BIOL 3P96 Lecture Notes - Lecture 4: Standard Deviation, Confidence Interval, Standard Error
24 Jul 2015
School
Department
Course
Professor
Document Summary
Biol 3p96 lecture 4: estimating with uncertainty. Important concepts: sampling distribution, standard error, confidence interval. Estimating mean gene length with a random sample: random sample of n = 100 genes from the human genome, sample estimates differ from population parameters because of chance in the random sampling process. Sampling distribution = probability distribution of all values for an estimate that we might. Y that might be obtained if a vast number of n = 100 samples were analyzed. Spread of sampling distribution of an estimate depends on the sample size. Increasing sample size reduces the spread of an estimate, increasing precision. Standard error is the standard deviation of the estimate"s sampling distribution. Every estimate has a sampling distribution with a standard error, not just mean. Reflects differences between an estimate and the target parameter. Estimates with smaller standard errors are more precise than those with larger standard errors. Measures the precision of a sample estimate.
