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the cost of ploughing in a square field is $2450 at the rate of $2/per100sq.meter. find the length of the side of the square.

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MIS445 Colorado State Google and Amazon Stock Return Analysis

In this CT assignment, we will use R software to analyze a dataset GoogleAmazonStock.xlsx.It contains daily closing stock ...

MIS445 Colorado State Google and Amazon Stock Return Analysis

In this CT assignment, we will use R software to analyze a dataset GoogleAmazonStock.xlsx.It contains daily closing stock prices for Google and Amazon from 8/22/2017 to 8/22/2018. When we examine stock prices (or other financial assets) we often transform them into a (simple) return series. The return series are computed by the formula: (present price/past price) - 1. The dataset contains both stock prices and return series.1. Using R, construct time series (line) plots for both stock prices and return series. R functions ts.plot or plot can create the plot. Describe the patterns and compare the plots. 2. Based on the return series, can we claim that the mean Amazon return series is higher than that of Google?a. What would be an appropriate test of the claim above? Explain. b. Write the null and alternative hypotheses. c. Using R, perform the test. d. Write the decision in the problem context.Take the screenshots of the R graphs and output as well as the code. Paste them into a Word document along with your answers to the questions above. Clearly label the questions and answers. Submit the Word file in Canvas.

SNHU Statistics Regional Real Estate Company Question

ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company� ...

SNHU Statistics Regional Real Estate Company Question

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. It states that the average cost per square foot of his home sales is above the 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. The average cost per square foot of his home sales is $275. In order to test his claim, you collect a sample of 1,001 home sales for the Pacific region.PromptDesign a hypothesis test and interpret the results using significance level α = .05.Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Exceland Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.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.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 275.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.Guidelines for SubmissionSubmit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.

4 pages

Normal Distribution Practice

There will be no enough space. We need 24 extra shelters (374-350) What will the number of shelter openings be needed?

Normal Distribution Practice

There will be no enough space. We need 24 extra shelters (374-350) What will the number of shelter openings be needed?

Colorado Technical University Healthcare Statistics & Research Project 4

Health care organizations such as Choice Hospital must keep up to
date with new initiatives related to reimbursement by ...

Colorado Technical University Healthcare Statistics & Research Project 4

Health care organizations such as Choice Hospital must keep up to
date with new initiatives related to reimbursement by third-party payers
for services provided. This is especially true for Medicare
reimbursement and initiatives tied to legislation such as the Affordable
Care Act and the 21st Century Cures Act. You are working with the chief financial officer and his team on two
types of statistics related to Medicare reimbursement initiatives:Medicare spending per beneficiary (MSPB)
Hospital readmission rates You will be working with the finance team to prepare a presentation
for the CEO and executive leadership team to help them understand these
requirements. Your presentation should be 5-7 slides (100-150 words per
slide, not including the title and reference slides) with APA
formatting. Cite at least 2 scholarly reference articles or government
publications that were published within the last 3-5 years.Your presentation should address the following for both the MSPB and hospital readmission rate statistics:Describe the Medicare program or initiative that uses the statistic.
Is it an incentive- or penalty-type program related to the rate of Medicare reimbursement?
Are the statistics and the program or initiative tied to performance, for example improving quality of care? If so, how?
Which legislation is authorizing the Centers for Medicare and Medicaid Services (CMS) to initiate these programs?
Define the statistic and how it is calculated.
Provide examples of these statistics from publications or
government sites. For many of the CMS initiatives, data for health care
institutions is made available through the CMS Hospital Compare Web
site. Cite all references using APA formatting.

PUB 550 GCU Simple Linear Regression Using SPSS Questions

The purpose of this assignment is to apply your understanding of simple and multiple linear regression.For this assignment ...

PUB 550 GCU Simple Linear Regression Using SPSS Questions

The purpose of this assignment is to apply your understanding of simple and multiple linear regression.For this assignment, use the "Example Dataset" to complete a simple linear regression using SPSS. Select one dependent variable, one primary independent variable, and one potential confounding variable. You will need to recode string variables into numeric variables to use them in the regression analysis. Prepare a Word document that includes all SPSS outputs.Based on the results, create a second Word document and answer the following questions in 500-750 words.State your research question and hypotheses.Run the regression again without the potential confounding variable and discuss the impact on the coefficient of the primary independent variable. Did it change? If so, to what extent did it change? Based on this, do you think the added variable confounds the association between the independent and dependent variables?Export both regression output tables as part of the Word document containing the SPSS outputs.Provide your regression equation based on the results of the full regression model.Interpret the results by (a) stating the reason the study or test was done; (b) presenting the main results, including coefficients on the main independent variable and significance levels; (c) explaining what the results mean; and (d) making suggestions for future research. Submit both Word documents to the instructor.APA style is not required, but solid academic writing is expected.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion

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Most Popular Content

MIS445 Colorado State Google and Amazon Stock Return Analysis

In this CT assignment, we will use R software to analyze a dataset GoogleAmazonStock.xlsx.It contains daily closing stock ...

