Question

The mean of the sampling distribution of the mean usually equals the value of the highest sample mean.

True or False

Answer 1

@hartnn @jabez177 @Loser66

Answer 2

false

Answer 3

do u undersrtand it?

Answer 4

okay it makes sense

Answer 5

okay:)

Answer 6

The standard error of the mean roughly measures the average amount by which sample means deviate from the population mean.

Would this be true

Answer 7

its true

Answer 8

The standard error of the mean increases in value when the sample size is increased.

This is false right

Answer 9

@ibrafacts

Answer 10

@kropot72

Answer 11

The standard error of the sample mean is found from:
\[\large S.E.\ of\ \bar{X}=\frac{\sigma}{\sqrt{n}}\]
where sigma is the standard deviation of the population.
So, what would happen to the value of the S.E. when the sample size is increased? Will the S.E. increase or will it decrease?