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In this assignment, you will calculate confidence intervals for the quantitative variables in the Heart Rate Dataset.
Steps
1. Open the Heart Rate Dataset in Excel and identify the quantitative variables2. Make sure the data is sorted by category (e.g.male-at-rest, female at-rest, etc.)3. Use the Data Analysis tools of Excel to construct 95% and 99% confidence intervals for all 8 categories of the sorted quantitative variables. Excel will calculate the margin of error given as the "confidence interval" in the output. Use this margin of error to create your 8 confidence intervals by both adding and subtracting it from the sample mean (calculated in unit 3). This creates a range of values that is the confidence interval.4. Create a Word document, and use your calculated results to explain what the confidence intervals tell us.5. Compare the 99% and 95% intervals and explain why one is larger than the other even though we use the same sample mean value.
Additional Instructions:
Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must include
Running headA title page withAssignment nameYour nameProfessor's nameCourse
Attachment:- Assignment.rar
Verified Expert
This task provides a clear working example on descriptive statistics and confidence intervals.The width of the confidence interval (on keeping sample size and standard deviation as constant) depends on the confidence level used.Increase in confidence level will certainly increase the width of the confidence interval.
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