PSYC 2021 Lecture Notes - Sampling Error, Extraversion And Introversion

• School: York University
• Department: Psychology
• Course: PSYC 2021
• Professor: Agnieszka Kopinska

Document Summary

Populations and samples: quantitative data: includes large numbers, behaviours, attitudes, representative samples: important for polling, the population that you"re drawing samples from depends on the question, sample. The larger the sample, the more representative of the population it is. Small samples more likelihood of error. Fluke events may cause the sample to be unrepresentative of the population. Parameter vs. statistic: parameter: mean (average) that is computed, applies to population, statistic: mean (average) that is computed, applies to sample, datum: every single observation. Plural is data": sampling error: sample is non-representative, and data is distorted. Variables: they vary": eg: in a classroom, variables include: age, level of awareness, hair colour, ethnicity, glasses vs. no glasses.