Central Tendency of Distributions (Mean, Median, Mode)

Slides:



Advertisements
Similar presentations
Monday, October 1 Distributions, Percentiles, and Central Tendency.
Advertisements

© 2008 McGraw-Hill Higher Education The Statistical Imagination Chapter 4. Measuring Averages.
Statistics.
Measures of Central Tendency. Central Tendency “Values that describe the middle, or central, characteristics of a set of data” Terms used to describe.
Lesson Fourteen Interpreting Scores. Contents Five Questions about Test Scores 1. The general pattern of the set of scores  How do scores run or what.
Descriptive Statistics Chapter 3 Numerical Scales Nominal scale-Uses numbers for identification (student ID numbers) Ordinal scale- Uses numbers for.
Descriptive Statistics Statistical Notation Measures of Central Tendency Measures of Variability Estimating Population Values.
PPA 415 – Research Methods in Public Administration
Descriptive Statistics
PPA 415 – Research Methods in Public Administration Lecture 4 – Measures of Dispersion.
EDUC 200C Section 1– Describing Data Melissa Kemmerle September 28, 2012.
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.
Measures of Central Tendancy Press Ctrl-A ©2009 G Dear – Not to be sold/Free to use Stage 4 Years 7 & 8.
Measures of Central Tendency Jan Sands 2007 Mean, Median, Mode, Range.
Chapter 4 Measures of Central Tendency
What is statistics? STATISTICS BOOT CAMP Study of the collection, organization, analysis, and interpretation of data Help us see what the unaided eye misses.
Psy302 Quantitative Methods
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.
PPA 501 – Analytical Methods in Administration Lecture 5a - Counting and Charting Responses.
Describing Data Statisticians describe a set of data in two general ways. Statisticians describe a set of data in two general ways. –First, they compute.
Central Tendency and Variability Chapter 4. Variability In reality – all of statistics can be summed into one statement: – Variability matters. – (and.
1 Univariate Descriptive Statistics Heibatollah Baghi, and Mastee Badii George Mason University.
Psychology’s Statistics. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
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.
INVESTIGATION 1.
Thinking Mathematically
Dr. Serhat Eren 1 CHAPTER 6 NUMERICAL DESCRIPTORS OF DATA.
Research Methods. Measures of Central Tendency You will be familiar with measures of central tendency- averages. Mean Median Mode.
Part II  igma Freud & Descriptive Statistics Chapter 2 Means to an End: Computing and Understanding Averages.
Introduction to Statistics Santosh Kumar Director (iCISA)
Chapter 3: Averages and Variation Section 2: Measures of Dispersion.
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.
Statistical Analysis of Data. What is a Statistic???? Population Sample Parameter: value that describes a population Statistic: a value that describes.
Measures Of Central Tendency
Measures of Central Tendency Mean, Median, Mode, and Range.
Standardized Testing. Basic Terminology Evaluation: a judgment Measurement: a number Assessment: procedure to gather information.
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.
Notes 5.1 Measures of Central Tendency A measure of central tendency is a single number that is used to represent a set of data. Measures of central tendency.
Measures of Central Tendency (MCT) 1. Describe how MCT describe data 2. Explain mean, median & mode 3. Explain sample means 4. Explain “deviations around.
Statistics Josée L. Jarry, Ph.D., C.Psych. Introduction to Psychology Department of Psychology University of Toronto June 9, 2003.
Psychology’s Statistics Appendix. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
Measures of Central Tendency, Variance and Percentage.
Applied Quantitative Analysis and Practices LECTURE#05 By Dr. Osman Sadiq Paracha.
Chapter 2 The Mean, Variance, Standard Deviation, and Z Scores.
Measures of Central Tendency. What is a measure of central tendency? Measures of Central Tendency Mode Median Mean Shape of the Distribution Considerations.
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:
Chapter 3 Measures Of Central Tendency
Wednesday, September 26 Appreciating the beautiful world of data…
Distributions, Percentiles, and Central Tendency
Chapter 2 The Mean, Variance, Standard Deviation, and Z Scores
More basics: central tendency, variability, populations and samples.
Central Tendency Central Tendency – measures of location for a distribution Mode – the commonly occurring number in a data set Median – the middle score.
Central Tendency.
Descriptive Statistics
11.1 Measures of Center and Variation
Measures of Central Tendency
Making Sense of Measures of Center Investigation 2
Distributions, Percentiles, and Central Tendency
Section 13.4 Measures of Central Tendency
Mean, Median, Mode & Range
Distributions, Percentiles, and Central Tendency
Measures of Central Tendency
Lecture 4 Psyc 300A.
Descriptive statistics for groups:
Central Tendency & Variability
The Mean Variance Standard Deviation and Z-Scores
Presentation transcript:

Central Tendency of Distributions (Mean, Median, Mode) Wednesday, September 30 Central Tendency of Distributions (Mean, Median, Mode)

The mode is the score with the highest frequency of occurrences. It is the easiest score to spot in a distribution. It is the only way to express the central tendency of a nominal level variable.

The median. The median is the middle-ranked score (50th percentile). If there is an even number of scores, it is the arithmetic average of the two middle scores. The median is unchanged by outliers. Even if Bill Gates were deleted from the U.S. economy, the median asset of U.S. citizens would remain (more or less) the same.

 _ Xi X The Mean The mean is the arithmetic average of the scores. _________ i X = N

 _ Xi X The Mean The mean is the arithmetic average of the scores. The mean is the center of gravity of a distribution. Deleting Bill Gates’ assets would change the national mean income. _  Xi _________ i X = N

The mean of a group of scores is that point on the number line such that the sum of the squared distances of all scores to that point is smaller than the sum of the squared distances to any other point.

The Mean The sum of squared deviations from the Mean is at the lowest value. _ ( ) 2  Xi - X is lowest

The Mean The sum of squared deviations from the Mean is at the lowest value. _ ( ) 2  Xi - X is lowest _ X

The Mean The mean is the arithmetic average of the scores. The mean is the center of gravity of a distribution. Deleting Bill Gates’ assets would change the national mean! The sum of squared deviations from the Mean is at the lowest value. The mean is not a good measure of central tendency if there are outliers.