Mark W. Vernoy,
Palomar College
Diana J. Kyle,
Fullerton College
Apparent limits | are the limits of a class interval in the same units as the original data.
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Class intervals | are equal-sized groups of raw data used to summarize data in a grouped frequency distribution.
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Cumulative frequency | ( cum ƒ )is the total number of scores that fall below the upper real limit of an interval.
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Cumulative percent | ( cum %)is also known as percentile. It is the percentage of scores that fall below the exact upper limit of the interval. cum % = cum rel ƒ · 100
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Cumulative relative frequency | ( cum rel ƒ )is the total proportion of scores that lie below the real upper limit of the interval. (2.0K)
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Frequency | ( ƒ ) is the number of times a score occurs. The sum of the frequencies in a distribution is equal to the total number of scores in the distribution. (0.0K)
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grouped frequency distribution | in this distribution, the raw data are combined into equal-sized groups called class intervals. The rule of thumb is to create between 10 and 20 class intervals and adjust the size of the intervals accordingly. (6.0K)
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Midpoint | is the average (center) of a class interval. (5.0K)
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Range | is the full extent of scores from the highest to the lowest in the distribution.
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Ranked distribution | is a distribution of numbers in which scores are arranged in order (ranked), with the highest number at the top and the lowest number at the bottom of a list.
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Raw data | are the scores or numbers that have been collected but not organized or summarized.
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Real limits | are the true extensions of the lower apparent limit minus 0.5 unit and the upper apparent limit plus 0.5 unit.
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Relative frequency | ( rel ƒ )is the proportion of scores from the distribution that fall within the real limits of an interval. (1.0K)
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Simple frequency distributions | are created by listing all possible score values in a distribution and then indicating the frequency.
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