Answer:
A. there is a 99% probability that μ is between 3 and 9.
Step-by-step explanation:
From a random sample, we build a confidence interval, with a confidence level of x%.
The interpretation is that we are x% sure that the interval contains the true mean of the population.
In this problem:
99% confidence interval.
6 ± 3.
So between 6-3 = 3 and 6 + 3 = 9.
So we are 99% sure that the true population mean is between 3 and 9.
So the correct answer is:
A. there is a 99% probability that μ is between 3 and 9.
As a rule of thumb, the sampling distribution of the sample proportion can be approximated by a normal probability distribution whenever the sample size is large.
<h3>What is the Central limit theorem?</h3>
- The Central limit theorem says that the normal probability distribution is used to approximate the sampling distribution of the sample proportions and sample means whenever the sample size is large.
- Approximation of the distribution occurs when the sample size is greater than or equal to 30 and n(1 - p) ≥ 5.
Thus, as a rule of thumb, the sampling distribution of the sample proportions can be approximated by a normal probability distribution when the sample size is large and each element is selected independently from the same population.
Learn more about the central limit theorem here:
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Store 1 because there’s a greater variety !!!
Answer:
7
Step-by-step explanation:
