Log-in | Contact Jeff | Email Updates

Question 276:



No answer provided yet.

If a population or sample is not normally distributed (say it is positively skewed) the mean will be affected and not be an accurate representation of the center of the distribution. Positively skewed populations are things like salaries of employees, home values (very large values skew the whole distribution to the right).

The Central limit theorem shows that as sample sizes get larger the sampling distribution of the mean begins to resemble the normal distribution. This especially becomes the case as the sample size gets above 30.

Not what you were looking for or need help?

Ask a new Question

Browse All 869 Questions

Search All Questions: