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For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

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1.For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

Solution for For which of the following conditions is it not appropriate to assume that the sampling distribution of sample mean is approximately normal? A A…

2.For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal? answer choices . A random sample of 8 taken from a normally distributed population. A random sample of 50 taken from a normally distributed population …

3.For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

– [Instructor] What we’re going to do in this video is think about under which conditions does the sampling distribution of the sample portions, in which situations does it look roughly normal, and under which situations does it look skewed right so does it look something like this, and under which situations does it look skewed left maybe something like that.

4.For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

Which of the following is NOT a property of the sampling distribution of the sampling mean? a. The distribution of the sample mean tends to be skewed to the right or left. b. The mean of the sample means is the population mean. c. The expected value of the sample mean is equal to the population mean. d.

5.For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

Practice determining if the sampling distribution of a sample proportion is skewed or approximately normal. If you’re seeing this message, it means we’re having trouble loading external resources on our website.

6.For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

Is it appropriate to assume that the sampling distribution of the sample proportion is approximately normal? No, because the sample is not large enough to satisfy the normality conditions. A local arts council has 200 members.

7.For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

When we were discussing the sampling distribution of sample proportions, we said that this distribution is approximately normal if np ≥ 10 and n(1 – p) ≥ 10. In other words, we had a guideline based on sample size for determining the conditions under which we could use normal probability calculations for sample proportions.

8.For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

The above distribution is only valid if, X is approximately normal or sample size n is large, and,; the data (population) standard deviation σ is known. If X is normal, then X̅ is also normally distributed regardless of the sample size n.Central Limit Theorem tells us that even if X is not normal, if the sample size is large enough (usually greater than 30), then X̅’s distribution is …

9.For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

Because the sampling distribution of the sample mean is normal, we can of course find a mean and standard deviation for the distribution, and answer probability questions about it. Central limit theorem. We just said that the sampling distribution of the sample mean is always normal. In other words, regardless of whether the population …

10.For which of the following conditions is it not appropriate to assume that the sampling distribution of the sample mean is approximately normal?

If you draw a simple random sample of size n from a population that has an approximately normal distribution with mean μ and unknown population standard deviation σ and calculate the t-score t = , then the t-scores follow a Student’s t-distribution with n – 1 degrees of freedom. The t-score has the same interpretation as the z-score.

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1  Statistics 4.5.3 T Interval
We compute a one-sample T interval, a confidence interval for an unknown mean of a population, where the population variance is unknown and the distribution of sample means is approximately normal.
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