MATH 1P98 Lecture Notes - Lecture 8: Alpha, Confidence Interval, Sample Size Determination

• School: Brock University
• Department: Mathematics and Statistics
• Course: MATH 1P98
• Professor: Susanna Spektor

Document Summary

An interval estimate with a specific level of confidence. The percent of the time the true mean will lie in the interval estimate given. An estimator which gets closer to the value of the parameter as the sample size increases. The number of data values which are allowed to vary once a statistic has been determined. A sample statistic which is used to estimate a population parameter. It must be unbiased, consistent, and relatively efficient. A range of values used to estimate a parameter. The maximum difference between the point estimate and the actual parameter. Maximum error of the estimate is 0. 5 the width of the confidence interval for means and proportions. A single value used to estimate a parameter. The estimator for a parameter with the smallest variance. A distribution used when the population variance is unknown. An estimator whose expected value is the mean of the parameter being estimated.