Chapter 3

Question 1

central tendency

Answer 1

statistical measure to determine a single score that defined the center of a distribution
-goal: to find the single score that is most typical or most representative of the entire group

Question 2

MEAN for a distribution

Answer 2

the sum of the scores divided by the number of scores

Question 3

MEDIAN

Answer 3

the point on the measurement scale below which 50% of the scores in the distribution are located
- unbiased estimator of the population median

Question 4

mode

Answer 4

the score or category that has the greatest frequency within a frequency distribution

Question 5

inferential statistic

Answer 5

use sample stat to estimate the population parameter

• -> 1.) estimator are unbiased (only if mean of the samply distribution is equal to the population
  2. )consistent if the difference between population and estimated pop decreases as the sample number increases
  3. ) efficient : the smaller the sampling variance between two estimators the more efficient the I.S.

** use mean to infer statistics because of said qualities.

Question 6

what about variance?

Answer 6

1. ) must be s^2 for it to be unbiased
2. ) consistent estimate of variance is the difference between population variance and estimator variance decreases as the sample number increases