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33 Cards in this Set
- Front
- Back
Measurements or observations that are usually numeric |
Data |
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A branch of mathematics used to summarize analyze and interpret a group of numbers or observations |
Statistics |
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Summarizes the data or observation |
Descriptive statistics |
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Predictions, estimates, and hypothesis |
Inferential statistics |
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Set of all individuals of interest |
Population |
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A subset of the population |
Sample |
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Characteristic of the population |
Population parameter |
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Quantity computed from a sample of scores |
Sample statistic |
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An example of a mean height |
Population parameter |
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The sample mean is 187 feet tall |
Sample statistic |
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Any characteristic which can have different values |
Variables |
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Any characteristic whose value is fixed |
Constant |
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Take whole number values |
Discrete |
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Take any numerical value |
Continuous |
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Temperature would be an example of |
Continuous |
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The number of students in a class, or the seasons is an example of |
Discrete |
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Name is a category with no logical ordering |
Nominal |
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Names a category with logical ordering |
Ordinal |
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Has no true zero |
Interval |
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Has a true zero |
Ratio |
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Gender would be an example of |
Nominal |
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Temperature would be an example of |
Interval |
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The time it takes to prepare dinner would be an example of |
Ratio |
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Position standing in line would be an example of |
Ordinal |
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Histograms and scatterplots are used to show what kind of data |
Continuous |
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BarGraph, pie chart, and stem and leaf plot can be used to show what kind of data |
Discrete |
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Name three commonly used research methods in behavioral science |
Experiments, correlation, in case studies |
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Which scale of measurement is the most informative |
Ratio |
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a single value which is most representative of a set of data |
Central tendency |
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Used to model uncertainty in branches of mathematics |
Probability theory |
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A quantity that can vary but whose value is not known it advance of the experiment |
Random variables |
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A list of possible outcomes together with the Probabilities of each outcome |
Probability distributions |
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Regardless of original distribution shape, the average of random variables drawn from this distribution will always tend to gaussian. |
Central limit theorem |