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The mean weight of an adult is 6565 kilograms with a standard deviation of 1313 kilograms. If 9292 adults are randomly selected, what is the probability that the sample mean would be greater than 62.762.7 kilograms

1 Answer

7 votes

Answer: 0.9554

Explanation:

Let
\overline{X} be the sample mean.

Given: Mean weight
(\mu) of an adult is 65 kilograms with a standard deviation
(\sigma) of 13 kilograms.

Sample space = 92

The probability that the sample mean would be greater than 62.7 kilograms:


P(\overline{X}>62.7)=P(\frac{\overline{X}-\mu}{(\sigma)/(√(n))}>(62.7-65)/((13)/(√(92))))\\\\=P(Z>-1.70)\\\\=P(Z<1.70)\ \ \ \[P(Z>-z)=P(Z<z)]\\\\=0.9554[ By p-value table]

Hence, the required probability= 0.9554

User Drathier
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