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Deliverable 7 - Statistical Analysis Report item options Assignment Content

Competencies

Describe the data using the measures of central tendency and measures of variability.
Apply the normal distribution, standard normal distribution, and central limit theorem.
Develop a confidence interval for a population parameter.
Evaluate hypothesis tests for population parameters from one population.
Evaluate hypothesis tests for population parameters from two populations.
Determine the linear correlation and regression equation between two variables to make predictions for the dependent variable.

Student Success Criteria
View the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.

Instructions
You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager, and together you work to use statistical analysis to look more closely at the ages of these patients.

You do some research and put together a spreadsheet of the data that contains the following information
Client number
Infection disease status
Age of the patient

Deliverable 7 - Statistical Analysis Report.xlsx

You are to put together a PowerPoint presentation that explains the analysis of your findings which you will submit to your manager. The presentation should contain all components of your findings. For review, the components of the report should include:

Brief overview of the scenario and variables in the data set
Discussion, calculation, and interpretation of the mean, median, mode, range, standard deviation, and variance
Discussion, construction, and interpretation of the 95% confidence interval
Explanation of the full hypothesis test
Conclusion

The calculations should be performed in your spreadsheet that you will also submit to your manager. You can find additional information on what to add to your PowerPoint presentation in this Word document.

Deliverable 7 - PowerPoint Instructions.docx

Use the questions in the Word document as your guide for the contents of your presentation.

For your final deliverable, submit your PowerPoint presentation and the Excel workbook showing your work. Do not submit your Word document.

Deliverable 6 - Analysis with Correlation and Regression item options
Assignment Content

Competency
Determine the linear correlation and regression equation between two variables to make predictions for the dependent variable.

Student Success Criteria
View the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.

Scenario
According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).

As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.

Concepts Being Studied
Correlation and regression
Creating scatterplots
Constructing and interpreting a Hypothesis Test for Correlation using r as the test statistic

You are given a spreadsheet that contains the following information:

Magnitude measured on the Richter scale
Depth in km

Deliverable 6 - Analysis with Correlation and Regression.xlsx

Using the spreadsheet, you will answer the problems below in a PowerPoint presentation.

What to Submit
The PowerPoint Assignment presentation should answer and explain the following questions based on the spreadsheet provided above.

Slide 1: Title slide

Slide 2: Introduce your scenario and data set including the variables provided.

Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.

Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.

Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.

Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.

Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.

Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.

Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
This assignment falls under the inferential section of your online statistics class. My Course Tutor experts are competent at handling such assignments. The firs step in handling a statistics assignment is to understand the nature of the data, and to review the possible category of data analysis methods within which hypothesis testing falls. The excel file for this assignment has been attached.

Deliverable 6 - Analysis with Correlation and Regression.xlsx

Deliverable 5 - Hypothesis Tests for Two Samples item options
Assignment Content

Competency
Evaluate hypothesis tests for population parameters from two populations.

Dealing with Two Populations
Inferential statistics involves forming conclusions about a population parameter. We do so by constructing confidence intervals and testing claims about a population mean and other statistics. Typically, these methods deal with a sample from one population. We can extend the methods to situations involving two populations (and there are many such applications). This deliverable looks at two scenarios.

Concept being Studied
Your focus is on hypothesis tests and confidence intervals for two populations using two samples, some of which are independent and some of which are dependent. These concepts are an extension of hypothesis testing and confidence intervals which use statistics from one sample to make conclusions about population parameters.

Student Success Criteria
View the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.

What to Submit
Your research and analysis should be presented on the spreadsheet provided.

Deliverable 5 - Hypothesis Tests for Two Samples.xlsx

In order to successfully complete this problem, one would need to use the seven hypothesis testing steps included in our other statistics-related assignment. The relevant files associated with this assignment have been attached to this post. A guide for completing this assignment have been prepared by our statistics assignment experts.

Hypothesis test for two samples example.docx

Deliverable 4 - Hypothesis Test
Assignment Content

Competency
Evaluate hypothesis tests for population parameters from one population.

Student Success Criteria
View the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.

Instructions
Scenario (information repeated for deliverable 01, 03, and 04)

A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:

A listing of the jobs by title
The salary (in dollars) for each job

Deliverable 4 - Hypothesis Tests.xlsx
In prior engagements, you have already explained to your client about the basic statistics and discussed the importance of constructing confidence intervals for the population mean. Your client says that he remembers a little bit about hypothesis testing, but he is a little fuzzy. He asks you to give him the full explanation of all steps in hypothesis testing and wants your conclusion about two claims concerning the average salary for all jobs in the state of Minnesota.

Background information on the Data
The data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.

What to Submit
Your boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.

Hypothesis testing is a statistical procedure that requires one to test a claim or claims about a population systematically. My Course Tutor experts have mastered the art of conducting hypothesis testing using the seven hypothesis testing steps. We have attached the hypothesis testing steps below for you to review. The excel file containing the instructions required for you to complete this assignment successfully has also been attached. Note that My Course Tutor offers help in Excel assignments under the SPSS and data analysis services category. You can email or WhatsApp us in case you need help with this assignment.

Hypothesis testing steps explained.docx
statistics hypothesis testing assignment help.xlsx

Deliverable 3 - Confidence Intervals
Assignment Content

Competency
Develop a confidence interval for a population parameter.

Student Success Criteria
View the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.

Instructions
Scenario (information repeated for deliverable 01, 03, and 04)

A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:

A listing of the jobs by title
The salary (in dollars) for each job

Deliverable 3 - Confidence Intervals.xlsx

You have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals.

Background information on the Data
The data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.

What to Submit
Your boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.
Note that the excel file attached contains the necessary steps for completing the assignment. Your success in this assignment depends on how you address the assignment's requirements, and whether you show the steps in the calculations. My Course Tutor Experts are available to help you with the assignment under the statistics assignment help category. We ensure that you get the highest grade in all statistics assignments we help you with.

Deliverable 3 - Confidence Intervals.xlsx