The dataset below represents resting heart rate values for individuals before and after a six week cardio training program. Does the cardio program reduce resting heart rate in participants? Jse Minitab to report your P value and your conclusion. ndividual Before After 89 88 100 98 93 92 76 70 78 76 80 78 68 68 87 85 72 71 81

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Topic Video
Question

please answer 

### Cardio Training Program Analysis

#### Introduction
The dataset presented represents resting heart rate values for individuals before and after a six-week cardio training program. The objective is to assess whether the cardio program effectively reduces the resting heart rate in participants. 

#### Dataset
The table below summarizes the resting heart rate values for each individual:

| Individual | Before | After |
|------------|--------|-------|
| 1          | 89     | 88    |
| 2          | 100    | 98    |
| 3          | 93     | 92    |
| 4          | 76     | 70    |
| 5          | 78     | 76    |
| 6          | 80     | 78    |
| 7          | 68     | 68    |
| 8          | 87     | 85    |
| 9          | 72     | 71    |
| 10         | 82     | 81    |

#### Analysis Instructions
1. **Use of Minitab**: Employ Minitab to perform a statistical analysis on this data.
2. **Determine P Value**: Calculate and report the P value.
3. **Conclusion**: Based on the P value, conclude whether the cardio program significantly reduces resting heart rate.

#### Graphical Representation
A suitable graph to visualize this data might be a paired bar chart showing the before and after heart rates for each individual. This visual can aid in a quick comparison and offer insights into the variations among different participants.

#### Conclusion
Finalize the conclusion based on the statistical analysis results. If the P value is less than the significance level (usually 0.05), you may reject the null hypothesis, suggesting that the cardio training program effectively reduces resting heart rate. Conversely, if the P value is greater than the significance level, you fail to reject the null hypothesis, indicating no significant reduction in resting heart rate due to the program.
Transcribed Image Text:### Cardio Training Program Analysis #### Introduction The dataset presented represents resting heart rate values for individuals before and after a six-week cardio training program. The objective is to assess whether the cardio program effectively reduces the resting heart rate in participants. #### Dataset The table below summarizes the resting heart rate values for each individual: | Individual | Before | After | |------------|--------|-------| | 1 | 89 | 88 | | 2 | 100 | 98 | | 3 | 93 | 92 | | 4 | 76 | 70 | | 5 | 78 | 76 | | 6 | 80 | 78 | | 7 | 68 | 68 | | 8 | 87 | 85 | | 9 | 72 | 71 | | 10 | 82 | 81 | #### Analysis Instructions 1. **Use of Minitab**: Employ Minitab to perform a statistical analysis on this data. 2. **Determine P Value**: Calculate and report the P value. 3. **Conclusion**: Based on the P value, conclude whether the cardio program significantly reduces resting heart rate. #### Graphical Representation A suitable graph to visualize this data might be a paired bar chart showing the before and after heart rates for each individual. This visual can aid in a quick comparison and offer insights into the variations among different participants. #### Conclusion Finalize the conclusion based on the statistical analysis results. If the P value is less than the significance level (usually 0.05), you may reject the null hypothesis, suggesting that the cardio training program effectively reduces resting heart rate. Conversely, if the P value is greater than the significance level, you fail to reject the null hypothesis, indicating no significant reduction in resting heart rate due to the program.
Expert Solution
steps

Step by step

Solved in 3 steps with 2 images

Blurred answer
Knowledge Booster
Research Design Formulation
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman