Linear Combinations, Probability Modeling, and Parameter Estimation

Linear Combinations, Probability Modeling, and Parameter Estimation

12 marks

A survey is conducted in a large office building. It is found that \(30%\) of the office workers weigh less than \(62\) kg and that \(25\%\) of the office workers weigh more than \(98\) kg. The weights of the office workers may be modelled by a normal distribution with mean \(\mu \) and standard deviation \(\sigma \).

    1. Detemine two simulatneous linear equations satisfied by \(\mu \) and \(\sigma \).
    2. Find the values of \(\mu \) and \(\sigma \).[6]
  1. Find the probability that an office worker weighs more than \(100\) kg. [1]

There are elevators in the office building that take the office workers to their offices.

Given that there are \(10\) workers in a particular elevator,

  1. find the probability that at least four of the workers weigh more than \(100\) kg. [2]

Given that there are \(10\) workers in an elevator and at least one weight more than \(100\) kg,

  1. find the probability that there are fewer than four workers exceeding \(100\) kg. [3]

Solution:

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Answer:(a)(i) \(\mu-0.524400512\ldots\sigma=62\), \(\mu+0.674489750\ldots\sigma=98\). (a)(ii) \(\mu\approx77.7\) kg, \(\sigma\approx30.0\) kg. (b) \(0.229\) (c) \(0.178\) (d) \(0.808\), under the independent-occupant sampling model.

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