The weights to the nearest kilogram, of a group of 50 students in a College of Technology are given below:
65, 70, 60, 46, 51, 55, 59, 63, 68, 53, 47, 53, 72, 53, 67, 62, 64, 70, 57, 56, 73, 56, 48, 51, 58, 63, 65, 62, 49, 64, 53, 59, 63, 50, 48, 72, 67, 56, 61, 64, 66, 52, 49, 62, 71, 58, 53, 69, 63, 59.
(a) Prepare a grouped fraquency table with class intervals 45 - 49, 50 - 54, 55 - 59 etc.
(b) Using an assumed mean of 62 or otherwise, calculate the mean and standard deviation of the grouped data, correct to one decimal place.
(a)
| Class Interval | Tally | Freq |
| 45 - 49 | 6 | |
| 50 - 54 | 9 | |
| 55 - 59 | 10 | |
| 60 - 64 | 12 | |
| 65 - 69 | 7 | |
| 70 - 74 | 6 |
(b)
|
Class Interval |
Mid-value (x) |
x - 62 | \((x - 62)^{2}\) | \(f\) | \(f(x - 62)\) | \(f(x - 62)^{2}\) |
| 45 - 49 | 47 | -15 | 225 | 6 | -90 | 1350 |
| 50 - 54 | 52 | -10 | 100 | 9 | -90 | 900 |
| 55 - 59 | 57 | -5 | 25 | 10 | -50 | 250 |
| 60 - 64 | 62 | 0 | 0 | 12 | 0 | 0 |
| 65 - 69 | 67 | 5 | 25 | 7 | 35 | 175 |
| 70 - 74 | 72 | 10 | 100 | 6 | 60 | 600 |
| \(\sum\) | 50 | -135 | 3275 |
\(Mean (\bar{x}) = A + \frac{\sum f(x - A)}{\sum f}\)
= \(62 + \frac{-135}{50}\)
= \(62 - 2.7 = 49.3\)
Standard deviation = \(\sqrt{\frac{\sum f(x - A)}{\sum f}}\)
= \(\sqrt{\frac{3275}{50}}\)
= \(\sqrt{65.5}\)
= \(8.093 \approxeq 8.1\) (to 1 decimal place)
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