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18 Cards in this Set
- Front
- Back
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Z score/Standard Score
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-the number of standard deviations the actual score is above or below the mean
-Describes a score in terms of how much it is above or below the average. -The SD of any distribution of Z scores is always 1 |
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Raw Score
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an ordinary score as a opposed to a Z score
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Method for finding Z score
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Z=X-M/SD
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Method for finding raw score
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X=(Z)(SD) + M
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Population
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Entire set of things of interest
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Sample
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Part of the population about which you actually have information
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Population Parameters
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The mean, variance, and standard deviation of a population
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Sample Statistics
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The mean, variance, and standard deviation you figure for the scores in a sample
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Probability
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the expected relative frequency of a particular outcome
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Outcome
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the result of an experiment
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Relative Frequency
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the number of times something happens relative to the number of times it could have happened-the proportion of times it happens
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Expected Relative Frequency
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what you expect to get in the long run if you repeated the experiment many times
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Subjective Interpretation of Probability
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how certain we are that a particular thing will happen
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Addition Rule (Or Rule)
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-Used in situations with two or more mutually exclusive outcomes
-the total probability of getting either outcome is the sum of the individual probabilities |
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Multiplication Rule (And Rule)
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-finds the probability of getting both of two (or more) independent outcomes
-the probability of getting two independent outcomes is the product of (the result of multiplying)the individual probabilities |
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Independent Outcome
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outcome in which getting one has no effect on getting the other
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Mutually Exclusive Outcome
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If one outcome happens, the others can't happen
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Conditional Probabilites
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the probability of one outcome, assuming some other particular outcome will happen
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