BNAD 276 Lecture Notes - Lecture 7: Central Limit Theorem, Simple Random Sample, Sampling Distribution

• School: University of Arizona
• Department: Business Administration
• Course: BNAD 276
• Professor: brentmarinan

Document Summary

Bnad 276 lecture 7 (do notes from last class) We assumed, if the population was normal, then the sampling distribution of the sample means is also normal. ----and sample size can be any size. If we cannot assume it is normal, look at the sample size (n). 30, then sampling distribution of the sample means is normal; thus, we can use z= (xbar - mu)/( /root n) The sampling distribution of the sample proportion- Sample proportion (pbar) is used to estimate the population parameter, p. A particular value of the estimator pbar. If the population is normal and we take a bunch of samples of size n, where the data is in the form of proportions, all the pbar"s will also have a sampling distribution that is normal. If cannot assume the population is normal, then we cannot say the sampling distribution is normal.