ADMS 2320 Study Guide - Quiz Guide: Type I And Type Ii Errors, Beta, Bias Of An Estimator

• School: York University
• Department: Administrative Studies
• Course: ADMS 2320
• Professor: Ying Kong

Document Summary

Ch10 statistical inference -acquire information about populations from samples. *interval estimator- an interval estimator draws inferences about a population by estimating the value of an unknown parameter using an interval. ( range of values) If the confidence is 95% then the significance is 5% (alpha). The width of the confidence interval is affected by: the population standard deviation ) sd , confidence interval , the confidence level (1- ) confidence level , confidence interval , the sample size (n). Unbiased estimator-a population parameter is an estimator whose expected value is equal to that parameter. Consistency- if the difference between the estimator and the parameter grows smaller as the sample size grows larger. ( , n , variance ) Relative efficiency-if two unbiased estimators of a parameter, the one whose variance is smaller is said to be relatively more efficient. (smaller variance is better)