Statistical Sciences 2244A/B Lecture Notes - Lecture 1: Statistic, Simple Random Sample, Convenience Sampling

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

Document Summary

Sampling population: the entire group of individuals (not necessarily people) about which we want information sample: the part of the population from which we actually collect information; used to draw conclusions about the entire population. Its purpose its to give information about a larger population sampling design: describes exactly how to choose a sample from the population. Age group, gender, ethnicity, etcetera: say exactly what population we want to describe, say exactly what we want to measure (to give exact de nitions of our variables) Not all statistical studies use samples that are drawn directly from the entire population of interest. In animal behaviour, it is unrealistic to capture wild animals or truly represent all of a species. Experiments rarely use samples from an entire population of interest, because of practical and ethical considerations, which is why any conclusions cannot extend from the whole population sample average/mean: average of what was measured of the sample.