Intro Statistics, Lect 15A, Random Variable Simulation, Binomial & Poisson RVs, Confidence Intervals

Описание: (0:00) Class outline.
(0:48) Mathematica demonstrations to simulate sampling from a Normal distribution, binomial distribution, and Poisson distribution. Wanted to model Adrian Peterson's 2012 season, but I couldn't load the data because the file path was for my computer rather than the classroom computer (will do it in Lecture 16A).
(9:58) Simulating of Rod Carew's 1977 season (with a .388 batting average) by using =IF and =RANDBETWEEN to create s's (successes) and f's (failures) for 616 simulated at bats, then using =COUNTIF to find how many s's occurred.
(16:49) Do this for 20 simulated seasons and ultimately count in how many of those simulated seasons he had a batting average over .400.
(21:06) Review Binomial and Poisson settings and examples.
(27:20) Basic idea of confidence intervals to estimate a population mean when the population standard deviation is (unrealistically) assumed to be known.
(31:09) General formula for such a confidence interval.