ADM 2303 Study Guide - Standard Error, Standard Deviation, Sample Size Determination

• School: University of Ottawa
• Department: Administration
• Course: ADM 2303
• Professor: All

Document Summary

Independence assumption: the sampled values must be independent of each o other. Success/failure condition: the sample size must be big enough so that both the number of successes, np, and the number of failures, nq, are expected to be at least. Sample mean o: when calculating the sd for sample the only difference is the lower portion is n-1 and not n, central limit theorem. Even if a population is not normal, sample means from the population will o be approximately normal as long as the sample size is large enough (n > 30) For fairly symmetric distributions, n > 15(follow a symmetric distribution o but not entirely symmetrical. ) o. No they are not going down as the probability is above 5% at 29. 46%, therefore there is not unusual getting a sample mean of 4527. 77 and this is normal. Independence assumption: the sampled values must be independent of each other. Randomization condition: subjects should have been randomly chosen.