STAB22H3 Chapter Notes - Chapter 12: Simple Random Sample, Statistical Parameter, Sampling Frame

• School: UTSC
• Department: Statistics
• Course: STAB22H3
• Professor: Mahinda Samarakoon

Document Summary

Sample: a (representative) subset of a population, examined in the hope of learning. Population: the entire group of individuals or instances about whom we hope to learn. Terms; (p. 282). about the population (p. 282). the hope of learning something about the entire population. Polls taken to assess voter preferences are common sample surveys (p. 282). Biased sampling methods tend to over- or underestimate parameters. It is almost impossible to recover from bias, so efforts to avoid it are well spent (p. 282). Bias: any systematic failure of a sampling method to represent its population is bias. Sample survey: a study that asks questions of a sample drawn from some population in. Randomization: the best defense against bias is randomization, in which each. Statistic, sample statistic: statistics are values calculated for sampled data. Those that individual is given a fair, random chance of selection (p. 283). Sample size: the number of individuals in a sample.