Suppose that a sample of size 60 is drawn from a population with mean 73 and standard deviation 79. Find the value of , the standard deviation of the distribution of sample means. How do I work this on my calculator?

"Standard deviation of the distribution of sample means" = SEm = SD/√n

Since I don't use a calculator, I can't help you there.

To find the standard deviation of the distribution of sample means (also known as the standard error), you can use the formula:

Standard Error = Population Standard Deviation / √(Sample Size)

In this case, the population standard deviation is 79 and the sample size is 60.

1. First, divide the population standard deviation by the square root of the sample size.
Standard Error = 79 / √(60)

2. Calculate the square root of the sample size.
√(60) = 7.745966692414834

3. Divide the population standard deviation by the square root of the sample size.
Standard Error = 79 / 7.745966692414834

Now you can use your calculator to find the value of the standard error.

If you have a scientific calculator, simply enter the values and perform the division:

79 ÷ 7.745966692414834 = 10.198

So, the standard deviation of the distribution of sample means is approximately 10.198.