PSYC 2530 Chapter Notes - Chapter 6: Statistical Inference, Frequency Distribution, Binomial Distribution

• School: York University
• Department: Psychology
• Course: PSYC 2530
• Professor: Anne Russon

Document Summary

Goal of inferential statistics is to begin with a sample and then answer a general question about the population. We reach this goal in a two-stage process: 1) identify the types of samples that would probably be obtained from a specific population, 2) decide which population your sample likely came from. Probability always ranges between 0 and 1. Probability must have two components (called random sampling with replacement: equal chance, constant probability. A random sample requires that each individual in the population has an equal chance of being selected. An independent random sample requires that each individual has an equal chance of being selected and that the probability of being selected stays constant from one selection to the next if more than one individual is selected. Tschebychev: 1 sd = 68. 2, 2 sd = 95. 4, 3 sd = 99. 7% Probability = proportion of a frequency distribution located under an area of the curve.