1. © 2014 by Pearson Higher Education, Inc Upper Saddle River, New Jersey 07458 All Rights Reserved Chapter 3: Measures of Central Tendency 1 LAW-227 Statistics Instructor Erlan Bakiev, Ph. D. 2015, Fall

2. © 2014 by Pearson Higher Education, Inc Upper Saddle River, New Jersey 07458 All Rights Reserved Calculate the mode, the median, and the mean Calculate deviations Calculate the weighted mean Calculate the mode, the median, and the mean from a simple frequency distribution Understand what influences a researcher’s decision to use a specific measure of central tendency CHAPTER OBJECTIVES 3.1 3.2 3.3 3.4 3.5

3. Calculate the mode, the median, and the mean Learning Objectives After this lecture, you should be able to complete the following Learning Outcomes 3.1

4. Introduction 3.1 Measures of Central Tendency

5. 3.1 5 The most frequently occurring value in a distribution Example: 20, 21, 30, 20, 22, 20, 21, 20 –Mode = 20 Sometimes there is more than one mode –Example: 96, 91, 96, 90, 93, 90, 96, 90 –Mode = 90 and 96 This is a bimodal distribution The mode is the only measure of central tendency appropriate for nominal-level variables The Mode

6. © 2014 by Pearson Higher Education, Inc Upper Saddle River, New Jersey 07458 All Rights Reserved 3.1 Figure 3.1

7. 3.1 7 The middlemost case in a distribution Appropriate for ordinal or interval level data How to find the median: –Cases must be ordered –If there are an odd number of cases, there will be a single middlemost case –If there are an even number of cases, there will be two middlemost cases – The halfway point between these two cases should be used as the median The Median

8. The Median: Example 1 3.1 What is the median of the following distribution: 1, 5, 2, 9, 13, 11, 4

9. The Median: Example 2 3.1 What is the median of the following distribution: 4, 3, 1, 1, 6, 2, 2, 4

10. 3.1 10 The “center of gravity” of a distribution Appropriate for interval/level data The Mean

11. © 2014 by Pearson Higher Education, Inc Upper Saddle River, New Jersey 07458 All Rights Reserved 3.1 Figure 3.2

12. The Mean: Example 3.1 What is the mean of the following distribution: 4, 8, 11, 2

13. Calculate deviations Learning Objectives After this lecture, you should be able to complete the following Learning Outcomes 3.2

14. 14 The distance and direction of any raw score from the mean The sum of the deviations that fall above the mean is equal in absolute value to the sum of the deviations that fall below the mean. Deviations

15. Calculate the weighted mean Learning Objectives After this lecture, you should be able to complete the following Learning Outcomes 3.3

16. 16 The “mean of the means” The overall mean for a number of groups The Weighted Mean

17. Calculate the mode, the median, and the mean from a simple frequency distribution Learning Objectives After this lecture, you should be able to complete the following Learning Outcomes 3.4

18. 18 Obtaining the Mode, Median, and Mean from a Simple Frequency Distribution XfcffX 3112531 3012430 2912329 280220 2722254 2632078 2511725 2411624 2321546 2221344 2121142 203960 194676 182236 Mo Mdn Position of the Mdn

19. Understand what influences a researcher’s decision to use a specific measure of central tendency Learning Objectives After this lecture, you should be able to complete the following Learning Outcomes 3.5

20. Comparing the Mode, Median, and Mean 3.5 Three factors in choosing a measure of central tendency

21. 3.5 21 Level of Measurement ModeMedianMean Nominal YesNo Ordinal Yes No Interval Yes

22. 3.5 22 Symmetrical Distributions The mode, median, and mean have identical values Skewed Distributions The mode is the peak of the curve The mean is closer to the tail The median falls between the two Bimodal Distributions Both modes should be used to describe the data Shape of the Distribution

23. © 2014 by Pearson Higher Education, Inc Upper Saddle River, New Jersey 07458 All Rights Reserved 3.5 Figure 3.3

24. © 2014 by Pearson Higher Education, Inc Upper Saddle River, New Jersey 07458 All Rights Reserved 3.5 Figure 3.4

25. 3.5 25 Fast and Simple Research  Mode Skewed Distribution  Median Advanced Statistics Analysis  Mean Research Objective

26. © 2014 by Pearson Higher Education, Inc Upper Saddle River, New Jersey 07458 All Rights Reserved There are three measures of central tendency: the mode, the median, and the mean How individual scores compare to the mean of the distribution can be examined by calculating deviations The mean of means, or the weighted mean, can be calculated for multiple groups The mode, the median, and the mean can also be calculated when data are presented in a simple frequency distribution Choosing which measure of central tendency to report is influenced by the level of measurement of the data, the shape of the distribution, as well as the research objective CHAPTER SUMMARY 3.1 3.2 3.3 3.4 3.5