (55%)Does not attempt criterion (0%)10Determine rExceeds proficiency in an exceptionally clear manner (100%)Describes the direction, strength of correlation, and association between the variables (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include missing one or more of the following: direction, strength of correlation, or association between the variables (55%)Does not attempt criterion (0%)20Examine the Slope and InterceptExceeds proficiency in an exceptionally clear manner (100%)Draws conclusions from the slope and intercept in context, makes predictions, determines the value of only the land (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include missing one or more of the following: conclusions from the slope and intercept in context, predictions, or the value of only the land (55%)Does not attempt criterion (0%)20Determine the R-squared CoefficientExceeds proficiency in an exceptionally clear manner (100%)Determines the R-squared coefficient and explains it in context (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include an inaccurate determination of the R-squared coefficient or an explanation that is out of context (55%)Does not attempt criterion (0%)20]Conclusions: Reflect on the RelationshipExceeds proficiency in an exceptionally clear, insightful, or sophisticated manner (100%)Reflects on the relationship between square feet and sales price (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include a reflection on the relationship between variables that is missing components (55%)Does not attempt criterion (0%)20Articulation of ResponseExceeds proficiency in an exceptionally clear, insightful, sophisticated, or creative manner (100%)Clearly conveys meaning with correct grammar, sentence structure, and spelling, demonstrating an understanding of audience and purpose (85%)Shows progress toward proficiency, but with errors in grammar, sentence structure, and spelling, negatively impacting readability (55%)Submission has critical errors in grammar, sentence structure, and spelling, preventing understanding of ideas (0%)10Tota
3 pages
Module 1 Discussion Statistics In Everyday Life
I experience statistics in my everyday life not only in my place of work but also in my personal life. It is impossible to ...
Module 1 Discussion Statistics In Everyday Life
I experience statistics in my everyday life not only in my place of work but also in my personal life. It is impossible to do away with statistics or ...
Spicy Wings Case, Use descriptive statistics to compute a measure of performance John can use to analyze his delivery performance
Assignment StepsResources: Microsoft Excel®, Spicy Wings Case Study, Spicy Wings Data SetDevelop a 700-word statistical a ...
Spicy Wings Case, Use descriptive statistics to compute a measure of performance John can use to analyze his delivery performance
Assignment StepsResources: Microsoft Excel®, Spicy Wings Case Study, Spicy Wings Data SetDevelop a 700-word statistical analysis.Use descriptive statistics to compute a measure of performance John can use to analyze his delivery performance. Find the following for your measures:MeanStandard deviationSample sizeFive-number summary on the total timeConduct a formal hypothesis testing to help John decide whether to offer the delivery guarantee or not.Estimate the probability of an order taking longer than 30 minutes.Make a recommendation in a short narrative including the following:Based on the sampled data, should John offer the guarantee?What percent of the Saturday deliveries would result in a customer receiving a free order?What recommendations might help John improve his Saturday delivery times?Format your assignment consistent with APA format.
Walden University High School Longitudinal Study Dataset Discussion
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. ...
Walden University High School Longitudinal Study Dataset Discussion
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another. To prepare for this Discussion: Review this week’s Learning Resources and media program related to multiple regression. Create a research question using the Afrobarometer Dataset or the HS Long Survey Dataset, that can be answered by multiple regression. Use SPSS to answer the research questions. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES. What is your research question? What is the null hypothesis for your question? What research design would align with this question? What dependent variable was used and how is it measured? What independent variables are used and how are they measured? What is the justification for including these predictor variables? If you found significance, what is the strength of the effect? Explain your results for a lay audience, explain what the answer to your research question. Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.Learning ResourcesRequired ReadingsFrankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.Chapter 12, “Regression and Correlation” (pp. 401-457) (previously read in Week 8)Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.Chapter 8, "Correlation and Regression Analysis"Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, and 8)Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210For help with this week’s research, see this Course Guide and related weekly assignment resources.Document: Walden University: Research Design Alignment TableRequired MediaLaureate Education (Producer). (2016g). Multiple regression [Video file]. Baltimore, MD: Author.Note: The approximate length of this media piece is 7 minutes.In this media program, Dr. Matt Jones demonstrates multiple regression using the SPSS software.Accessible player --Downloads-- Download Video w/CC Download Audio Download Transcript Optional ResourcesSkill Builder: Interpreting the Results from Regression ModelsTo access these Skill Builders, navigate back to your Blackboard Course Home page, and locate “Skill Builders” in the left navigation pane. From there, click on the relevant Skill Builder link for this week. You are encouraged to click through these and all Skill Builders to gain additional practice with these concepts. Doing so will bolster your knowledge of the concepts you’re learning this week and throughout the course.
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