QMS 202 Study Guide - Midterm Guide: Type I And Type Ii Errors, Null Hypothesis, Confidence Interval

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 202
• Professor: Nursel Ruzgar

Document Summary

Lecture 1: confidence interval estimate of the population mean ( is known (sd: an interval estimate: provides more information about a population characteristic than does a point estimate, these are called confidence intervals. When you have a random sample and the mean is known (x-bar), population mean is found through estimation process. Confidence level is the probability that the interval will contain the parameter we are estimating (e. g. , ) = the percentage of times that a confidence interval will include the true population value. If the confidence level is . 95 this means that if a researcher were to randomly sample a population 100 times, then on average the estimated confidence interval for a value will contain the population"s true value 95 times. The confidence coefficient =(1- ) is a probability too. Calc: intr, z, 1 s, enter c level, stand dev, mean, sample size and exe (use list when applicable)