T-TEST VS. Z-TEST

The z-test is used when the sample size is less than 30.

• True
• False

A t-test is appropriate when the population standard deviation is unknown.

• True
• False

The z-test and t-test are both used to compare sample means.

• True
• False

A t-test assumes that the sample data follows a normal distribution.

• True
• False

The z-test can be used for both large and small sample sizes, regardless of the population standard deviation.

• True
• False

The critical value in a z-test can be found using a standard normal distribution table.

• True
• False

Both z-test and t-test require independent samples.

• True
• False

1. The t-test is more robust than the z-test when dealing with data that is slightly non-normal.

• True
• False

In a z-test, the test statistic is calculated using the sample mean, population mean, population standard deviation, and sample size.

• True
• False

A two-sample t-test can be used to determine if two populations have different variances.

• True
• False