Statistical Sciences 1024A/B Lecture Notes - Lecture 20: Statistical Parameter, Normal Distribution, Confidence Interval

• School: Western University
• Department: Statistical Sciences
• Course: Statistical Sciences 1024A/B
• Professor: Lori Murray

Document Summary

Something that can be counted or measured and then added, subtracted, averaged, etc. , across individuals in the population. Something that falls into one of several categories. What can be counted is the proportion of individuals in each category. The population can be divided into two categories- examples: Heads or tails in the flip of a coin. Intend to vote for a certain party or not to vote for it. Jargon: one group is referred to as a success and the other as a failure . The population parameter of interest is proportion of successes in the population denoted by p. The sample statistic, the estimate of p, is the proportion of successes in the sample based on a sample of size n and is denoted by. A measure of the sampling variability is given by the standard error is subject to sampling variability, i. e different samples may produce different values of. The sample is obtained by a simple random sample.