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| science of collecting, organizing, analyzing, and interpreting data to make decisions |
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| don't try to modify the subjects |
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| apply some treatment to treatment group. Control group gets a placebo |
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| info collected from observations, responses, counts, or measurements |
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| numeric; results from measuring/counting |
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| anything not numeric; usually involve qualities, characteristics, labels (categorical data) |
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| discrete data (quantitative) |
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| usually from counting; values are 0-infinity with no fractions/decimals |
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| continuous data (quantitative) |
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| usually from measuring; values come from continuous scale w/ decimals/fractions |
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| names, labels, qualities, etc; can't use calculations other than counting |
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| can be ordered/ranked; qualitative or quantitative; diffs between ranks unmeaningful |
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| quantitative/numerical; diffs can be calculated; zero is position on scale, not absence of something (ex: temperature) |
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| interval data w/ a true zero; ratios between data can be calculated and compared |
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| complete collection of all elements to be studied |
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| collection of data from every member of population |
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| subcollection of members of population |
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| numerical measurement describing characteristic of a population |
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| numerical measurement describing a characteristic of a sample; can be good approximation of corresponding population parameter |
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| organizes, summarizes, displays data |
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| uses sample to reach a conclusion about a population |
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| if an assumption makes an observed even seem really unlikely then the assumption is probably false |
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| divide population into groups and take sample from each group; may be random |
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| divide population into groups an select some groups. all members of selected groups will be sampled |
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| select members that are available or easy to work with; may not be good representation of population |
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| self-selected sample (voluntary) |
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| subjects enter themselves into study |
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| difference between sample result and true population result. Due to sampling variation |
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| present in any set of data collected in samples |
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| everyone has = chance of being selected |
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| of size n, every possible sample of size n has = chance of being selected |
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| order elements then randomly select from a starting point and pick every kth element |
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| average; reliable, not resistant |
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| middle value when data values are in increasing order; not reliable, resistant |
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| number that occurs most frequently in a set; not reliable, resistant |
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| avg of highest and lowest element; not reliable, not resistant |
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| can be thought of as avg distance observations are from mean |
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| quality of "peakedness" of a curve |
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| fraction or percentage of times a value occurs |
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| cumulative relative frequency |
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| accumulation of previous relative frequencies |
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| offset one way or the other |
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| almost the same height across |
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| largest element - smallest element |
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| unusual data values; usually far from center of data values |
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| divide ordered dataset into equal or almost equal parts |
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| divide datasets into 100 about equal parts |
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| percentile value assoc. w/ given number w/i dataset |
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