PSYB04H3 Lecture Notes - Lecture 10: Statistical Inference, Anagram, Null Hypothesis
Document Summary
Data analysis: 2 types, descriptive (summarizes data, describes data you have. Inferential (uses data to draw conclusions about population: below, descriptive statistics summaries and describes the data collected. Includes range (top score minute bottom score: measures of relative standing tells you where one point is relative to other ones, ex. In exams a lot of people score in c"s then dip then high b"s. Definitions: measured of variability: range, difference between highest and lowest score, highest score subtracted by lowest score, variance, the average variability of scores [around the mean aka arithmetic] average] Inferential statistics: used to go beyond the data obtained from your sample, and make statements about the population, ex. Estimation of population parameters: take sample data and try to estimate how the same thing would be in a larger population, ex. Find this drops peoples fear factor 4 points from 6.
