P-values and confidence intervals are both used in hypothesis testing. Explain three reasons why it may be preferable to report a confidence interval over a P-value. Provide a specific example to justify your reasons.
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Compare the three types of t-tests by discussing when each is most appropriate to use and which types of questions each type of t-test best answers. Include specific examples to illustrate the appropriate use of each test.
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Describe a current problem facing your department, organization, or industry that would indicate the need for a simulation model. How best would this problem be solved by simulation versus the other modeling techniques covered in the course? Support your response with rationale from the readings.
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Review the Healthy People 2020 website. Identify one of the health issues and propose a scenario that would use a z-test as the first step in the six steps of hypothesis testing. Discuss the remaining five steps based on your scenario, including clearly articulating the null and alternative hypotheses for your scenario.
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Compare the various types of ANOVA by discussing when each is most appropriate for use and which types of research questions each best answers. Include specific examples to illustrate the appropriate use of each test and how interaction is assessed using ANOVA.
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PUB550 Week 2 Calculating Confidence Intervalsfor $14 Only
The purpose of this assignment is to practice calculating confidence intervals.
For this assignment, students will utilize Excel and SPSS Statistics and the “Example Dataset.”
Using the “Example Dataset,” complete the following:
Based on a normal distribution curve, calculate the probability of an individual being 60 years or older in this population. Show the Excel and SPSS formulas or your hand calculations. Include screenshots as needed to illustrate this.
Using the sample standard deviation of age as an estimate of the population standard deviation, calculate by hand the standard error of the mean. Show your calculations and the answer.
Calculate by hand a 95% confidence interval for “Age” based on the sample mean. Use SPSS to verify your answer. Include your calculations and screenshots of the SPSS output.
Interpret the confidence interval for age and explain the three pieces of information needed to calculate a confidence interval.
Submit one Word document that includes all of the assignment deliverables.
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.
You are not required to submit this assignment to LopesWrite.
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What are the economic costs of waiting lines? How might these costs be measured? What decision criteria can be used to justify expanding services to reduce waiting times?
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Mixed methods research is becoming an important approach in generating public health evidence. Based on the resources supplied, discuss the benefits of a mixed methods approach. Include an explanation of the differences between qualitative and quantitative research and the purpose of each.
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BUS660 Week 7 Benchmark Data Analysis Case Study for $17 Only
The purpose of this assignment is to apply a waiting line model to a business service operation in order to recommend the most efficient use of time and resources.
(This assignment has been adapted from Case Problem 2 in Chapter 15 of the textbook.)
Use the information in the scenario provided to prepare a managerial report for Office Equipment, Inc. (OEI).
Scenario
Office Equipment, Inc. (OEI) leases automatic mailing machines to business customers in Fort Wayne, Indiana. The company built its success on a reputation of providing timely maintenance and repair service. Each OEI service contract states that a service technician will arrive at a customer’s business site within an average of 3 hours from the time that the customer notifies OEI of an equipment problem.
Consider some of the examples you have brought up in earlier discussion forums about applying models to real-world problems. Choose one of the models covered earlier in the course and describe the key differences in solving a problem with that model versus with a simulation model. In your opinion, which is more effective? How does the problem at hand determine which type of model to use?
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The purpose of this assignment is to practice organizing data through ordering and grouping variables.
Data often appear disordered and it is difficult to see any connections or relationships. Ordering the data by certain variables or grouping variables into specific categories, such as age or sex categories, can help bring clarity to the data. Knowing how to organize data is an important skill to initiate the analytical process.
For this assignment, students will use Excel and SPSS Statistics to order variables. Using the “Example Dataset,” complete the steps below using both Excel and SPSS Statistics. View the Excel and SPSS tutorials for assistance in completing this assignment. Submit one Word document and include a screen shot of the data after completing the first two steps of Part 1 in Excel and SPSS to compare your results. Use a second Word document to complete Part 2 of the assignment.
Part 1: Ordering and Grouping Data Using Excel and SPSS
For Part 1, accomplish the following:
Order (sort) observations according to age.
Group observations by sex and investigate the age and income for males and females.
Create a new variable titled “Exercise Group” based on the variable “Minutes Exercise.” Use the following categories to create your groups: 1 = 0-30 minutes; 2 = 31-60 minutes; 3 = 61-90 minutes; 4 = 91-120 minutes; and 5 = 120+ minutes.
Part 2: Data Interpretation
Study the results of the dataset grouping and ordering. Discuss the following in a 500-750 word summary:
Describe the measurement levels for each of the variables in the dataset.
Discuss what you learned from ordering the data by age and why this information is important.
Describe the process you used to group the data in Excel and SPSS.
Describe what you learned by grouping the variables by category of exercise.
Are these data from a correlational study, experimental study, or quasi-experimental (observational) study? Discuss your rationale and identify a study question appropriate for this dataset.
