Statistical Sciences 2244A/B Lecture Notes - Lecture 11: Binomial Distribution, Confidence Interval, Sampling Distribution
15 Jan 2017
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Correctly assess the conditions for z ci for p. Compute a z ci for p and/or associated values with appropriate information. Estimate sample size needed to obtain a chosen margin of error identify the relevant statistic, parameter, and/or sampling distribution for a given situation. Since b(n,p) is true, p has to be constant. Don"t have to know what it is, just have to make sure its constant np is the number of success, n(1-p) is the number of failure. Both have to be greater than 15. Trying to fit a normal curve over the binomial distribution. Only a good fit when the above is true. Better fit is made from a large the sample size, and p is close to 0. 5 (not skewed) A larger sample size can compensate for the skewness of the curve when estimating. More skewed = need larger sample size. Even when the fit is better you can still miss an entire tail.
