BIOL 2060 Lecture Notes - Sampling Distribution, Statistical Parameter
Document Summary
Estimation: process of inferring a population parameter from sample data. Sampling distribution: probability distribution of all the values for an estimate that we might have obtained when we sampled the population. Sample frequency data is skewed to the right and it resembles the population. Sampling distribution: probability distribution of values for an estimate that we might obtain when we sample a population. Larger the sampling distribution the more precise the estimate will be. Increasing the sample size reduces the spread of the sampling distribution of an estimate, increasing precision. Standard error=sd of the sampling distribution , reflects the differences between an estimate and the target parameter. Standard error of mean=estimated from data as the sample standard deviation (s) divided by the square root of the sample size (n) The standard error would be plus or minus it after the mean.
