
a) Which of the two graphs presented above is constructed according to the principle of areas being proportional to frequencies? Do they visually convey the same information? Comment on what you may find misleading
b) Use the appropriate graph to compute the sample median with the information you have. Is the quantity you computed necessarily equal to the median in the raw data?
a) Which of the two graphs presented above is constructed according to the principle of areas being proportional to frequencies? Do they visually convey the same information? Comment on what you may find misleading
The graph a) is constructed as per the the proportional frequencies, since the sum of all frequencies in the second graph don't add up to 1.
They don't convey the same meaning by visual inspection. For instance, the frequencies in the 50-80 interval is 3 each but the height of the bars in the second graph doesn't correspond to this frequency when comparing the frequency of 30-40 class.
b). The total frequency is 30(by adding all the heights).
Therefore the median is
and this roughly falls in the class 50-60. Therefore the median
class is 50-60.The frequencies just above this is 13.
Therefor the median is =50+
The median =56.67.
This median so calculated will rarely be the same as that of the raw data since, it is derived from a frequency distribution.
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The frequency distribution is just given for information>
| LL | UL | Frequency | Cumulative frequency |
| 10 | 20 | 1 | 1 |
| 20 | 30 | 4 | 5 |
| 30 | 40 | 3 | 8 |
| 40 | 50 | 5 | 13 |
| 50 | 60 | 3 | 16 |
| 60 | 70 | 3 | 19 |
| 70 | 80 | 3 | 22 |
| 80 | 90 | 4 | 26 |
| 90 | 100 | 4 | 30 |
| Total | 30 |
a) Which of the two graphs presented above is constructed according to the principle of areas...
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