2. A sample of n =25 scores has a mean of M = 83 and a standard deviation of s = 15.
a. Explain what is measured by the sample standard deviation.
b. Compute the estimated standard error for the sample mean and explain what is measured by the standard error.
4. Explain why t distributions tend to be flatter and more spread out than the normal distribution.
6. The following sample of n = 6 scores was obtained from a population with unknown parameters. Scores: 7, 1, 6, 3, 6, 7
a. Compute the sample mean and standard deviation. (Note that these are descriptive values that summarize the sample data.)
b. Compute the estimated standard error for M. (Note that this is an inferential value that describes how accurately the sample mean represents the unknown population mean.)