Question

How are differences between the sample mean and the population mean explained when the result isn't statistically significant?

Answer 1

Answer and explanation:

The standard error is used to measure the difference between the sample mean and the population mean. It uses standard deviation to measure the level of deviation of the sample mean from the population mean. In other words, the accuracy of the sample mean by way of representing the mean of the population is measured using the standard error. If there is significant difference then standard error is bigger usually non-zero while it is less significant with smaller standard error.