When the population is not normally distributed, the sampling distribution of the mean approximates which of the following? A slight positive skew A normal distribution given a large enough sample A distribution that is not normal A normal distribution
Question
When the population is not normally distributed, the sampling distribution of the mean approximates which of the following? A slight positive skew A normal distribution given a large enough sample A distribution that is not normal A normal distribution
Solution
The answer is "A normal distribution given a large enough sample". This is based on the Central Limit Theorem, which states that if you have a large enough sample size, the sampling distribution of the mean will be approximately normally distributed, regardless of the shape of the population distribution.
Similar Questions
states that the sampling distribution of x is approximately normal when the sample is large.
The sampling distribution of sample mean for a large population is approximately normal if the sample size is
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 isans.
In a distribution with a left skew, the mean is most likely ________ the medianQuestion 13Select one:a.approximately the same asb.larger thanc.smaller than
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.