The problem is to find the mean of a grouped data set. We are given the sales intervals, relative frequencies, frequencies, and midpoints ($x$) for each interval. The following table is provided: | Sales | Relative Frequency | Frequency ($f$) | Midpoint ($x$) | |---|---|---|---| | 75-80 | 0.09 | 9 | 77.5 | | 80-85 | 0.12 | 21 | 82.5 | | 85-90 | 0.15 | 36 | 87.5 | | 90-95 | 0.11 | 47 | 92.5 | | 95-100 | 0.20 | 67 | 97.5 | | 100-105 | 0.20 | 87 | 102.5 | | 105-110 | 0.11 | 98 | 107.5 | | 110-115 | 0.2 | 108 | 112.5 |

Probability and StatisticsMeanGrouped DataFrequency DistributionStatistics
2025/3/12

1. Problem Description

The problem is to find the mean of a grouped data set. We are given the sales intervals, relative frequencies, frequencies, and midpoints (xx) for each interval. The following table is provided:
| Sales | Relative Frequency | Frequency (ff) | Midpoint (xx) |
|---|---|---|---|
| 75-80 | 0.09 | 9 | 77.5 |
| 80-85 | 0.12 | 21 | 82.5 |
| 85-90 | 0.15 | 36 | 87.5 |
| 90-95 | 0.11 | 47 | 92.5 |
| 95-100 | 0.20 | 67 | 97.5 |
| 100-105 | 0.20 | 87 | 102.5 |
| 105-110 | 0.11 | 98 | 107.5 |
| 110-115 | 0.2 | 108 | 112.5 |

2. Solution Steps

To find the mean of the grouped data, we can use the formula:
Mean=(fx)f\text{Mean} = \frac{\sum (f \cdot x)}{\sum f}
where ff is the frequency of each interval and xx is the midpoint of each interval.
First, calculate fxf \cdot x for each interval:
* 75-80: 977.5=697.59 \cdot 77.5 = 697.5
* 80-85: 2182.5=1732.521 \cdot 82.5 = 1732.5
* 85-90: 3687.5=315036 \cdot 87.5 = 3150
* 90-95: 4792.5=4347.547 \cdot 92.5 = 4347.5
* 95-100: 6797.5=6532.567 \cdot 97.5 = 6532.5
* 100-105: 87102.5=8917.587 \cdot 102.5 = 8917.5
* 105-110: 98107.5=1053598 \cdot 107.5 = 10535
* 110-115: 108112.5=12150108 \cdot 112.5 = 12150
Sum of fxf \cdot x:
(fx)=697.5+1732.5+3150+4347.5+6532.5+8917.5+10535+12150=47162.5\sum (f \cdot x) = 697.5 + 1732.5 + 3150 + 4347.5 + 6532.5 + 8917.5 + 10535 + 12150 = 47162.5
Next, calculate the sum of the frequencies:
f=9+21+36+47+67+87+98+108=473\sum f = 9 + 21 + 36 + 47 + 67 + 87 + 98 + 108 = 473
Finally, calculate the mean:
Mean=47162.5473=99.709302325581499.71\text{Mean} = \frac{47162.5}{473} = 99.7093023255814 \approx 99.71
The provided image states that SF=465SF = 465 and Sfx=47162.5Sfx = 47162.5. SFSF is incorrect, it should be 473 instead.
Using SF=473SF=473:
Mean = 47162.5/473=99.709302325581447162.5 / 473 = 99.7093023255814
Mean \approx 99.71

3. Final Answer

The mean is approximately 99.
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