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next, we will add relative frequency to our frequency table.
recall that relative frequency ( = \frac{f}{n} ), where ( f ) is the class frequency and ( n ) is the total sample size.
there are 50 data values, so the total sample size is 50. therefore, to find relative frequency, divide each class frequency by 50.
complete the table.
| class limits | frequency | relative frequency |
|---|---|---|
| 39 – 49 | 21 | ( \frac{21}{50} = square ) |
| 50 – 60 | 19 | ( square ) |
| 61 – 71 | 1 | ( square ) |
| 72 – 82 | 2 | ( square ) |
Step1: Calculate for 39 - 49
Divide frequency (21) by total (50).
$\frac{21}{50} = 0.42$
Step2: Calculate for 50 - 60
Divide frequency (19) by total (50).
$\frac{19}{50} = 0.38$
Step3: Calculate for 61 - 71
Divide frequency (1) by total (50).
$\frac{1}{50} = 0.02$
Step4: Calculate for 72 - 82
Divide frequency (2) by total (50).
$\frac{2}{50} = 0.04$
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For 39 - 49: 0.42
For 50 - 60: $\frac{19}{50} = 0.38$
For 61 - 71: $\frac{1}{50} = 0.02$
For 72 - 82: $\frac{2}{50} = 0.04$