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Psy 202 Exam 1 Study Guide

by: T'Keyah Jones

Psy 202 Exam 1 Study Guide Psy 202

Marketplace > University of Mississippi > Psychology (PSYC) > Psy 202 > Psy 202 Exam 1 Study Guide
T'Keyah Jones
GPA 3.0

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About this Document

This study guide cover formulas, terms and symbols for Chapters 1-4.
Elementary Statistics
Dr. Melinda Redding
Study Guide
elementary statistics, Psychology
50 ?




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This 3 page Study Guide was uploaded by T'Keyah Jones on Monday September 12, 2016. The Study Guide belongs to Psy 202 at University of Mississippi taught by Dr. Melinda Redding in Fall 2016. Since its upload, it has received 72 views. For similar materials see Elementary Statistics in Psychology (PSYC) at University of Mississippi.

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Date Created: 09/12/16
Exam 1 Study Guide This Study Guide covers the following chapters: Chapter 1: Intro to Statistics Chapter 2: Frequency Distribution and Graphs Chapter 3: Measures of Central Tendency and Variance Chapter 4: Standard Scores, the Normal Distribution and Probability a. Symbols X Outcome variable N Number of cases ∑ Summation/ (to sum up) F Frequency µ Population mean Z Z-scores M Sample mean σ2 Variance population s2 Sample population P Proportion p Probability SS Sum of square b.Terms Nominal Categories Qualitative Central Tendency Use: Mode Interval Equal distance between numbers Has no meaningful zero point If Normal distribution: Mean If Skewed: Median Ordinal In order/Ranks Quantitative Central Tendency Use: Median Ratio Equal distance between numbers Has a meaningful zero If Normal Distribution: Mean If Skewed: Median Discrete numbers Nominal Ordinal Graphs: Pie chart and Bar graph Continuous numbers Ratio Interval Graphs: Histogram and Frequency polygon Mean The average Median Middle score Mode Score occurs the most Normal Distribution Mean, Median and Mode have the same value c. Formulas ∑X ex: 3+4+2+6=15 2 (∑X) ex: 15 = 225 2 ∑X 2 2 2 2 ex: 3 + 4 + 2 + 6 =65 2 Variance σ = ∑(X-µ) N (Definitional) 2 2 s = ∑(X-M) N-1 2 2 2 Variance σ = ∑ X – (∑X) (Computation N__ al) N 2 2 2 s = ∑ X – (∑X) N__ N-1 z-scores z= X-µ σ z= X-M σ


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