Lecture 4 Psyc 300A.

Slides:

Advertisements

Similar presentations

M&Ms Statistics.

Advertisements

Brought to you by Tutorial Support Services The Math Center.

Unit 16: Statistics Sections 16AB Central Tendency/Measures of Spread.

Descriptive (Univariate) Statistics Percentages (frequencies) Ratios and Rates Measures of Central Tendency Measures of Variability Descriptive statistics.

Measures of Variability or Dispersion Range - high and lows. –Limitations: Based on only two extreme observations Interquartile range - measures variablility.

Descriptive Statistics Statistical Notation Measures of Central Tendency Measures of Variability Estimating Population Values.

Variability Measures of spread of scores range: highest - lowest standard deviation: average difference from mean variance: average squared difference.

Measures of Dispersion CJ 526 Statistical Analysis in Criminal Justice.

PPA 415 – Research Methods in Public Administration Lecture 4 – Measures of Dispersion.

Measures of Dispersion

Central Tendency & Variability Dec. 7. Central Tendency Summarizing the characteristics of data Provide common reference point for comparing two groups.

As with averages, researchers need to transform data into a form conducive to interpretation, comparisons, and statistical analysis measures of dispersion.

Business Statistics BU305 Chapter 3 Descriptive Stats: Numerical Methods.

Central Tendency and Variability Chapter 4. Central Tendency >Mean: arithmetic average Add up all scores, divide by number of scores >Median: middle score.

Quiz 2 Measures of central tendency Measures of variability.

MGQ 201 WEEK 4 VICTORIA LOJACONO. Help Me Solve This Tool.

Descriptive Statistics Anwar Ahmad. Central Tendency- Measure of location Measures descriptive of a typical or representative value in a group of observations.

Chapters 1 & 2 Displaying Order; Central Tendency & Variability Thurs. Aug 21, 2014.

Basic Statistics. Scales of measurement Nominal The one that has names Ordinal Rank ordered Interval Equal differences in the scores Ratio Has a true.

Statistics Recording the results from our studies.

Statistics 1 Measures of central tendency and measures of spread.

URBP 204A QUANTITATIVE METHODS I Statistical Analysis Lecture I Gregory Newmark San Jose State University (This lecture accords with Chapters 2 & 3 of.

BUS250 Seminar 4. Mean: the arithmetic average of a set of data or sum of the values divided by the number of values. Median: the middle value of a data.

Describing Behavior Chapter 4. Data Analysis Two basic types  Descriptive Summarizes and describes the nature and properties of the data  Inferential.

Table of Contents 1. Standard Deviation

Descriptive Statistics

Page 1 Chapter 3 Variability. Page 2 Central tendency tells us about the similarity between scores Variability tells us about the differences between.

1 Univariate Descriptive Statistics Heibatollah Baghi, and Mastee Badii George Mason University.

PSSA Coach Lesson 28 Measures of Central Tendency M11.E Unit 5: Data Analysis & Probability.

Psychology’s Statistics. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.

DATA ANALYSIS n Measures of Central Tendency F MEAN F MODE F MEDIAN.

INVESTIGATION 1.

Thinking Mathematically

Agenda Descriptive Statistics Measures of Spread - Variability.

Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.

Hotness Activity. Descriptives! Yay! Inferentials Basic info about sample “Simple” statistics.

Basic Statistical Terms: Statistics: refers to the sample A means by which a set of data may be described and interpreted in a meaningful way. A method.

LECTURE CENTRAL TENDENCIES & DISPERSION POSTGRADUATE METHODOLOGY COURSE.

 Two basic types Descriptive  Describes the nature and properties of the data  Helps to organize and summarize information Inferential  Used in testing.

Chapter 3: Averages and Variation Section 2: Measures of Dispersion.

Chapter SixteenChapter Sixteen. Figure 16.1 Relationship of Frequency Distribution, Hypothesis Testing and Cross-Tabulation to the Previous Chapters and.

Part II Sigma Freud and Descriptive Statistics Chapter 3 Vive La Différence: Understanding Variability.

Welcome to MM570 Applies Statistics for Psychology Unit 2 Seminar Dr. Bob Lockwood.

IE(DS)1 Descriptive Statistics Data - Quantitative observation of Behavior What do numbers mean? If we call one thing 1 and another thing 2 what do we.

Experimental Methods: Statistics & Correlation

Thinking Mathematically Statistics: 12.3 Measures of Dispersion.

7.3 Measures of Central Tendency and Dispersion. Mean – the arithmetic average is the sum of all values in the data set divided by the number of values.

Bio-Statistic KUEU 3146 & KBEB 3153 Bio-Statistic Data grouping and presentations Part II: Summarizing Data.

Data Analysis. Statistics - a powerful tool for analyzing data 1. Descriptive Statistics - provide an overview of the attributes of a data set. These.

Measures of Central Tendency, Variance and Percentage.

Chapter 2 The Mean, Variance, Standard Deviation, and Z Scores.

An Introduction to Statistics

Measures of Central Tendency

Warm Up What is the mean, median, mode and outlier of the following data: 16, 19, 21, 18, 18, 54, 20, 22, 23, 17 Mean: 22.8 Median: 19.5 Mode: 18 Outlier:

Central Tendency and Variability

Wednesday, September 26 Appreciating the beautiful world of data…

Science of Psychology AP Psychology

Univariate Descriptive Statistics

Theme 4 Describing Variables Numerically

Central Tendency.

Notes Over 7.7 Finding Measures of Central Tendency

Descriptive Statistics

BUS7010 Quant Prep Statistics in Business and Economics

Measures of Central Tendency

Statistics 5/19/2019.

Standard Deviation Mean - the average of a set of data

Descriptive statistics for groups:

Central Tendency & Variability

Presentation transcript:

Lecture 4 Psyc 300A

Measures of Central Tendency Mode: The most frequently occurring score Median: The midpoint in an ordered set of scores. The 50th percentile. Mean: Sum of all scores divided by the number of scores. Which measure to use?

Measures of Dispersion Range: Highest score minus lowest score. Standard Deviation: Average amount of variability in a set of scores. Technically, the square root of variance. Variance: Average squared deviation from the mean.

Formulas to Calculate the SD

Standard Deviation _ _ X (X – X) (X – X)2 8 +2 4 7 +1 1 6 0 0 5 -1 1 _ _ X (X – X) (X – X)2 8 +2 4 7 +1 1 6 0 0 5 -1 1 4 -2 4 3 -3 9 sum 0 28 s = Sqrt (28/n-1)= 1.76

Using SPSS What is SPSS? Setting up a data file Running a frequency analysis with descriptive statistics