KP290 Lecture Notes - Lecture 19: Internal Validity, Standard Deviation, Normal Distribution
16 Mar 2017
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If the sample represents the larger population, then the findings can be inferred to the larger group: however: the statistic has nothing to do with inference. 7 - 1: relative frequency: the observed frequencies converted to percentages based on the total number of observations. 10 - 20% i. 8 - 40% ii. 9 - 20% iii. 7 - 20% iv. be weary of percentages, numbers are deceiving, 40% is huge but is really only 2 people: measures of central tendency. A single score that best represents all of the scores. our example = 8 i. advantages ii. disadvantages: the most frequently obtained score, not influenced by extreme scores, may not represent a large proportion of the scores. our example = list all values from lowest to highest i. 7, 8, 8, 9, 10 ii. advantages: little influence by extreme scores, reasonable estimate of what most people mean by the centre of a distribution iii. disadvantages. Mean: the average score of the group: ignores extreme values.
