The table below shows the distribution of ages of workers in a company.
Age/ yr | 17 – 21 | 22 – 26 | 27 – 31 | 32 – 36 | 37 – 41 | 42 – 46 | 47 – 51 | 52 – 56 |
Workers | 12 | 24 | 30 | 37 | 45 | 25 | 10 | 7 |
(a) Using an assumed mean of 39, calculate the (i) mean (ii) standard deviation; of the distribution.
(b) If a worker is selected at random from the company for an award, what is the probability that he is at most 36 years old?
Explanation
Age (in years) |
No of workers |
Mid-point (x) | (d = x – A) | (d^{2}) | (fd^{2}) | (fd) |
17 – 21 | 12 | 19 | -20 | 400 | 4800 | -240 |
22 – 26 | 24 | 24 | -15 | 225 | 5400 | -360 |
27 – 31 | 30 | 29 | -10 | 100 | 3000 | -300 |
32 – 36 | 37 | 34 | -5 | 25 | 925 | -185 |
37 – 41 | 45 | 39 | 0 | 0 | 0 | 0 |
42 – 46 | 25 | 44 | 5 | 25 | 625 | 125 |
47 – 51 | 10 | 49 | 10 | 100 | 1000 | 100 |
52 – 56 | 7 | 54 | 15 | 225 | 1575 | 105 |
Total | 190 | 17325 | -755 |
(a)(i) Mean, (bar{x}) = (A + frac{sum fd}{sum f})
= (39 + frac{-755}{190})
= (39 – 3.974 = 35.026)
(ii) Standard deviation (SD = sqrt{frac{sum fd^{2}}{N} – (frac{sum fd}{N})^{2}})
= (sqrt{frac{17325}{190} – (frac{-755}{190})^{2}})
= (sqrt{91.184 – (-3.974)^{2}})
(sqrt{91. 184 – 15.794} = sqrt{75.39})
= (8.68)
(b) Total number of workers = 190
No of workers who are at most 36 years old = 12 + 24 + 30 + 37 = 103
p(award to a person at most 36 years old) = (frac{103}{190})
= 0.542