STAT 101 Lecture Notes - Lecture 9: Type I And Type Ii Errors, Simple Random Sample, Confidence Interval
24 Jul 2017
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Document Summary
Stat 101 - lecture 9 - inference in practice. Material covered corresponds to chapters 18 & 19 from textbook. Chapter 18 - further elaborates on construction of confidence intervals & testing as studied in chapters 16 & 17. When carrying out inference, make various assumptions concerning underlying statistical model from which data arose. Be aware of assumptions we make & be able to assess whether assumptions are valid. Understand data collection mechanism to assess whether data are simple random sample. Increasing sample size typically leads to narrower & more desirable confidence intervals. Be able to determine sample size required in experiment prior to collecting data so that confidence interval has specified length. In testing, larger the sample size, more likely to discover effect via testing. Power of test is probability of not making type ii error. Powerful tests preferred over tests not powerful.
