A. Tell whether the statement is TRUE or FALSE.

1. A sampling distribution is a probability distribution of a parameter.

2. Measures computed from sample data are called statistics.

3. Measure computed using population data are called parameters.

4. The variance of the sampling distribution of is smaller than the variance of the distribution of X.

5. The mean of the sampling distribution of is smaller than the mean of the distribution of X.

6. The sampling distribution of is approximately normal as the sample size n increases.

7. Sampling error is the difference between the sample mean and the population.

8. Systematic Random Sampling is a random sampling wherein the population is divided into

different strata or divisions.

9. Sample is the set of all possible values of a variable.

10. Population consists of one or more data drawn from the population.