ENS 305 Lecture Notes - Lecture 3: Kurtosis, Central Tendency, Frequency Distribution
13 Apr 2020
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Document Summary
A single score that best represents all of the scores. Sum of the scores divided by the number of scores. Most stable and reliable measure of central tendency. May not be representative of skewed data sets. Affected by the numerical value of every score in the dataset. Middle score; 50th percentile (p50); the typical value. A score that divides the distribution of scores exactly in half. To obtain the median, order the scores from high to low and find the middle one. The most unstable measure of central tendency. Can be more than one mode if two or more values are equal. Statistical term for shape of a distribution is skewness. The peakedness of a curve is referred to as kurtosis. A graph consisting of columns used to represent the frequencies of observed scores in the data. How scores spread out within a distribution. When variation is large, values are widely scattered. When variation is small, values are tightly clustered.
