Statistics 311 Final Exam Definitions

Statistics 311 Final Exam Definitions - Statistics 311...

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Statistics 311 Final Exam Definitions Parameter: a summary measure for an entire population Statistic: a summary measure computed from sample data Population: the entire group of units about which inferences will be made Sample: the group of units that are actually measured or surveyed Variable: a characteristic that differs from one individual to the next Categorical variable: a variable that consists of group or category names that don’t necessarily have any logical ordering Quantitative variable: a variable that is recorded as numerical values, and the data can be either measurements or counts taken on each individual Distribution: the overall pattern of how often possible values occur Location (center): The center or average of the distribution (median or mean) Spread (variability): the variability among individual measurements Shape: how the values are distributed. Visual displays address questions about the shape Skewed: the values on a dataset are more spread out on one side of the center than the other Symmetric: the dataset is similar on both sides of the center Outlier: no precise definition, is not consistent with the bulk of the data Simple random sample (SRS): a sample where every conceivable group of units of the required size from the population has the same chance to be the selected sample
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This note was uploaded on 04/01/2008 for the course ST 311 taught by Professor Modlin during the Fall '08 term at N.C. State.

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Statistics 311 Final Exam Definitions - Statistics 311...

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