
Ginosca A. answered 06/16/22
Experienced University/College and Test Prep Math Professor -Bilingual
We have that μ = 18, σ = 0.5, n = 30, x̄ = 17.7 (population mean, population standard deviation, sample size and sample mean respectively).
It is asked that the probability of getting a random sample of 30 batteries in which the sample mean lifetime is 17.7 hours or less. This is a sampling distribution problem.
We can use software to get the answer but manually this is the process:
- You have to find the standard deviation of x̄ which is: σ / √n = 0.5 / √30 ≈ 0.091
- Then you have to standardize: z = (x̄ - μ)/(σ / √n) = (17.7 - 18) / 0.091 = -3.29
- Using a left-tail z table you look for the z value which will give you P (z <= -3.29) = 0.0005
If this process works properly, then the probability that a sample of 30 batteries would have at most 17.7 hours is 0.05%. Therefore, the class was justified to question the claim.