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17 Cards in this Set
- Front
- Back
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Quantitative variable that has either a finite number of possible values or a countable number of possible values. Cannot take on every possible value between any two possible values. |
Discrete variable |
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Quantitative variable that has a infinite number of possible values that are not countable. May take on every possible value between any two values. |
Continuous variable |
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Type of measurements if the value of the variable names labels or categorizes. |
Nominal level of measurement |
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The science of collecting, organizing, summarizing, and analyzing the information to draw a conclusion and answer questions in addition is about providing a measure of confidence in any conclusions. |
Statistics |
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A numerical summary of a sample |
Statistic |
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A numerical summary of a population |
Parameter |
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Study that measures the value of the response variable without attempting to influence the value of either the response or explanatory variables. |
Observational study |
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List of the individuals in the population being studied. |
Frame |
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Sampling in which every possible sample of the size n has an equally likely chance of occurring. |
Simple random sampling |
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Type of sampling that does not require a frame. |
Systematic sampling |
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Sample obtained by dividing the population into groups and selecting all individuals from within a random sample of the groups. |
Cluster sample |
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Type of sample obtained by dividing the population into homogeneous groups and randomly selecting individuals from each group. |
Stratified sample |
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Sampling every n'th item |
Systematic sample |
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Proportion or percent of observations within a category |
Relative frequency |
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Type of Statistics that consists of organizing and summarizing data. |
Descriptive statistics |
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Type of Statistics that uses methods that take a result from a sample, extend it to the population, and measure the reliability of the result. |
Inferential statistics |
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The difference between consecutive lower class limits. |
Class width |
