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helps describe data by reducint it for easier interpretation a-12, b-9, c-18
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a collection of numbers 6,8,10
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group intervals, percentage, and cumulative frequency 0-10, 11-20
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helps make data more manageable
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what is a typical score? -uses one number to characterize distribution
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describes how data or scores are dispersed across a distribution
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range, variance, standard deviation
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difference between maximum vallue and minimum value in a distribution
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statistical average of the amount of dispersion in a distribution of scores...how they vary from the mean
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difference between an individual score and the mean of a score of a distribution
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| normal distribution (bell curve) |
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| standardization and z-scores |
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-converts raw scores into standard deviation units -how far above or below the mean a score is in sdu -allows for comparisons of apples and oranges
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always there because of how samples are drawn, generally 5%...confidence level
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as long as you have a large enough sample, sampling distribution of the mean will be normally distributed -more than 30 samples are needed
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comparing two groups' mean scores
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extension of the t-test and used to investigate several independent variables simultaneously
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measures how two variables change in relationship to another
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uses association between two variables to make predictions -_____to the normal curve
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parametric and nonparametric
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value that compares observed with expected frequencies -if the value equals or exceeds value on table, then statistically significant -use on content analysis, observation, experiment
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same as x2 but two or more variables are tested at the same time
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-compare scores from diff. methods
-one of the most used stats
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