PSYC 2020 Lecture Notes - Lecture 4: Statistical Inference, Descriptive Statistics, Level Of Measurement
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Still in the realm of descriptive statistics. Taking data from samples, and still trying to describe it in some way. The sum of all the scores divided by the number of scores. Doesn"t matter how many data points you have, it"s how far they are from the middle. To combine the mean of two different samples, but that is wrong. The score that divides a distribution exactly in half. List scores from lowest to highest and find the score in the middle. The score or category that occurs with the greatest frequency. The high end of measurement, the mean is a good candidate. Taking data from samples and making generalizations of populations. A single number that: defines the scatter of a distribution, is a quantitative measure of how the scores are distributed (i. e. , are they clustered together or are they spread out?) Range- the difference between the highest and the lowest scores in the distribution.