Biology 2244A/B Lecture 1: Lecture 1 – Sampling

• School: Western University
• Department: Biology
• Course: Biology 2244A/B
• Professor: Jennifer Waugh

Document Summary

Methods for planning experiments, obtaining data, & then organizing, summarizing, analyzing, interpreting, presenting, and drawing conclusions based on the data. Why is random good: unbiased does(cid:374)(cid:859)t (cid:272)ha(cid:396)a(cid:272)te(cid:396)ized o(cid:396) fo(cid:272)us o(cid:374) a pa(cid:396)ti(cid:272)ula(cid:396) pa(cid:396)t of the populatio(cid:374) Not favouring or representing just a segment of the population. Large enough sample: to reduce error, lower chance of missing a group of people (minorities) When students did the sample, the class over estimated the means (4. 3 compared to 5: selection bias students favoured certain words. Systematic favouritism in the data selection process, leading to misleading results. Procedures for selecting units from the population. All possible combinations (i. e. samples) of size n from the population are equally likely. Unbiased: not showing selection bias, showing that there is variation within samples. Best method of achieving a representative sample. Each unit of the population has an equal chance of being selected: group being selection, restricting sample, groups have equal chances.