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Chapter 3

PSY201 Chapter 3 Frequency Distributions

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Department
Psychology
Course
PSY201H1
Professor
Kristie Dukewich
Semester
Fall

Description
Chapter 3 Frequency Distributions - A frequency distribution presents the score values and their frequency occurrence - When grouping scores, some information is lost - The wider the interval, the more information is lost, the greater than ambiguity - The narrower the interval, the more information is preserved - If too narrow, there will be values with zero frequency and unclear display of the shape of the distribution - Constructing a frequency distribution of grouped scores (1) Find the range of the scores = Highest score - Lowest Score (2) Find the interval width (i) = Range / N (3) The lower limit of the interval containing the lowest score must be divisible by the interval width (4) Tally the scores (5) Add the tallies into frequency (f) - A relative frequency distribution is the proportion of the total number of scores that occur in each interval - relative f = f_i / N - A cumulative frequency distribution is the number of scores that fall below the upper real limit of each interval - cum f - A cumulative percentage distribution is the percentage of scores that fall below the upper real limit of each interval - cum % = cum_f / N * 100 - A percentile or percentile point is the value on the measurement scale below which a specific percentage of scores in the distribution fall - Start with desired percentile - Find the score in the data - E.g. A score at the 75th percentile means 75% of the scores fall below it -
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