Using the <em>normal distribution and the central limit theorem</em>, it is found that there is a 0.1894 = 18.94% probability that the average number of pages in the sample is less than 500.
<h3>Normal Probability Distribution</h3>
In a <em>normal distribution</em> with mean
and standard deviation
, the z-score of a measure X is given by:

- It measures how many standard deviations the measure is from the mean.
- After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.
- By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation
.
In this problem:
- The mean is 525, hence
.
- The standard deviation is 200, hence
.
- A sample of 50 is taken, hence
.
The probability that the average number of pages in the sample is less than 500 is the <u>p-value of Z when X = 500</u>, hence:

By the Central Limit Theorem



has a p-value of 0.1894.
0.1894 = 18.94% probability that the average number of pages in the sample is less than 500.
To learn more about the <em>normal distribution and the central limit theorem</em>, you can take a look at brainly.com/question/24663213