PSYC 2020 Chapter Notes - Chapter 2.2: Metar, Cumulative Frequency Analysis, Central Tendency

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When you can obtain an exact frequency for each score in a population, you can construct frequency distribution graphs that are exactly the same as the histograms, polygons, and bar graphs that are typically used for samples. One commonly occurring population distribution is the normal curve. the word normal refers to a specific shape that can be precisely defined by an equation. Whenever the term distribution appears, you should conjure up an image of a frequency distribution graph. There are 3 characteristics that describe an distribution: In a skewed distribution, the scores tend to pile up toward one end. The section where the scores taper off toward one end of a distribution is called the tail of the distribution. A skewed distribution with the tail on the right-hand side is positively skewed because the tail points toward the positive. X -axis. if the tail points to the left, the (above-zero) end of the distribution is negatively skewed (see figure 2. 11).

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