QMS 202 Study Guide - Final Guide: Analysis Of Variance, Null Hypothesis, Emar

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 202
• Professor: Jason Chan

Document Summary

Mean of 0 and standard deviation of 1. Central limit theorem: for a large sample size, The mean of the distribution of the sample mean will be exactly equal to the pop mean. If the st. deviation of the pop is , the st. deviation of the distribution of the sample mean is. Given that the standard deviation of the population, is known. If the population standard deviation of the population, , the z value is is unknown and. If your level of confidence increases than your range increases known: confidence interval for a population mean ( 1 sample z interval: confidence interval for a population mean ( unknown) 1 sample t interval: confidence interval estimation for the proportion (z distribution) = critical value from the standardized normal distribution. = sample size and are greater than 5: determining sample size for the mean. The sample size determination for the mean: sample size determination for the proportion.