In this assignment, you will be required to use the Heart Rate Dataset to comple
ID: 2948028 • Letter: I
Question
In this assignment, you will be required to use the Heart Rate Dataset to complete the following:
Identify the types of data represented by variables
The range or types of values for each variable
Give a brief written description of the variables, and how they are used in the data set.
Steps
Open the Heart Rate Dataset in Excel
Identify each of the variables contained in the dataset by type
Identify the type of data each variable represents (e.g., qualitative or quantitative) and the possible values for each
Briefly describe how the variable is used in the dataset, (e.g., to identify a class, or to give a specific numeric value for an individual).
In this assignment, you will be required to use the Heart Rate Dataset to complete the following:
Identify the types of data represented by variables
The range or types of values for each variable
Give a brief written description of the variables, and how they are used in the data set.
Steps
Open the Heart Rate Dataset in Excel
Identify each of the variables contained in the dataset by type
Identify the type of data each variable represents (e.g., qualitative or quantitative) and the possible values for each
Briefly describe how the variable is used in the dataset, (e.g., to identify a class, or to give a specific numeric value for an individual).
Heart rate before and after exercise M=0 F=1 Resting After Exercise 0 85.9 87.5 0 67.7 79.4 0 80.3 93.4 0 85.2 97.7 0 86.3 99.7 0 76.6 83.7 0 94.4 101.9 0 86.4 100.6 0 83.4 97.4 0 89.8 97.4 0 88.7 97.1 0 78.4 87.2 0 71.3 79.9 0 92.6 104.7 0 86.2 95.9 0 83.9 93.9 0 78.1 90.1 0 64.0 70.7 0 72.8 86.7 0 72.7 81.2 0 80.2 83.3 0 78.2 86.0 0 70.6 90.2 0 75.5 84.4 0 82.7 94.2 0 87.7 95.1 0 80.0 88.7 0 73.4 82.7 0 89.5 94.6 0 77.6 84.6 0 76.6 86.4 0 85.6 96.2 0 74.2 82.1 0 79.0 91.6 0 74.6 86.7 0 88.8 98.8 0 82.1 85.6 0 77.6 80.6 0 77.9 83.8 0 88.1 93.9 0 81.6 90.3 0 91.2 100.6 0 80.3 88.0 0 76.7 91.8 0 88.4 103.0 0 75.2 86.5 0 75.2 84.9 0 73.1 71.9 0 77.0 84.7 0 59.0 68.2 0 84.9 96.0 0 87.5 105.9 0 75.6 84.3 0 84.0 90.4 0 78.2 94.0 0 86.6 90.6 0 84.9 95.1 0 78.8 90.4 0 69.4 82.6 0 78.3 91.1 0 76.9 92.3 0 84.2 87.9 0 76.3 85.9 0 86.3 99.7 0 72.3 80.9 0 81.8 93.8 0 92.8 99.8 0 74.8 90.2 0 91.7 99.2 0 71.0 87.0 0 96.1 100.2 0 82.5 95.1 0 81.9 97.5 0 89.7 94.8 0 81.4 100.9 0 74.8 94.0 0 88.1 102.1 0 69.2 81.4 0 78.8 90.9 0 85.3 94.2 0 74.8 81.3 0 77.7 89.9 0 78.0 89.8 0 80.5 95.3 0 75.4 84.8 0 81.5 84.2 0 73.9 85.2 0 69.4 74.1 0 89.4 96.7 0 70.9 82.0 0 82.9 90.2 0 89.6 106.7 0 74.5 75.6 0 92.3 102.2 0 87.7 98.0 0 78.9 89.7 0 79.8 81.5 0 85.5 97.4 0 87.3 94.1 0 77.8 97.8 0 71.0 80.1 0 82.5 90.7 0 74.8 83.7 0 69.2 79.4 0 80.5 87.4 0 89.4 99.2 0 74.5 88.0 0 85.5 92.0 1 76.6 88.2 1 79.2 90.4 1 80.6 101.3 1 75.5 93.1 1 83.9 90.5 1 73.9 89.1 1 76.8 90.8 1 85.2 93.5 1 82.1 93.5 1 76.3 87.0 1 97.0 104.5 1 81.5 86.5 1 65.3 86.3 1 80.8 86.7 1 78.5 89.9 1 86.3 97.6 1 89.8 92.9 1 87.8 98.5 1 76.2 89.9 1 74.2 88.8 1 67.4 78.8 1 75.5 80.2 1 80.0 90.2 1 76.4 88.0 1 94.9 95.7 1 89.2 96.9 1 83.3 87.7 1 85.8 90.4 1 75.3 84.1 1 77.9 99.0 1 70.0 83.0 1 88.0 94.2 1 86.9 95.0 1 87.1 95.9 1 79.3 82.7 1 81.2 90.7 1 82.9 91.9 1 87.4 103.6 1 83.0 90.0 1 76.8 83.3 1 76.9 87.7 1 79.8 88.2 1 83.2 93.0 1 79.5 88.6 1 82.4 89.3 1 80.8 84.2 1 83.2 94.5 1 71.6 81.5 1 82.8 93.1 1 76.8 92.8 1 93.2 100.4 1 91.4 100.9 1 97.3 103.3 1 88.3 90.1 1 80.6 85.2 1 87.4 91.7 1 96.5 99.3 1 77.9 91.6 1 76.1 84.1 1 85.2 89.7 1 68.6 72.8 1 79.4 92.0 1 85.2 99.2 1 74.3 85.6 1 74.3 89.2 1 78.5 98.5 1 80.4 90.8 1 82.9 85.9 1 78.9 90.7 1 78.6 87.0 1 87.5 93.9 1 78.9 91.4 1 80.0 89.1 1 80.4 89.2 1 88.3 93.5 1 80.6 95.9 1 85.8 90.5 1 84.6 93.0 1 80.5 91.8 1 92.4 101.2 1 84.4 96.7 1 82.3 86.9 1 77.2 85.8 1 83.3 82.1 1 86.2 98.9 1 81.3 97.7 1 90.2 96.4 1 78.4 85.5 1 84.7 101.6 1 89.7 94.3 1 78.4 88.0 1 79.9 88.5Explanation / Answer
Now,
Quantitative,continuous data
Data can be classified into 2 different types Qualitative values that can be sorted into groups of categories Quantitative values that can be measured. And these numbers can be placed in ascending or descending order. You can count but not order or measure nominal data. Ordinal valuesor observations can be ranked. Discrete data can take on only integer values continuous data can take on any value.