STAT 2215Q Lecture Notes - Lecture 3: United States Reports, Null Hypothesis, Simple Random Sample

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9 Apr 2018
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STAT 2215Q Full Course Notes
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STAT 2215Q Full Course Notes
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Stat 2215q - lecture 3 notes end of chapter 1. Statistical inference: 2 types: casual inference, e. g. conclude that lung cancer is caused by smoking or smoke, population, this is the goal and what we will use for this course, statistical analysis. Statistical design: 2 types: randomized experiment, reduces bias in the experiment, e. g. flip a coin to delegate the positions for participants for the control group and experimental group, observational study, cannot control the groups, an experiment without randomization. A simple random sample of 10 people from a certain population has a mean age of 27. Use level of significance equals 0. 05: write variables, write hypotheses, n=(cid:883)(cid:882); y =(cid:884)(cid:889); (cid:2870)=(cid:884)(cid:882); =(cid:882). (cid:882)(cid:887, h(cid:2868):=(cid:885)(cid:882, ha: (cid:885)(cid:882, z(cid:4672)(cid:883) (cid:2870)(cid:4673)=z(cid:4672)(cid:883) (cid:2868). (cid:2868)(cid:2873)(cid:2870)(cid:4673)=(cid:883). 9(cid:888, z(cid:4672)(cid:883) (cid:2870)(cid:4673)= z(cid:4672)(cid:883) (cid:2868). (cid:2868)(cid:2873)(cid:2870)(cid:4673)= (cid:883). 9(cid:888, calculate critical numbers/rejection region, calculate test statistics, z= y / , z ratio=y (cid:3116) =(cid:2870)(cid:2875) (cid:2871)(cid:2868)

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