HUO Confidence Intervals for Quantitative Variables in The Heart Rate Dataset Essay

User Generated

xrnefgba37

Health Medical

Herzing University Online

Description

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 variables
  2. 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 head
  • A title page with
    • Assignment name
    • Your name
    • Professor’s name
    • Course

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Explanation & Answer

Attached.

Running head: CONFIDENCE INTERVALS

1

Confidence Intervals
Student’s Name
Institutional Affiliation
Course
Date

2

CONFIDENCE INTERVALS
Confidence Intervals
The confidence interval at 95% are tabulated as follows:

Count
mean
Interval of confidence at 95.% lower
Interval of Confidence at 95.% upper
error margin
t(df=106)

Count
mean
Interval of confidence at 95.% lower
Interval of Confidence at 95.% upper
error margin
t(df=92)

Male at Rest
109
80.375
79.041
81.731
1.344
1.981

Female at rest
91
81.771...


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