Biochemistry 2280A Study Guide - Midterm Guide: Statistical Parameter, Statistic, Sampling Error

• School: Western University
• Department: Biochemistry
• Course: Biochemistry 2280A
• Professor: Beth Mac Dougall- Shackleton

Document Summary

Sample: a part of the population from which we collect information form to then draw conclusions on the entire population. Sample design: describes exactly how to choose a sample from a population. Statistical inference: process of drawing conclusion on a population based on a sample. Selection bias: we systematically favour some outcomes during sample selection process. Sampling error: difference between a sample statistic and the true population parameter, due to chance sample difference. Sample designs (can either be poor or successful: simple random samples (srs) A srs of size n consists of n individuals from the population chosen in such a way that every set of n individuals has an equal to be the sample actually selected. Always considered a random sample: stratified random sample. Population is divided into strata based on characteristics, then a random sample is drawn from each strata. This design is useful when population contains groups that are more rare or harder to reach than others.