PSYCH-101 Lecture Notes - Lecture 21: Standard Deviation, Statistical Significance, Statistical Hypothesis Testing
11 Sep 2020
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Document Summary
Most frequently occurring score(s) in a distribution. Arithmetic average of a distribution, obtained by adding the scores and then dividing by the number of scores; can be distorted by few atypical scores. Middle score in a distribution; half the scores are above it, half are below it. The analysis of a bell-curve or another type of distribution (how much data is where) An arrangement of values of a variable showing their observed or theoretical frequency of occurrence. Outliers should sometimes be dropped because they skew results. Difference between the highest and lowest scores in a distribution. Computed measure of how much scores vary around the mean score. Of the data distribution should be 1 standard deviation above and below the mean. Symmetrical, bell-shaped curve that describes the distribution of many types of data; most scores fall near the mean ( fall within one standard deviation of it) and fewer and fewer near the extremes.
