Biology 2244A/B Lecture Notes - Lecture 14: Null Hypothesis, Confidence Interval, Standard Deviation

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Lecture 14 hypothesis testing iv two-sample tests for means. One-sample tests: comparing a sample value to a larger population whose parameters are assumed to be known. Made assumption about the parameter we were testing a claim on. Actually have a value to assign to that parameter. Assume we know what that parameter is. Two-sample tests: comparing the parameters of two different population, neither of whose individuals values are assumed known. Don"t make assumptions about the parameters involved it. Look at something that describes the comparison between the 3 parameters we are looking. Example of birth control and blood pressure: matched pair scenario and two-sample: before and after blood pressures were matched with the same person. Matched pair: when look at before and after blood pressure = can match up individual data points. Independent sample: have 2 samples but can"t definitely match data points from each of: 2 independent samples so can"t match it up them.

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