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23 Cards in this Set
- Front
- Back
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What is an element?
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An entity from which a statistic is taken.
(The beginning of the row) |
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What is a variable?
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A characteristic of an element.
(The top of a column) |
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What is an observation?
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The set of values of the variables for a given element.
(The whole row) |
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What are descriptive Statistics?
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Methods for summarizing and organizing information in a data set.
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What are Statistical Inferences?
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Methods for estimating and drawing conclusions about a population by using a sample.
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What is a Quantitative variable?
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A numerical valued statistic that allow arithmetic to happen.
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What is a Qualitative Statistic?
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A statistic that is classified by an attribute or characteristic.
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What is a discrete variable?
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A finite or countable number of values, that are only whole numbers. Example number of people, number of blocks.
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What is a Quantitative variable?
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A numerical valued statistic that allow arithmetic to happen.
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What is a continuous variable?
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An infinite many of values on a number line. Example GPA, weight, height.
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What is a Qualitative Statistic?
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A statistic that is classified by an attribute or characteristic.
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What are nominal values?
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The are only Qualitative. Nominal values are not in any order they are names, labels or categories.
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What is a discrete variable?
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A finite or countable number of values, that are only whole numbers. Example number of people, number of blocks.
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What is a continuous variable?
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An infinite many of values on a number line. Example GPA, weight, height.
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What are nominal values?
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The are only Qualitative. Nominal values are not in any order they are names, labels or categories.
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What is an Ordinal variable?
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It is only Qualitative. Can be arranged in a particular order, but cannot have arithmetic done to them.
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What is an Interval Variable?
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It is only Quantitative. Subtraction can take place with these statistics but there is no natural 0. Example, Years, dates on a calender, Time.
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What is a Ratio Variable?
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It is only Quantitative Statistics. Division can be done on this data. And there does exist a natural 0. Example income.
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What is random sampling?
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When every element has a fair chance to get selected.
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What is Stratified sampling?
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When population data get placed in to small groups. Example Races, Hispanic, Latino, White, Black, Asian.
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What is Systematic sampling?
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Each element is numbered, sample is done by picking every k element.
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What is Cluster sampling?
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When populations are scattered in a geographical area, the areas are split into clusters. Example are city block in NYC.
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What is Convenience Sampling?
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Sampling on what is convenient to the survey personnel.
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