APMA 3120 Statisitic Question and answers already passed
2025/2026
1.Parameter Number that represents some aspect of a population,
such as a mean or standard deviation.
2.Statistic Function of a random sample
3. Estimator A rule or formula that provides an estimate of a population
parameter based on sample data.
4. Estimate A specific value obtained from an estimator, used to
approximate a population parameter.
5. Bias of an Estimator The ditterence between the expected value of the estimator and the
true
value of the parameter being estimated.
6. Unbiased Estimator An estimator whose expected value equals the true value of the
parame-
ter being estimated.
7. Principles of Good Guidelines that suggest an estimator should be unbiased, less
Esti- mation
variance. Some cases are exceptions
8. Sample Mean The average of a set of sample values, calculated by summing the
values
and dividing by the number of observations.
9. Sample Variance A measure of the dispersion of sample values, calculated as the
average
of the squared ditterences from the sample mean.
10. Sample Proportion The ratio of the number of successes in a sample to the total
1/
14
, APMA 3120 Statisitic Question and answers already passed
2025/2026
number of observations in that sample.
2/
14
2025/2026
1.Parameter Number that represents some aspect of a population,
such as a mean or standard deviation.
2.Statistic Function of a random sample
3. Estimator A rule or formula that provides an estimate of a population
parameter based on sample data.
4. Estimate A specific value obtained from an estimator, used to
approximate a population parameter.
5. Bias of an Estimator The ditterence between the expected value of the estimator and the
true
value of the parameter being estimated.
6. Unbiased Estimator An estimator whose expected value equals the true value of the
parame-
ter being estimated.
7. Principles of Good Guidelines that suggest an estimator should be unbiased, less
Esti- mation
variance. Some cases are exceptions
8. Sample Mean The average of a set of sample values, calculated by summing the
values
and dividing by the number of observations.
9. Sample Variance A measure of the dispersion of sample values, calculated as the
average
of the squared ditterences from the sample mean.
10. Sample Proportion The ratio of the number of successes in a sample to the total
1/
14
, APMA 3120 Statisitic Question and answers already passed
2025/2026
number of observations in that sample.
2/
14
