Description
Overview
Access the following to complete this Assessment:
ST3003 Rubric
ST3003 Assessment Template
Research Article PDF
For this Performance Task, you will compute confidence intervals and hypothesis tests for normal distributions. You will be assessed on the Professional Skills of Written Communication, Interpreting Data & Quantitative Fluency, and Technology. To make certain you are addressing all aspects of the Professional Skills, please review the rubric to determine what is necessary for meeting the requirements. Visit the Professional Skills resources, as needed. Your response to this Performance Task should reflect the criteria provided in the rubric and adhere to the required length.
Instructions
To complete this Assessment, do the following:
Be sure to adhere to the indicated assignment length.
Before submitting your Assessment, carefully review the rubric. This is the same rubric the SME will use to evaluate your submission and it provides detailed criteria describing how to achieve or master the Competency. Many students find that understanding the requirements of the Assessment and the rubric criteria help them direct their focus and use their time most productively.
IMPORTANT INFORMATION ON INTERPRETING THE ASSESSMENT RUBRIC (CLICK TO EXPAND)
Rubric
All submissions must follow the conventions of scholarly writing. Properly formatted APA citations and references must be provided where appropriate. Submissions that do not meet these expectations will be returned without scoring.
This Assessment requires submission of two (2) files. The first file is completed on the provided template and includes the two parts. Save your file as follows:
ST3003_firstinitial_lastname _project (e.g., ST3003_J_Smith)
The second file should is your excel file where all computations are completed for the assessment. Save this file as
ST3003_firstinitial_lastname_excelwork (e.g., ST3003_J_Smith)
When you are ready to upload your completed Assessment, select Submit Attempt.
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Click each of the items below for more information on this Assessment.
PART 1: CONFIDENCE INTERVALS IN RESEARCH
This part will make use of the following article, which explores how prevalent depression, anxiety, and stress are in healthcare workers at COVID 19 isolation sites in Botswana:
Siamisang, K., Kebadiretse, D., Tjirare, L. T., Muyela, C., Gare, K., & Masupe, T. (2022). Prevalence and predictors of depression, anxiety and stress among frontline healthcare workers at COVID-19 isolation sites in Gaborone, Botswana. PLoS ONE, 17(8), e0273052. https://doi.org/10.1371/journal.pone.0273052
Table 3 of the journal article displays the number of healthcare workers who report various levels of depression, anxiety, and stress. These numbers are presented as the number of workers as well as the percent of the total (447). Confidence intervals are given for each percentage value. Choose one level of either depression, anxiety, or stress (e.g., normal depression) to use to address the following questions.
Show how the given percentage was derived based on the sample data.
Write 1–2 sentences explaining how the confidence interval would be interpreted.
Based on this interval, provide one value that could be considered reasonable as the true population proportion and one that would not be considered reasonable as the true population proportion. Fully explain your reasoning.
If a subsequent study was completed that increased the sample size to 1,000 participants, explain one change you would expect to see in the confidence intervals. Explain why you feel this change would occur.
Table 1 of this journal article provides a breakdown of characteristics of the 447 participants in this study. The number of participants is given followed by the percentage in ().
Provide one reason why you believe a confidence interval was not presented for this data.
PART 2: USING THE NORMAL DISTRIBUTION
Open the Body Data file created in ST3001 and use this to address the following questions.
Given that BMI is approximately normally distributed, present the following summary statistics for BMI of smokers and nonsmokers (Hint: Think about ST3001.).
Smokers
Nonsmokers
Mean
Standard deviation
Sample size (n)
Use this table to answer the following questions based on your individual data. For each part, write a 1-sentence explanation as to how Excel was used to assist you in your computations.
Find the percent of smokers expected to have a BMI of greater than 25 (overweight).
Find the percent of nonsmokers expected to have a BMI of less than 18.5 (underweight).
A normal BMI range is between 18.5 and 24.9. Shat percent of smokers are expected to be within this range? What percent of nonsmokers are expected to be within this range?
A researcher is interested in which BMI represents the 90th percentile (90% are at this BMI level or lower). What BMI score represents the 90th percentile cutoff rate?
PART 3: CREATING CONFIDENCE INTERVALS
Using the information from Part 2 above, calculate a 90%, 95%, and 99% confidence interval for both groups and complete the following table:
Group
90% confidence interval
95% confidence interval
99% confidence interval
Smokers
Nonsmokers
As the level of confidence increases, what happens to the width of the confidence interval: Does it increase or decrease? Explain one reason why this would happen.
Using the 95% confidence interval, compare the BMI of smokers vs. nonsmokers. Write a 2- to 3-sentence paragraph explaining whether these intervals overlap or not. What does that indicate about the differences in BMI between the two groups?
Explain in 1–2 sentences one situation in which you as a researcher might choose a 99% confidence interval or a 90% interval. Fully justify your choice.
