Statistics for the Behavioral Sciences Second Edition Chapter 4: Central Tendency and Variability iClicker Questions Copyright © 2012 by Worth Publishers.

Slides:



Advertisements
Similar presentations
Brought to you by Tutorial Support Services The Math Center.
Advertisements

Unit 16: Statistics Sections 16AB Central Tendency/Measures of Spread.
Exam One Review Quiz Psy302 Quantitative Methods.
Statistics for the Behavioral Sciences
Statistics for the Behavioral Sciences
Statistics for the Behavioral Sciences Second Edition Chapter 9: The Single-Sample t Test iClicker Questions Copyright © 2012 by Worth Publishers Susan.
Statistics.
Intro to Descriptive Statistics
Measures of Dispersion
Central Tendency & Variability Dec. 7. Central Tendency Summarizing the characteristics of data Provide common reference point for comparing two groups.
Central Tendency and Variability Chapter 4. Central Tendency >Mean: arithmetic average Add up all scores, divide by number of scores >Median: middle score.
1 Measures of Central Tendency Greg C Elvers, Ph.D.
Descriptive Statistics Healey Chapters 3 and 4 (1e) or Ch. 3 (2/3e)
Today: Central Tendency & Dispersion
Quiz 2 Measures of central tendency Measures of variability.
MGQ 201 WEEK 4 VICTORIA LOJACONO. Help Me Solve This Tool.
Statistics for the Behavioral Sciences Second Edition Chapter 12: Between-Groups ANOVA iClicker Questions Copyright © 2012 by Worth Publishers Susan A.
Statistics Recording the results from our studies.
Statistics 1 Measures of central tendency and measures of spread.
Statistics for the Behavioral Sciences Second Edition Chapter 11: The Independent-Samples t Test iClicker Questions Copyright © 2012 by Worth Publishers.
Chapter 3 Basic Statistics Section 2.2: Measures of Variability.
Thinking About Psychology: The Science of Mind and Behavior 2e Charles T. Blair-Broeker Randal M. Ernst.
Describing Behavior Chapter 4. Data Analysis Two basic types  Descriptive Summarizes and describes the nature and properties of the data  Inferential.
Descriptive Statistics
Central Tendency and Variability Chapter 4. Variability In reality – all of statistics can be summed into one statement: – Variability matters. – (and.
The Practice of Statistics Third Edition Chapter 1: Exploring Data 1.2 Describing Distributions with Numbers Copyright © 2008 by W. H. Freeman & Company.
An Introduction to Statistics. Two Branches of Statistical Methods Descriptive statistics Techniques for describing data in abbreviated, symbolic fashion.
1 Univariate Descriptive Statistics Heibatollah Baghi, and Mastee Badii George Mason University.
UTOPPS—Fall 2004 Teaching Statistics in Psychology.
Psychology’s Statistics. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Averages and Variation.
Statistics for the Behavioral Sciences Second Edition Copyright © 2012 by Worth Publishers Susan A. Nolan and Thomas E. Heinzen Chapter 8 Confidence Intervals,
According to researchers, the average American guy is 31 years old, 5 feet 10 inches, 172 pounds, works 6.1 hours daily, and sleeps 7.7 hours. These numbers.
Understanding Basic Statistics Fourth Edition By Brase and Brase Prepared by: Lynn Smith Gloucester County College Chapter Three Averages and Variation.
 IWBAT summarize data, using measures of central tendency, such as the mean, median, mode, and midrange.
Statistics for Psychology CHAPTER SIXTH EDITION Statistics for Psychology, Sixth Edition Arthur Aron | Elliot J. Coups | Elaine N. Aron Copyright © 2013.
Chapter 3 For Explaining Psychological Statistics, 4th ed. by B. Cohen 1 Chapter 3: Measures of Central Tendency and Variability Imagine that a researcher.
Measures of Central Tendency: The Mean, Median, and Mode
Numerical Measures of Variability
Introduction to Statistics Santosh Kumar Director (iCISA)
Chapter 3: Averages and Variation Section 2: Measures of Dispersion.
Central Tendency. Variables have distributions A variable is something that changes or has different values (e.g., anger). A distribution is a collection.
Chapter 4 Variability. Introduction Purpose of measures of variability Consider what we know if we know that the mean test score was 75 Single score to.
LIS 570 Summarising and presenting data - Univariate analysis.
Unit 2 Section 2.3. What we will be able to do throughout this part of the chapter…  Use statistical methods to summarize data  The most familiar method.
Aron, Aron, & Coups, Statistics for the Behavioral and Social Sciences: A Brief Course (3e), © 2005 Prentice Hall Chapter 2 The Mean, Variance, Standard.
Measures of Central Tendency (MCT) 1. Describe how MCT describe data 2. Explain mean, median & mode 3. Explain sample means 4. Explain “deviations around.
Data Description Chapter 3. The Focus of Chapter 3  Chapter 2 showed you how to organize and present data.  Chapter 3 will show you how to summarize.
Measures of Central Tendency, Variance and Percentage.
Central Tendency and Variability Chapter 4. Variability In reality – all of statistics can be summed into one statement: – Variability matters. – (and.
Chapter 1 Lesson 7 Variance and Standard Deviation.
Chapter 2 The Mean, Variance, Standard Deviation, and Z Scores.
An Introduction to Statistics
Measures of dispersion
Measures of Central Tendency
Teaching Statistics in Psychology
Central Tendency and Variability
Chapter 2 The Mean, Variance, Standard Deviation, and Z Scores
Central Tendency.
Statistics for the Behavioral Sciences
Numerical Descriptive Measures
Overview Created by Tom Wegleitner, Centreville, Virginia
Statistics for the Behavioral Sciences
Descriptive Statistics Healey Chapters 3 and 4 (1e) or Ch. 3 (2/3e)
Lecture 4 Psyc 300A.
Numerical Descriptive Measures
Standard Deviation Mean - the average of a set of data
Central Tendency & Variability
The Mean Variance Standard Deviation and Z-Scores
Presentation transcript:

