'Deviation scores' presentation slideshows

Describing distributions with numbers

Describing distributions with numbers. William P. Wattles Psychology 302. 1. Measuring the Center of a distribution. Mean The arithmetic average Requires measurement data Median The middle value Mode The most common value. 2. Measuring the center with the Mean. 3. Our first formula.

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Descriptive Statistics: Overview

Measures of Spread. Measures of Center. Range Inter-quartile Range Variance Standard deviation. Mode Median Mean. *. *. *. Measures of Symmetry. Measures of Position. Skewness. Percentile Deviation Score Z-score. *. *. Descriptive Statistics: Overview. Central tendency.

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Welcome

Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring, 2014 Room 120 Integrated Learning Center (ILC) 10:00 - 10:50 Mondays, Wednesdays & Fridays . Welcome. http://www.youtube.com/watch?v=oSQJP40PcGI. Please click in.

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Practice

Practice. Order of operations For the set of data: 4, -2, 0, -1, -4 Calculate: ?X (?X) 2 ?X 2. Practice. Order of operations For the set of data: 4, -2, 0, -1, -4 Calculate: ?X = -3 (?X) 2 =9 ?X 2 =37. The Test Scores of 3 Students. Joe = 78, 60, 92, 80, 80

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MGMT 276: Statistical Inference in Management Fall, 2013

MGMT 276: Statistical Inference in Management Fall, 2013. Welcome. Use this as your study guide. By the end of lecture today 9/24/13. Characteristics of a distribution Standard Deviation Variance Empirical Rule (areas under the curve) Review for Exam 1.

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Methods for Analyzing Mediation and Moderation

Methods for Analyzing Mediation and Moderation. Jeffrey R. Edwards University of North Carolina In honor of Lawrence R. James Georgia Institute of Technology. Overview. Two perspectives on mediation Structural equation modeling Causal steps approach Mediation versus moderation

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Mean and variations

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Measures of Central Tendency and Dispersion

Measures of Central Tendency and Dispersion. Preferred measures of central location & dispersion. NORMAL DISTRIBUTION. Bell-shaped: specific shape that can be defined as an equation Symmetrical around the mid point, where the greatest frequency if scores occur

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Intro to Statistics for the Behavioral Sciences PSYC 1900

Intro to Statistics for the Behavioral Sciences PSYC 1900. Lecture 4: The Normal Distribution and Z-Scores. Quick Review of Box-and-Whisker Plots. First find the median location and mdn Find the quartile locations Medians of the upper and lower half of distribution

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Subscript and Summation Notation

Subscript and Summation Notation. James H. Steiger. Single Subscript Notation.

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STATISTICS EXERCISE

STATISTICS EXERCISE. EDUCATIONAL RESEARCH. Organizing Data: An Array. 19 23 71 56 17 32 95 23 17 95 71 56 32 23 23 19 17 17. Array: Quiz Scores. 14.75 12 11.5 13.5 14.75 14.75 13 12.5 13.5 14.75 14.75 14.75 13.50 13.50 13.00

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Numerical Measures of Variability

Numerical Measures of Variability. Measures of Variability. Measures of Variability are a set of characteristics that examine the dispersion or spread of the distribution that the researcher may be interested in.

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Central Tendency

Central Tendency. Variables have distributions. A variable is something that changes or has different values (e.g., anger). A distribution is a collection of measures, usually across people. Distributions of numbers can be summarized with numbers (called statistics or parameters).

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Chapter 2

Chapter 2. Central Tendency & Variability Tues. Aug. 27, 2013. Measures of Central Tendency The Mean. Sum of all the scores divided by the number of scores Mean of 7,8,8,7,3,1,6,9,3,8 ? X = N = 10 Mean (or M) =. The Mode. Most common single number in a distribution

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Related Samples t-test

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Summation Algebra Proofs

Summation Algebra Proofs. James H. Steiger. Sum of Deviation Scores. Prove that, in any list of numbers, the sum of the deviation scores is zero, that is,. Linear Transformation Rule for Means.

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