Answer:
a. P(mean ≥ 9) ≈ 0.2950
b. P(8 ≤ mean ≤ 9) ≈ 0.6894
Explanation:
For a sample size of 32 taken from a population with a mean of 8.8 and a standard deviation of 2.1, you want to know ...
- probability the sample mean is 9 or more
- probability the sample mean is between 8 and 9.
Sample distribution
The mean of the distribution of sample means is the same as the population mean, 8.8.
The standard deviation of the sample means is the population standard deviation divided by the root of the number of samples: 2.1/√32.
Probabilities
A suitable calculator can find the necessary probabilities, given the parameters of the distribution of sample means. The attachment shows the calculation.
a. P(mean ≥ 9) ≈ 0.2950
b. P(8 ≤ mean ≤ 9) ≈ 0.6894