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Unformatted text preview: • Data- Consist of information coming from observations, counts, measurements, or responses. • Statistics- The science of collecting, organizing, analyzing, and interpreting data in order to make decisions. • P opulation - The collection of all outcomes, responses, measurements, or counts that are of interest. • S ample - A subset of the population. • P arameter - A number that describes a p opulation characteristic. • S tatistic - A number that describes a s ample characteristic. • Descriptive Statistics - Involves organizing, summarizing, and displaying data. • Inferential Statistics- Involves using sample data to draw conclusions about a population. • Qualitative Data- Consists of attributes, labels, or nonnumerical entries • Quantitative data- Numerical measurements or counts. • Nominal level of measurement- (a) Qualitative data only (b) Categorized using names, labels, or qualities (c) No mathematical computations can be made. • Ordinal level of measurement - (a) Qualitative or quantitative data (b) Data can be arranged in order (c) Differences between data entries is not meaningful. • Interval level of measurement - (a) Quantitative data (b) Data can ordered (c) Differences between data entries is meaningful (d) Zero represents a position on a scale (not an inherent zero – zero does not imply “none”) • Ratio level of measurement - (a) Similar to interval level (b) Zero entry is an inherent zero (implies “none”) (c) A ratio of two data values can be formed (d) One data value can be expressed as a multiple of another....
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This note was uploaded on 02/07/2012 for the course MATH 1025 taught by Professor Raney during the Fall '10 term at Century College.
- Fall '10