Math  /  Data & Statistics

QuestionThe incomes in a certain large population of college teachers have a Normal distribution, with mean \75,000andstandarddeviation75,000 and standard deviation \10,000 10,000. Sixteen teachers are selected at random from this population to serve on a committee. What is the probability that their average salary is more than $77,500\$ 77,500 ? 0.8413 essentially 0 0.0228 0.1587

Studdy Solution

STEP 1

1. The distribution of incomes is Normal with mean μ=75,000\mu = 75,000 and standard deviation σ=10,000\sigma = 10,000.
2. We are selecting a sample of n=16n = 16 teachers.
3. We need to find the probability that the sample mean Xˉ\bar{X} is greater than \$77,500.

STEP 2

1. Determine the distribution of the sample mean.
2. Calculate the z-score for the sample mean.
3. Find the probability using the standard normal distribution.

STEP 3

The distribution of the sample mean Xˉ\bar{X} is Normal with mean μXˉ=μ=75,000\mu_{\bar{X}} = \mu = 75,000 and standard deviation σXˉ=σn=10,00016\sigma_{\bar{X}} = \frac{\sigma}{\sqrt{n}} = \frac{10,000}{\sqrt{16}}.
σXˉ=10,0004=2,500 \sigma_{\bar{X}} = \frac{10,000}{4} = 2,500

STEP 4

Calculate the z-score for Xˉ=77,500\bar{X} = 77,500.
z=XˉμXˉσXˉ=77,50075,0002,500 z = \frac{\bar{X} - \mu_{\bar{X}}}{\sigma_{\bar{X}}} = \frac{77,500 - 75,000}{2,500}
z=2,5002,500=1 z = \frac{2,500}{2,500} = 1

STEP 5

Find the probability that the z-score is greater than 1 using the standard normal distribution table.
The probability that Z>1Z > 1 is 1P(Z1)1 - P(Z \leq 1).
From the standard normal distribution table, P(Z1)=0.8413P(Z \leq 1) = 0.8413.
Therefore, P(Z>1)=10.8413=0.1587P(Z > 1) = 1 - 0.8413 = 0.1587.
The probability that the average salary of the selected teachers is more than \$77,500 is:
0.1587 \boxed{0.1587}

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