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Psy 202, Chapter 1

by: T'Keyah Jones

Psy 202, Chapter 1 Psy 202

T'Keyah Jones
GPA 3.0
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About this Document

Lecture 1: Chapter 1 Notes
Elementary Statistics
Dr. Melinda Redding
Class Notes
Psychology, elementary statistics




Popular in Elementary Statistics

Popular in Psychology (PSYC)

This 3 page Class Notes was uploaded by T'Keyah Jones on Friday August 26, 2016. The Class Notes belongs to Psy 202 at University of Mississippi taught by Dr. Melinda Redding in Fall 2016. Since its upload, it has received 75 views. For similar materials see Elementary Statistics in Psychology (PSYC) at University of Mississippi.


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Date Created: 08/26/16
August 23, 2016 Psychology Statistics Chapter 1: Introduction to Statistics  Vocabulary Statistics Techniques used to summarize data to answer questions Refers to values that describe a sample Parameter Values that describe a population  Types of Statistics Descriptive stats Procedures for organizing, summarizing and describing data Inferential stats Methods for making inferences about a larger group of individuals on the basis of data actually  collected on a much smaller group Variable A characteristics that changes or has different values for different individual variable may be  continuous or discrete. Discrete­ values are whole numbers only Continuous­ can take on values between whole number Cases Subjects who are measured on the variables  Research design Correlational Allow researchers to study relationships between variables as they exist in the real life There is no experimental manipulation Experimental Allows researchers to draw cause and effect conclusions Researcher manipulates a variable to see what effect it has on another variable Random assignment required Quasi­experimental Similar to experimental except there is no random assignment variable that defines the groups is  the grouping variable  Explanatory v. Outcome variables Explanatory Generic term for the variable that causes, influences or precedes the other Called "predictor variable" in correlation Called "independent variable" in experimental Called "grouping variable" in quasi­experimental Outcome Generic term for variables that are caused, influenced or comes after the explanatory variable Called "criterion variable" in correlation Called "dependent variable" in experimental and quasi­experimentl  Scales Nominal Categories only Frequency counts Qualitative Ordinal In order Ranks Quantitative Interval Equal distances between numbers on the scale but has no meaningful zero point i.e. (Temperature scale) Ratio Equal distances between numbers on the scale but has a meaningful zero point which allows  ratio­type comparisons i.e. (Scales in inches) X Predicted variable Explanatory variable Grouping variable Y Criterion variable Outcome variable Examples Annual income in $: Ratio Marital Status: Nominal Number of Facebook friends: Ratio Top 5 favorite movies: Ordinal Zip codes: Nominal Letter grade: Ordinal  Statistical Notation X Outcome variable N Number of cases Σ Summation Example: 3,4,2,6 N= 4 ΣX 3 + 4 + 2 + 6 =15  (ΣX 2 15 = 225 2  ΣX  3 + 4  + 2  + 6  = 65


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