How does t-statistic differ from z-score? Select one:

a) The t statistic computes the standard error by dividing the standard deviation by n - 1 instead of dividing by n.

b) The t statistic uses the sample mean in place of the population mean.

c) The t statistic uses the sample variance in place of the population variance.

d) All of these are differences between t and z.

Option c

Step-by-step explanation:

In Statistics, both t and z tests are used for testing of hypothesis.

Whenever we have sample sizes >30 and when we know population std deviation sigma, we use Z test.

i. e. if sigma is known, we check whether sample size >30 then we use z test

Otherwise if population std deviation is not known, we use t test.

Even if population std deviation is known, if n <30 we use t test. Both use the same formula for std error.

Hence the correct option is option c.