Statistics for the Behavioral Sciences Second Edition Chapter 4: Central Tendency and Variability iClicker Questions Copyright © 2012 by Worth Publishers Susan A. Nolan and Thomas E. Heinzen

Chapter 4 1.Which of the following is an example of a measure of central tendency? a) the mean b) the median c) the mode d) all of the above

Chapter 4 (Answer) 1.Which of the following is an example of a measure of central tendency? a) the mean b) the median c) the mode d) all of the above

Chapter 4 2.Maria wants to calculate the class average for her Statistics class. She adds together her scores for Exam 1, Exam 2, and Exam 3. She then divides this total by 3. Maria has just calculated her: a) variance. b) mode. c) median. d) mean.

Chapter 4 (Answer) 2.Maria wants to calculate the class average for her Statistics class. She adds together her scores for Exam 1, Exam 2, and Exam 3. She then divides this total by 3. Maria has just calculated her: a) variance. b) mode. c) median. d) mean.

Chapter 4 3.A parameter is a number based on: a) the most frequently occurring score in a distribution of scores. b) the variance of scores. c) a sample taken from a population. d) the whole population.

Chapter 4 (Answer) 3.A parameter is a number based on: a) the most frequently occurring score in a distribution of scores. b) the variance of scores. c) a sample taken from a population. d) the whole population.

Chapter 4 4. What is the median for the following distribution of scores: 2, 2, 8, 10, 27? a) 2 b) 8 c) 27 d) 9.8

Chapter 4 (Answer) 4. What is the median for the following distribution of scores: 2, 2, 8, 10, 27? a) 2 b) 8 c) 27 d) 9.8

Chapter 4 5. Which of the following terms best describes the following distribution of scores: 2, 3, 7, 7, 7, 7, 8, 10, 15? a) unimodal b) bimodal c) multimodal d) all of these

Chapter 4 (Answer) 5. Which of the following terms best describes the following distribution of scores: 2, 3, 7, 7, 7, 7, 8, 10, 15? a) unimodal b) bimodal c) multimodal d) all of these

Chapter 4 6. Consider the following distribution of scores: 2, 2, 8, 10, 37. Within the context of this distribution, the number 37 would represent: a) an outlier. b) the range. c) the mode. d) the variance.

Chapter 4 (Answer) 6. Consider the following distribution of scores: 2, 2, 8, 10, 37. Within the context of this distribution, the number 37 would represent: a) an outlier. b) the range. c) the mode. d) the variance.

Chapter 4 7. Which type of measure of central tendency is most appropriate to use when one particular score dominates a distribution and the data are at the nominal level? a) the mean b) the median c) the mode d) none of these

Chapter 4 (Answer) 7. Which type of measure of central tendency is most appropriate to use when one particular score dominates a distribution and the data are at the nominal level? a) the mean b) the median c) the mode d) none of these

Chapter 4 8. Which of the following distribution of scores has a range of 10? a) 2, 6, 7, 9 10 b) 9, 9, 10, 11, 11 c) 3, 10, 10, 10, 10, 14 d) 102, 103, 104, 105, 106, 112

Chapter 4 (Answer) 8. Which of the following distribution of scores has a range of 10? a) 2, 6, 7, 9 10 b) 9, 9, 10, 11, 11 c) 3, 10, 10, 10, 10, 14 d) 102, 103, 104, 105, 106, 112

Chapter 4 9.The average of the squared deviations from the mean is referred to as: a) the standard deviation. b) the median. c) the range. d) the variance.

Chapter 4 (Answer) 9. The average of the squared deviations from the mean is referred to as: a) the standard deviation. b) the median. c) the range. d) the variance.

Chapter To calculate the standard deviation you can: a) square the variance. b) take the square root of the variance. c) square the mean. d) add up all the scores in the distribution of scores.

Chapter 4 (Answer) 10. To calculate the standard deviation you can: a) square the variance. b) take the square root of the variance. c) square the mean. d) add up all the scores in the distribution of scores.

Chapter 4 11.The interquartile range may be a better choice than the range if: a) you have a large set of numbers to work with. b) your median is larger than your mode. c) you have an outlier score in your data. d) your standard deviation is less than zero.

Chapter 4 (Answer) 11.The interquartile range may be a better choice than the range if: a) you have a large set of numbers to work with. b) your median is larger than your mode. c) you have an outlier score in your data. d) your standard deviation is less than zero.