Using the <u>normal distribution and the central limit theorem</u>, it is found that there is a 0.0571 = 5.71% probability of selecting a sample of 40 two-bedroom apartments and finding the mean to be at least $275 per month.
In a normal distribution 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.
In this problem:
- The mean is of $250, hence .
- The standard deviation is of $100, hence .
- The sample is of 40 apartments, hence .
The probability of selecting a sample of 40 two-bedroom apartments and finding the mean to be at least $275 per month is the <u>p-value of Z when X = 275</u>, hence:
By the Central Limit Theorem
has a p-value of 0.9429.
1 - 0.9429 = 0.0571
0.0571 = 5.71% probability of selecting a sample of 40 two-bedroom apartments and finding the mean to be at least $275 per month.
You can learn more about the <u>normal distribution and the central limit theorem</u> at brainly.com/question/24663213