MAT 2377 Lecture Notes - Lecture 7: Point Estimation, Ehow, Statistical Parameter
9 May 2014
School
Department
Course
Professor
Document Summary
Random sampling terminology : in practice we often repeat an expe- riment n times. randomly selecting n items from a production line and verifying the conformity of each of the selected items. measuring the current in a thin copper wire n times. We will model each of the observations as a random variable, i. e. xi will represent the ith observation. Assumptions : we will assume independent trials, furthermore, we are repeating the same experiment n times, hence the random variables x1, . Random sample : we call the following collection of independent and identically distributed random variables x1, . Population parameters : here are some population parameters that often need to estimate in practice : the mean of a population , called the population mean. the variance of a population 2, called the population variance. the proportion p of items in a population that satisfy an attribute, called the population proportion.
