MK 370 Chapter Notes - Chapter 16: Statistical Parameter, Statistic, Standard Deviation
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Chapter 16: generalizing a sample"s findings to its population and testing hypotheses about percents and means. Statistics (values that are computed from a sample"s information). Parameter (values that are computed from a complete population). Statistical inference (set of statistical procedures in which the sample size and sample statistics are used to estimate and make inferences about population parameters). If 20% of the sample likes dvds, then we can assume 20% of the population likes dvds. Hypothesis testing (compare the sample statistic with what is believed to be the population value prior to undertaking the study). Hypothesis (expectation of what the population parameter is) If the sample does not support the hypothesis, revise the hypothesis to be consistent with the sample statistic. Test statistic = ((sample statistic hypothesized population parameter value) / standard error of statistic) Percentage data z = ((p ) / sp: p is the sample percentage, is the population percentage.