General Requirements
Submit the Word document 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.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
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The central limit theorem is a key concept in inferential statistics. Access the Rice Virtual Lab in Statistics from the Topic Materials to observe the central limit theorem in action with different population distributions. Complete the “Sampling Distribution” simulation by clicking the “Begin” button. Refer to Chapter 5 “Worked Example 5.2” in the textbook when completing the simulation. Describe your observations and the results of increasing the individual sample size. Discuss the rationale behind the theorem, how the standard error is related to the theorem, and what the standard error indicates about sampling error.
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PUB550 Week 2 Practicing Application of Descriptive Statistics in Excel and SPSS for $14 Only
The purpose of this assignment is to compare basic functions in Excel and SPSS to calculate descriptive statistics and use this information to describe the sample.
For this assignment, students will utilize Excel with the Data Analysis ToolPak and SPSS Statistics and the “Example Dataset” to complete the assignment. Refer to the Topic Materials for assistance with enabling the Data Analysis ToolPak on a Mac or PC.
Part 1:
Complete the following steps in both Excel and IBM SPSS Statistics.
Discuss the four potential outcomes of hypothesis testing and describe what is meant by type 1 and type 2 errors. Provide an example of when these errors might occur.
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PUB550 Week 3 Hypothesis Testing for $11 Only(Instant Download)
Free Sample Answer Given Below
The purpose of this assignment is to evaluate the steps of hypothesis testing.
Hypothesis testing is a central component in understanding and interpreting public health research. Research questions are applied through a testable hypothesis established before the data is collected. It provides the rationale for the study and guides the researcher in what tests to use and how to interpret the results.
Identify a peer-reviewed article from one of the data sources available on the “Data Resource Document.” You will need to visit the various websites listed on the document to search for a research article that is of interest to you. Include the link to the selected article in a 750-1,000 word summary that address the following as it relates to the article.
1. What test statistic did the researchers use? What did the authors set as the significance level of the test statistic?
2. What was the null hypothesis? What was the alternative hypothesis? Were these clearly stated in the article, or did you have to extrapolate based on the background in the article?
3. Discuss potential bias that may have resulted from the study design and data collection that could have affected the validity of the test.
4. Summarize the story told by the data used in this study as it applies to the larger population
5. Comment on whether the authors used the interpretation approach discussed in the textbook, including (a) summarize why the study was done, (b) discuss the factual results, (c) explain what the results mean, and (d) make suggestions for future research.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
Sample Answer:
Test Statistics Used
……Shahoei, Zaheri, Nasab & Ranaei, (2017) researched on the effect of massaging the perineal muscles children delivery in Iran. Pregnant women often experience perineal trauma when the neonate’s head is exiting, thus calling for an episiotomy. Perineal injuries are followed by complications such as bleeding, hematoma, infection, vesicovaginal and rectovaginal fistulas urinary tract infections, and fecal incompetence. This research addresses the importance of perineal massage in preventing perineal laceration and episiotomy and pain severity in nulliparous women. The study, therefore, sought to determine the relationship between perineal massage and the severity of perineal pain, episiotomy, and perineal lacerations. The statistical hypothesis tests used in this study include the Chi-square, the t-test, and the Fisher test. The researcher set a significant value to be (p<0.05). The significant level determine the strengths of association……
Price of Answer: Just US$11 only (Instant Download)
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Step 2 of hypothesis testing involves reviewing the assumptions of the test you selected. Discuss the three assumptions of the t-test. Provide an example of the assumption that is not robust to violations and a situation when the assumption is violated.
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PUB550 Week 5 Application of ANOVA for $9 Only(Instant Download)
Free Sample Answer Given Below
The purpose of this assignment is to calculate and interpret an ANOVA table. For this assignment, use IBM SPSS Statistics.
Part 1:
Using the “Example Dataset,” assess this statement using ANOVA: “People with different levels of education exercise for different amounts of time during the week.”
Select and conduct the appropriate ANOVA test to assess the statement. Export the ANOVA table to a Word document.
Part 2:
In 250-500 words, discuss the following regarding the use of ANOVA.
1. Describe when the use of ANOVA is more appropriate than the use of a t-test.
2. Describe which ANOVA test you used and why.
3. Interpret the results by (a) stating the reason the study or test was done; (b) presenting the main results, including explaining the within and between subjects variation and the F-ratio from the ANOVA table; (c) explaining what the results mean, including discussing whether there is a statistically significant difference between education groups and amount of exercise; and (d) making suggestions for future research.
General Requirements
Submit one Word document for the Part 1 assignment content and a second Word document for Part 2 of the assignment. 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.
You are not required to submit this assignment to LopesWrite.
If you need any type of help regarding Homework, Assignments, Projects, Case study, Essay writing or anything else then just email us at [email protected]. We will get back to you ASAP. Do not forget to maintain the time frame you need your work to be done.
