PSY 230 Lecture Notes - Lecture 1: Statistical Inference, Descriptive Statistics, Psy

• School: University of Arizona
• Department: Psychology Main
• Course: PSY 230
• Professor: Adam Lazarewicz

Document Summary

Lecture outline #1: introduction to statistics, visual displays of data. Psychology is a science-empirical (evidence-based) approach to understanding thought and behavior statistics: mathematical branch focused on organization, analysis, and interpretation of numbers. 2 types of statistics: descriptive statistics: summarize, describe data (first 2 chapters, inferential statistics: draw conclusions, make inferences that go beyond the numbers (rest of course) Part iii: frequency tables & histograms frequency table: shows how frequently each score value was used (e. g. stress levels (0-10 scale)) (frequency/total # of scores) x100 histogram: bar graph that illustrates frequency tables. 4 steps to making a histogram: make a frequency table, put values on x-axis (lowest highest, put scale of frequencies on y-axis (0=bottom; highest frequency=top, draw bar above each value to indicate frequency of that value. Part iv: shapes of frequency distributions unimodal distribution: one high point in distribution (e. g. iq scores) bimodal distribution: two high points in distribution (e. g. age of people in park playground (children, 20-