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  Hypothesis testing  In this session ▪ What is hypothesis testing? ▪  Interpreting and selecting significance level ▪  Type I and Type II errors ▪  One tailed and two tailed tests ▪  Hypothesis tests for population mean ▪  Hypothesis tests for population proportion  What is hypothesis testing ã Hypothesis testing refers to1.Making an assumption, called hypothesis, about a population parameter.2.Collecting sample data.3.Calculating a sample statistic.4.Using the sample statistic to evaluate the hypothesis (how likely is it that our hypothesized parameter is correct. To test the validity of our assumption we determine the difference between the hypothesized parameter value and the sample value.)  The hypothesis testing procedure uses data from a sample to test the two cometin statements indicated b  H   and  H  HYPOTHESIS TESTING Null hypothesis, H 0  Alternative hypothesis,H A     ▪ State the hypothesized value of the parameter before sampling. ▪ The assumption we wish to test (or the assumption we are trying to reject) ▪ E.g population mean µ = 20 ▪  There is no difference between coke and diet cokeAll possible alternatives other than the null hypothesis.E.g µ ≠ 20µ > 20µ < 20There is a difference between coke and diet coke

LiDAR doc

Sep 22, 2019

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Sep 22, 2019
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