The sampling distribution of sample mean for a large population is approximately normal if the sample size is ans. 5 10 100 2

The sampling distribution of sample mean for a large population is approximately normal if the sample size is ans. 5 10 100 2

states that the sampling distribution of x is approximately normal when the sample is large.

When the population is not normally distributed, the sampling distribution of the mean approximates which of the following? A normal distribution A normal distribution given a large enough sample A slight positive skew A distribution that is not normal

A normal population has mean 100 and variance 25.How large must the random sample be if you want the standard error of the sample average to be 1.5?a.9b.10c.11d.None of the otherse.12

Suppose we take repeated random samples of size 20 from a population with a mean of 60 and a standard deviation of 8. Which of the following statements is true about the sampling distribution of the sample mean (x̄)? Check all that apply. The distribution is normal regardless of the shape of the population distribution, because the sample size is large enough. The distribution will be normal as long as the population distribution is normal. The distribution's mean is the same as the population mean 60. The distribution's standard deviation is larger than the population standard deviation of 8.