Statistical Sciences 2244A/B Lecture Notes - Lecture 8: Statistical Inference, Central Limit Theorem, Supreme Headquarters Allied Powers Europe
17 Oct 2016
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Lab 2 will collect data in advance do it on sunday! due monday morning. We are branching into inferential statistics- where we infer something about the population from the sample. Sampling error: difference between statistics and parameter of statistics. Sampling error is predictable based on distance between sample and parameter. Srs is with replacement so we could get a value twice and total 16 possible samples from this small population. We can create a frequency distribution f(x-bar) Frequency and probability are more or less the same, y-axis could say either or. Mean of the means is equal to the population mean. Sampling in a bad way with selection bias- we cant predict these we cant estimate the mean, centre, deviation. Standard deviation is a measure of variation. Sampling error is predictable cause as long as you sample in a good way we can calculate mean and standard deviation using the 2 formulas above.
