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21 Cards in this Set
- Front
- Back
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Descriptive Statistics
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The area of statistics that is concerned with summarizing numerical information and facilitating simpler ways to communicate it.
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Inferential Statistics
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Used to help make statements about population values based on information gathered from small samples of individuals.
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Population
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The entire group you want to generalize your statements to.
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Parameter
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The numerical value of a population.
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Sample
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A subset of the population intended to represent the population.
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Statistic
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The numerical value of a sample.
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Independent Variable
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CAUSE
The variable that is controlled or manipulated by the experimenter. |
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Dependent Variable
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EFFECT
The variable that is measured. This is our data. |
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Random Sampling
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Every member of the population has an equal chance of being selected.
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Convenience Sampling
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Not every member of the population has an equal chance of being selected.
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Discrete Variable
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A variable that can only take on a set number of properties. We always get an exact number-NOT an approximation.
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Continuous Variable
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A variable that has an infinite set set of possibilities between 2 numbers. We always get an approximation-NOT exact.
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"NOIR"
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Nominal, Ordinal, Interval, Ratio
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Nominal
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A level of measurement:
1. No set order 2. Catagorizing 3. Numbers have no meaning Example: Gender, Color coded,.. ect. |
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Ordinal
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A level of measurement:
1. Has Order 2. No set distance between levels Example: Diamonds(Color), Measurement of Education(k-12, B.A., M.A.) |
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Interval
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A level of measurement:
1. Has order 2. Equal distance between levels 3. No absolute zero Example: Temperature, Personality, |
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Ratio
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A level of measurement:
1. Has order 2. Equal distance 3. Absolute Zero Example: Weight, Height, |
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Upper case letters represent:
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A set of scores known as a variable.
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Subscript refers to:
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A single score.
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Sigma means:
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summation or the sum of.
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C represents:
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Constant
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