KIN232 Study Guide - Comprehensive Final Exam Guide - Dependent And Independent Variables, Selection Bias, Internal Validity
20 Nov 2018
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Scales of measurement: non-parametric statistics (qualitative, nominal categorical, frequency, e. g. male/female, left-handed/right-handed, etc, ordinal rank-order classification, comparison, e. g. If you are male, that doesn"t really represent a score, nor if you are 1st in a race. Data sets or distribution: a data set or distribution is a collection of scores typically arranged in a series of columns and rows. 67: e. g. a smoking cessation program, those who volunteer are likely intrinsically motivated, which may not be indicative of the general pop, things like random assignment to control and intervention groups helps to control for this. Measures of central tendency mode: mode = the number (value) that occurs most frequently. Md = 168 cm: advantages, somewhat easy to do, not influenced by extreme scores, disadvantages, does not consider the magnitude of each score. Measures of variability standard deviation: standard deviation (s) is the square root of variance, = 59. 82 cm2.
