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Statistics (KM)

Statistics Terms. 8/24/12

Stratified samples the population is first divided into different categories (strata) and the number of members in each category is determined.
Biased samples a sample with one or more subgroups that are either over represented or under represented
Cherry Picking the practice of polling only those who you believe will support your cause
Non-response bias a survey that is simply handed out gains few responses when compared to the number of surveys given out
Self selected sample both sides appear to be responding, but the poll may disproportionately represent extreme viewpoints from both sides, while ignoring more moderate opinions that may be the majority view.
Face to face interview fewer misunderstood questions, high response rate, additional information can be collected from respondents; time consuming, expensive, can be biased based on attitude/appearance of surveyor.
Self administered surveys respondent can complete on their own time, less expensive than face to face interviews, anonymity cause more honest results; lower response rate
Random samples everyone in the population has the same chance of being chosen.
Measure of central tendency the mean, median, and mode of a set of data
Frequency distribution table lists the data values, as well as the number of times each value appears in the data set; used for ungrouped data
Ungrouped data data that is listed
Grouped data data that is placed in intervals
Population the whole group
Created by: krissy005