Given a normal distribution with u= 104 and o = 20, and given you select a sample of n= 16, complete parts (a) through (d). a. What is the probability that X is less than 942 PX<94) - (Type an integer or decimal rounded to four decimal places as needed)

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### Normal Distribution Problem

Given a normal distribution with a mean (μ) of 104 and a standard deviation (σ) of 20, and given you select a sample of size n = 16, complete parts (a) through (d).

**a. What is the probability that X is less than 94?**

\[ P(X < 94) = \_\_\_ \]

(Type an integer or decimal rounded to four decimal places as needed.)

**Explanation:**

To find the probability that \( X \) is less than 94, you need to calculate the z-score using the formula:

\[ z = \frac{X - \mu}{\sigma/\sqrt{n}} \]

Where:
- \( X \) is the value for which you're finding the probability.
- \( \mu \) is the mean.
- \( \sigma \) is the standard deviation.
- \( n \) is the sample size.

Once you have the z-score, use the standard normal distribution table or a calculator to find the corresponding probability.
Transcribed Image Text:### Normal Distribution Problem Given a normal distribution with a mean (μ) of 104 and a standard deviation (σ) of 20, and given you select a sample of size n = 16, complete parts (a) through (d). **a. What is the probability that X is less than 94?** \[ P(X < 94) = \_\_\_ \] (Type an integer or decimal rounded to four decimal places as needed.) **Explanation:** To find the probability that \( X \) is less than 94, you need to calculate the z-score using the formula: \[ z = \frac{X - \mu}{\sigma/\sqrt{n}} \] Where: - \( X \) is the value for which you're finding the probability. - \( \mu \) is the mean. - \( \sigma \) is the standard deviation. - \( n \) is the sample size. Once you have the z-score, use the standard normal distribution table or a calculator to find the corresponding probability.
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