STT 212 Study Guide - Midterm Guide: Simple Random Sample, Central Limit Theorem, Chi-Squared Distribution

• School: University of Rochester
• Department: Statistics
• Course: STT 212
• Professor: Mcdermott

Document Summary

Case q how often it will take on those values. Case c how often it will take on those values. Sampling distribution of the sample proportion tells us what values that (cid:1868) can take on and: center: =(cid:1868, spread: = (cid:4666)(cid:2869) (cid:4667)(cid:3041, shape: will be normal if (cid:1866)(cid:1868) (cid:883)(cid:882) and (cid:1866)(cid:4666)(cid:883) (cid:1868)(cid:4667) (cid:883)(cid:882) (cid:1866)=(cid:1868)(cid:4666)(cid:883) (cid:1868)(cid:4667)(cid:4672)(cid:3027) (cid:3040)(cid:4673)(cid:2870) where n = sample size, p = proportion, z* = constant found on t- table, m = margin of error (the portion of the confidence interval of case c) Sampling distribution of the sample proportion tells us what values that can take on and: center: (cid:3051) = (cid:3051, spread: (cid:3051) = (cid:3041) standard error, shape: will be normal if (cid:1866) 3(cid:882) central limit theorem. (cid:1866)=(cid:4672)(cid:3027) (cid:3040)(cid:4673)(cid:2870) where n = sample size, = standard deviation, z* = constant found on t-table, m = margin of error (the portion of the confidence interval of case q)