TRUE OR FALSE

1. If the variance is 13, the standard deviation is 169.
2. The mean of the sample distribution is equal to the mean of the sample.
3. . As the sample n becomes larger, the sampling distribution of the sample means tend to approximate normal probability distribution.
4. 4. When the sample size n is 30, and the standard deviation of the population is unknown, then we can use the standard deviation of that sample.

5. the mean x is less than the population mean when the z - score is negative

6. The other term for Z score is standard score.

7. The standard score of the mean is zero.

8. Standard score of zero implies that the score x is zero.

9. The mean of the population is 3.2 .it can be interpreted that the means of the sampling distribution is more or less 3.2

10. She got a percentile rank of 93%. This means that she surpasses 93% of his classmates.

Identification

1. Elements taken from a population.
2. Measurable characteristic of a population.
3. Sampling technique made up of samples that are easy to reach.
4. Sampling technique which considers every nth element of the population in the sample with the selected random starting point from the first n members.
5. Refers to the totality of observations from a set of data.