MIS445 Colorado State Google and Amazon Stock Return Analysis

In this CT assignment, we will use R software to analyze a dataset GoogleAmazonStock.xlsx.It contains daily closing stock prices for Google and Amazon from 8/22/2017 to 8/22/2018. When we examine stock prices (or other financial assets) we often transform them into a (simple) return series. The return series are computed by the formula: (present price/past price) - 1. The dataset contains both stock prices and return series.1. Using R, construct time series (line) plots for both stock prices and return series. R functions ts.plot or plot can create the plot. Describe the patterns and compare the plots. 2. Based on the return series, can we claim that the mean Amazon return series is higher than that of Google?a. What would be an appropriate test of the claim above? Explain. b. Write the null and alternative hypotheses. c. Using R, perform the test. d. Write the decision in the problem context.Take the screenshots of the R graphs and output as well as the code. Paste them into a Word document along with your answers to the questions above. Clearly label the questions and answers. Submit the Word file in Canvas.

SNHU Statistics Regional Real Estate Company Question

ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company� ...

SNHU Statistics Regional Real Estate Company Question

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. It states that the average cost per square foot of his home sales is above the 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. The average cost per square foot of his home sales is $275. In order to test his claim, you collect a sample of 1,001 home sales for the Pacific region.PromptDesign a hypothesis test and interpret the results using significance level α = .05.Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Exceland Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.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.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 275.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.Guidelines for SubmissionSubmit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.

4 pages

Normal Distribution Practice

There will be no enough space. We need 24 extra shelters (374-350) What will the number of shelter openings be needed?

Normal Distribution Practice

Colorado Technical University Healthcare Statistics & Research Project 4

Health care organizations such as Choice Hospital must keep up to
date with new initiatives related to reimbursement by ...

Colorado Technical University Healthcare Statistics & Research Project 4

Health care organizations such as Choice Hospital must keep up to
date with new initiatives related to reimbursement by third-party payers
for services provided. This is especially true for Medicare
reimbursement and initiatives tied to legislation such as the Affordable
Care Act and the 21st Century Cures Act. You are working with the chief financial officer and his team on two
types of statistics related to Medicare reimbursement initiatives:Medicare spending per beneficiary (MSPB)
Hospital readmission rates You will be working with the finance team to prepare a presentation
for the CEO and executive leadership team to help them understand these
requirements. Your presentation should be 5-7 slides (100-150 words per
slide, not including the title and reference slides) with APA
formatting. Cite at least 2 scholarly reference articles or government
publications that were published within the last 3-5 years.Your presentation should address the following for both the MSPB and hospital readmission rate statistics:Describe the Medicare program or initiative that uses the statistic.
Is it an incentive- or penalty-type program related to the rate of Medicare reimbursement?
Are the statistics and the program or initiative tied to performance, for example improving quality of care? If so, how?
Which legislation is authorizing the Centers for Medicare and Medicaid Services (CMS) to initiate these programs?
Define the statistic and how it is calculated.
Provide examples of these statistics from publications or
government sites. For many of the CMS initiatives, data for health care
institutions is made available through the CMS Hospital Compare Web
site. Cite all references using APA formatting.

PUB 550 GCU Simple Linear Regression Using SPSS Questions

The purpose of this assignment is to apply your understanding of simple and multiple linear regression.For this assignment ...

PUB 550 GCU Simple Linear Regression Using SPSS Questions

The purpose of this assignment is to apply your understanding of simple and multiple linear regression.For this assignment, use the "Example Dataset" to complete a simple linear regression using SPSS. Select one dependent variable, one primary independent variable, and one potential confounding variable. You will need to recode string variables into numeric variables to use them in the regression analysis. Prepare a Word document that includes all SPSS outputs.Based on the results, create a second Word document and answer the following questions in 500-750 words.State your research question and hypotheses.Run the regression again without the potential confounding variable and discuss the impact on the coefficient of the primary independent variable. Did it change? If so, to what extent did it change? Based on this, do you think the added variable confounds the association between the independent and dependent variables?Export both regression output tables as part of the Word document containing the SPSS outputs.Provide your regression equation based on the results of the full regression model.Interpret the results by (a) stating the reason the study or test was done; (b) presenting the main results, including coefficients on the main independent variable and significance levels; (c) explaining what the results mean; and (d) making suggestions for future research. Submit both Word documents to the instructor.APA style is not required, but solid academic writing is expected.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion

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