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ex. a sample of 765 voters exit polled on election day. Parameter: A descriptive measure of a population. Populations have parameters, samples have statistics Statistic: A descriptive measure of a sample Confidence level: The proportion of times that an estimating procedure will be correct. ex. a confidence level of 95% means that, estimates based on this form of statistical inference will be correct 95% of the time. Significance level: WHen the purpose of the statistical inference is to draw a conclusion about a population. Measures how frequently the conclusion will be wrong in the long run. ex. a 5% significance level means that, in the long run, this type of conclusion will be wrong 5% of the time. Chapter twoVariable: Some characteristic of a population or sample ex. student grades represented by a capital letter
Values: Range of possible values of the variable ex. student marks (0...100) Data: The observed values of a variable ex. student marks { 67, 74, 71, 83, 93, 55, 48} Types of Data and Information ●Interval Data ○Real numbers ○Also referred to as quantitative or numerical ●Nominal Data ○The values of nominal data are categories ○categorical ○Qualitative or caterorical ○ex. responses to questions about marital status, codes as: Single = 1, Married =
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Spring '11
Leany
Statistics, Notes, Nominal Data, Data and Information, Business Stats I