John is interested in determining if frequency of exercise affects pulse rate. John randomly samples individuals at a local gym to ask if they will participate in his study. 55 individuals agree, and they are divided into three groups of exercisers: 1 = high frequency, 2 = moderate frequency, 3 = low frequency. Next, John measures their pulse after their workout. Do pulse rates differ among individuals who exercise with high frequency versus those who exercise moderately versus those who exercise with low frequency?

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  1. John is interested in determining if frequency of exercise affects pulse rate. John randomly samples individuals at a local gym to ask if they will participate in his study. 55 individuals agree, and they are divided into three groups of exercisers: 1 = high frequency, 2 = moderate frequency, 3 = low frequency. Next, John measures their pulse after their workout. Do pulse rates differ among individuals who exercise with high frequency versus those who exercise moderately versus those who exercise with low frequency?
The dataset presented is organized in a tabular format, featuring various attributes related to individuals' physical and lifestyle variables. Below is a detailed description of each column in the table:

1. **Height**: Measured in centimeters.
2. **Weight**: Measured in kilograms.
3. **Age**: Indicated in years.
4. **Gender**: Represented numerically where 1 may signify male and 2 female (The actual representation should be confirmed based on context).
5. **Smokes**: Indicates smoking status with possible binary values such as 1 (no) and 2 (yes).
6. **Alcohol**: Indicates alcohol consumption with similar binary values.
7. **Exercise**: Exercise frequency, possibly quantified where 1 might mean regular exercise and 2 less frequent.
8. **Ran**: Indicates if the individual participated in a running exercise, with binary values (1 for yes, 2 for no).
9. **Pulse1**: Represents a pulse rate measurement taken initially.
10. **Pulse2**: Represents a second pulse rate measurement taken after some activity.

Each row in the table corresponds to a single individual, capturing their respective data across these variables. The table provides a comprehensive overview of how these attributes might correlate, useful for analyzing trends related to lifestyle choices and their impact on physical health measurements.
Transcribed Image Text:The dataset presented is organized in a tabular format, featuring various attributes related to individuals' physical and lifestyle variables. Below is a detailed description of each column in the table: 1. **Height**: Measured in centimeters. 2. **Weight**: Measured in kilograms. 3. **Age**: Indicated in years. 4. **Gender**: Represented numerically where 1 may signify male and 2 female (The actual representation should be confirmed based on context). 5. **Smokes**: Indicates smoking status with possible binary values such as 1 (no) and 2 (yes). 6. **Alcohol**: Indicates alcohol consumption with similar binary values. 7. **Exercise**: Exercise frequency, possibly quantified where 1 might mean regular exercise and 2 less frequent. 8. **Ran**: Indicates if the individual participated in a running exercise, with binary values (1 for yes, 2 for no). 9. **Pulse1**: Represents a pulse rate measurement taken initially. 10. **Pulse2**: Represents a second pulse rate measurement taken after some activity. Each row in the table corresponds to a single individual, capturing their respective data across these variables. The table provides a comprehensive overview of how these attributes might correlate, useful for analyzing trends related to lifestyle choices and their impact on physical health measurements.
The image displays a table of numerical data organized in rows and columns. Here’s a transcription of the content, formatted for educational purposes:

| Row | Col1 | Col2 | Col3 | Col4 | Col5 | Col6 | Col7 | Col8 | Col9 | Col10 | Col11 | Col12 |
|-----|------|------|------|------|------|------|------|------|------|-------|-------|-------|
| 45  | 170  | 60   | 19   | 2    | 2    | 1    | 2    | 2    | 80   | 80    |       |       |
| 46  | 162  | 60   | 19   | 2    | 2    | 1    | 2    | 2    | 66   | 60    |       |       |
| 47  | 164  | 46   | 18   | 2    | 2    | 2    | 2    | 2    | 104  | 96    |       |       |
| 48  | 171  | 70   | 26   | 2    | 2    | 2    | 2    | 2    | 76   | 76    |       |       |
| 49  | 182  | 85   | 20   | 1    | 1    | 1    | 3    | 2    | 70   | 68    |       |       |
| 50  | 174  | 60   | 19   | 2    | 1    | 3    | 1    | 1    | 66   | 89    |       |       |
| 51  | 167  | 70   | 22   | 1    | 1    | 1    | 3    | 2    | 92   | 84    |       |       |
| 52  | 157  | 41   | 20   | 2    | 2    | 2    | 1    | 2    | 70   | 95    |       |       |
| 53  | 183  | 73   | 20
Transcribed Image Text:The image displays a table of numerical data organized in rows and columns. Here’s a transcription of the content, formatted for educational purposes: | Row | Col1 | Col2 | Col3 | Col4 | Col5 | Col6 | Col7 | Col8 | Col9 | Col10 | Col11 | Col12 | |-----|------|------|------|------|------|------|------|------|------|-------|-------|-------| | 45 | 170 | 60 | 19 | 2 | 2 | 1 | 2 | 2 | 80 | 80 | | | | 46 | 162 | 60 | 19 | 2 | 2 | 1 | 2 | 2 | 66 | 60 | | | | 47 | 164 | 46 | 18 | 2 | 2 | 2 | 2 | 2 | 104 | 96 | | | | 48 | 171 | 70 | 26 | 2 | 2 | 2 | 2 | 2 | 76 | 76 | | | | 49 | 182 | 85 | 20 | 1 | 1 | 1 | 3 | 2 | 70 | 68 | | | | 50 | 174 | 60 | 19 | 2 | 1 | 3 | 1 | 1 | 66 | 89 | | | | 51 | 167 | 70 | 22 | 1 | 1 | 1 | 3 | 2 | 92 | 84 | | | | 52 | 157 | 41 | 20 | 2 | 2 | 2 | 1 | 2 | 70 | 95 | | | | 53 | 183 | 73 | 20
Expert Solution
Step 1

Given Information:

Consider the given information in which John is interested if the frequency of exercise affects pulse rate. The data is divided into three groups 1 = high frequency, 2 = moderate frequency, 3 = low frequency. We will only take the data as per the given requirement. The pulse rate for the three groups are:

High Moderate Low
96 86 90
71 82 78
68 68 74
76 71 77
78 88 64
56 70 88
  69 70
  80 78
  83 81
  78 74
  80 80
  68 84
  70 70
  62 66
  78 92
  86 76
  59  
  68  
  75  
  60  
  70  
  58  
  84  
  104  
  66  
  65  
  80  
  66  
  104  
  76  
  70  
  63  
  65  
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