Class Notes (1,100,000)
CA (620,000)
UOttawa (30,000)
PSY (4,000)
PSY 1101 (900)
Lecture 3

# PSY 1101 Lecture Notes - Lecture 3: Standard Deviation, Statistical Inference, Descriptive Statistics

Department
Psychology
Course Code
PSY 1101
Professor
Lecture
3

This preview shows half of the first page. to view the full 3 pages of the document.
Lecture 3
Statistical Reasoning
STATISTICAL REASONING
Introduction
!Statistics are essential, vital and fundamental for a scientific
researcher.
!Mathematical too, that helps researcher organize, summarize,
describe and draw inferences from there data.
!2 major types of stats:
o!Descriptive statistics
o!Inferential statistics
A. Descriptive Statistics
!A.1 Purpose
o!To help the researcher organize, summarize, describe his
data in an understandable way.
!A.2 Some examples
o!r is a descriptive statistic.
!!E.g. relation between height and IQ
o!Histograms or bar graphs
!!People manipulate them to make data more interesting
!!Figure 1.8 (book)
o!Percentages
!A.3 Measures of central tendency
o!Definition
!!Stats that are going to give me an idea about the
typical score in a distribution of course.
o!1. The mean
!!The average
"!Mathematical average of a distribution of
scores.
!!Going to give an idea of how the typical participant
performs.
!!Calculation
!!Caution: be extremely cautious with the mean because
mean is easily affected by extreme scores.
!!E.g. an extremely high score will bring the average up.
!!Researchers usually get rid of extreme scores.
o!2. The median
!!Definition: