The lengths of adult males' hands are normally distributed with mean 192 mm and standard deviation is 7.4 mm. Suppose that 40 individuals are randomly chosen. Round all answers to 4 where possible.
Central Limit Theorem for mean:
If a random sample of size n is taken from a population having mean µ and standard deviation σ then, as the sample size increases, the sample mean approaches the normal distribution with mean µ and standard deviation σ/sqrt(n).
1.
Finding the distribution of X-bar:
It is given that the lengths of adults’ male hands follows normal distribution with mean 192mm and standard deviation 7.4mm.
That is, µ= 192, σ = 7.4.
Random samples of 40 (n) individuals is considered.
Denote the random variable X as the length of hand for a randomly selected individual.
By central limit theorem for mean, the average hand length follows a normal distribution with mean μ = 192 and standard deviation 7.4/sqrt (40) = 1.1700.
Thus, the distribution of X-bar ~ N(192,1.17).
2.
Finding the probability that the average hand length is more than 193:
The probability that the aver...
P(X>193)1-P(X< 193) =1-0.8036 Using the EXCEL formulae: NORM.DIST (193,192,1.17,1) -0.1964
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