In: Math
Here is a random sample of the body temperature of 25 young adults.
96 | 96.6 | 96.7 | 96.9 | 97 |
97.1 | 97.1 | 97.2 | 97.3 | 97.4 |
97.4 | 97.7 | 97.7 | 97.7 | 97.8 |
97.9 | 98 | 98 | 98.2 | 98.2 |
98.3 | 98.3 | 98.7 | 98.8 | 98.9 |
Complete the relative frequency distribution table.
Temperature Group | Frequency | Relative Frequency | Cumulative |
---|---|---|---|
96 ≤ x < 96.41 | 1 | 1/25 | |
96.41 ≤ x < 96.82 | 2 | 2/25 | |
96.82 ≤ x < 97.23 | 5 | 5/25 | |
97.23 ≤ x < 97.64 | 3 | 3/25 | |
97.64 ≤ x < 98.05 | 7 | 7/25 | |
98.05 ≤ x < 98.46 | 4 | 4/25 | |
98.46 ≤ x < 98.87 | 2 | 2/25 | |
98.87 ≤ x < 99.28 | 1 | 1/25 |
Steps to do the problem
1. Arrange the dataset in ascending order.
2. Look at the first interval and check how many points in the dataset lies in that interval. Note that number under frequency.
3. Relative frequency = Frequency in a class / Divide by total number of data points.
4. Cumulative frequency = Add each frequency one after an other as shown below