CRI350H1 Lecture Notes - Lecture 2: Confidence Interval, Statistical Parameter, Quota Sampling

• School: UTSG
• Department: Criminology and Sociolegal Studies
• Course: CRI350H1
• Professor: All

Document Summary

Adheres to the epsem principle and are one way to minimize sampling error, allows for statistical inferences, quantitative. Test goal: just get the gist, passive understating. Four types of probability based sampling strategies: simple random sampling (srs, systematic random sampling, stratified random, cluster. Simple random sampling (srs): a technique that uses a lottery or random number table to select sequentially numbered elements randomly from a sampling frame. Systematically random sampling: a technique in which a sampling interval is calculated and, with a random start, every kth element is selected until the desired sample size is reach. Sampling ratio: the proportion of elements to be selected from the target population, this numerical value determine the range for a random start. Stratified random sampling: technique that divides the target population into homogenous subgroups (strata) and randomly chooses elements within each subgroup (stratum) Proportionate stratified sampling: technique in which each stratum is proportional in size to what exists in the target population.