In a large population of college-educated adullts, the IQ scores are normally distributed with a mean of 118 and standard deviation 20. Suppose 100 adults from this population are randomly selected for a market research campaign. The probability that the sample mean IQ is greater than 120 is closest to ________

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Answer:

0.1587 is the probability that the sample mean of 100 randomly selected adult's IQ is greater than 120.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 118

Standard Deviation, σ = 20

n = 100

We are given that the distribution of IQ scores is a bell shaped distribution that is a normal distribution.

Formula:

[tex]z_{score} = \displaystyle\frac{x-\mu}{\frac{\sigma}{\sqrt{n}}}[/tex]  

P( IQ is greater than 120)

P(x > 120)

[tex]P( x > 120) = P( z > \displaystyle\frac{120 - 118}{\frac{20}{\sqrt{100}}}) = P(z > 1)[/tex]

[tex]= 1 - P(z \leq 1)[/tex]

Calculation the value from standard normal z table, we have,  

[tex]P(x > 120) = 1 - 0.8413 = 0.1587 = 15.87\%[/tex]

0.1587 is the probability that the sample mean of 100 randomly selected adult's IQ is greater than 120.

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