Questions: A normal population has mean μ=9 and standard deviation σ=5. (a) What proportion of the population is less than 20 ? (b) What is the probability that a randomly chosen value will be greater than 6 ? Round the answers to four decimal places. The proportion of the population less than 20 is 0.9861. The probability that a randomly chosen value will be greater than 6 is 0.2743.

A normal population has mean μ=9 and standard deviation σ=5. (a) What proportion of the population is less than 20 ? (b) What is the probability that a randomly chosen value will be greater than 6 ?

Round the answers to four decimal places.

The proportion of the population less than 20 is 0.9861.

The probability that a randomly chosen value will be greater than 6 is 0.2743.
Transcript text: A normal population has mean $\mu=9$ and standard deviation $\sigma=5$. (a) What proportion of the population is less than 20 ? (b) What is the probability that a randomly chosen value will be greater than 6 ? Round the answers to four decimal places. The proportion of the population less than 20 is 0.9861. The probability that a randomly chosen value will be greater than 6 is $0.2743$.
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Solution

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Solution Steps

Step 1: Calculate the Proportion of the Population Less Than 20

To find the proportion of the population that is less than 20, we calculate the cumulative distribution function (CDF) at \( x = 20 \). The Z-score is calculated as follows:

\[ Z_{end} = \frac{20 - \mu}{\sigma} = \frac{20 - 9}{5} = 2.2 \]

Using the properties of the normal distribution, we find:

\[ P(X < 20) = \Phi(Z_{end}) - \Phi(-\infty) = \Phi(2.2) - 0 = 0.9861 \]

Thus, the proportion of the population less than 20 is:

\[ \boxed{0.9861} \]

Step 2: Calculate the Probability That a Randomly Chosen Value Will Be Greater Than 6

To find the probability that a randomly chosen value will be greater than 6, we first calculate the Z-score for \( x = 6 \):

\[ Z_{start} = \frac{6 - \mu}{\sigma} = \frac{6 - 9}{5} = -0.6 \]

The probability is then calculated as:

\[ P(X > 6) = 1 - P(X < 6) = 1 - \Phi(Z_{start}) = 1 - \Phi(-0.6) \]

Using the properties of the normal distribution, we find:

\[ P(X > 6) = \Phi(\infty) - \Phi(-0.6) = 1 - 0.2743 = 0.7257 \]

Thus, the probability that a randomly chosen value will be greater than 6 is:

\[ \boxed{0.2743} \]

Final Answer

The answers to the questions are:

  • Proportion of the population less than 20: \( \boxed{0.9861} \)
  • Probability that a randomly chosen value will be greater than 6: \( \boxed{0.2743} \)
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