Pulse Rate (bpm) 101 66 78 103 80 58 86 93 80 64 44 45 96 77 93 62 88 67 73 81 103 90 62 88 66 105 100 105 88 89 76 47 83 77 94 85 79 76 78 47 100 49 69 86 70 58
Pulse Rate (bpm) 101 66 78 103 80 58 86 93 80 64 44 45 96 77 93 62 88 67 73 81 103 90 62 88 66 105 100 105 88 89 76 47 83 77 94 85 79 76 78 47 100 49 69 86 70 58
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
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Transcribed Image Text:### Pulse Rate Data Table
The table below presents measurements of pulse rates (in beats per minute, bpm) collected from a group of individuals. Each row represents a unique measurement for a person. The data is presented in two columns.
#### Columns:
- **First Column:** Pulse rate measurements that range between 44 and 103 bpm.
- **Second Column:** Pulse rate measurements that range between 45 and 105 bpm.
#### Data Points:
1. 101, 66
2. 78, 103
3. 80, 58
4. 86, 93
5. 80, 64
6. 44, 45
7. 96, 77
8. 93, 62
9. 88, 67
10. 73, 81
11. 103, 90
12. 62, 88
13. 66, 105
14. 100, 105
15. 88, 89
16. 76, 47
17. 83, 77
18. 79, 94
19. 76, 85
20. 78, 49
21. 47, 69
22. 100, 86
23. 70, 58
### Analysis:
This table can be used to analyze the variation and range of pulse rates among different individuals. It provides a simple dataset to understand how pulse rates can vary under different conditions or among different subjects. For educational purposes, this data can be used to teach statistical methods, such as calculating means, medians, and identifying outliers.
Transcribed Image Text:**Text for Educational Website:**
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**Understanding Pulse Rates: Hypothesis Testing**
**Objective:** Use the pulse rates in beats per minute (bpm) of a random sample of adult females to test the claim that the mean pulse rate is less than 86 bpm. For this hypothesis test, a significance level of 0.10 is used.
---
There is no accompanying graph or data set in the provided image. This text serves as an introduction to a lesson on hypothesis testing using real-world data, specifically focusing on analyzing pulse rates among adults. The goal is to determine if the average pulse rate of the sample is statistically lower than the specified value of 86 beats per minute.
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