Descriptive Statistics. Mode The mode is the most frequently occurring score in a set of scores. If two different scores occur most frequently, then it.

Slides:



Advertisements
Similar presentations
© 2008 McGraw-Hill Higher Education The Statistical Imagination Chapter 4. Measuring Averages.
Advertisements

Measures of Central Tendency. Central Tendency “Values that describe the middle, or central, characteristics of a set of data” Terms used to describe.
Review of Basics. REVIEW OF BASICS PART I Measurement Descriptive Statistics Frequency Distributions.
Review of Basics. REVIEW OF BASICS PART I Measurement Descriptive Statistics Frequency Distributions.
Descriptive Statistics Chapter 3 Numerical Scales Nominal scale-Uses numbers for identification (student ID numbers) Ordinal scale- Uses numbers for.
PPA 415 – Research Methods in Public Administration
Measures of Central Tendency. Central Tendency = values that summarize/ represent the majority of scores in a distribution Central Tendency = values that.
Intro to Descriptive Statistics
Measures of Central Tendency
CRIM 483 Descriptive Statistics.  Produces values that best represent an entire group of scores  Measures of central tendency—three types of information.
Measures of Central Tendency 3.1. ● Analyzing populations versus analyzing samples ● For populations  We know all of the data  Descriptive measures.
Chapter 3: Central Tendency
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.
Today: Central Tendency & Dispersion
Chapter 4 Measures of Central Tendency
Measures of Central Tendency CJ 526 Statistical Analysis in Criminal Justice.
Measures of Central Tendency
Measures Of Central Tendency “AVERAGES”. Measures Of Central Tendency In finding the single number that you felt best described the position at which.
Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately describes the center of the.
The Data Analysis Plan. The Overall Data Analysis Plan Purpose: To tell a story. To construct a coherent narrative that explains findings, argues against.
Means & Medians Chapter 5. Parameter - ► Fixed value about a population ► Typical unknown.
Descriptive Statistics Used to describe the basic features of the data in any quantitative study. Both graphical displays and descriptive summary statistics.
Central Tendency Quantitative Methods in HPELS 440:210.
Chapter 3: Central Tendency. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
Basic Statistics. Scales of measurement Nominal The one that has names Ordinal Rank ordered Interval Equal differences in the scores Ratio Has a true.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
Descriptive Statistics
Measures of Central Tendency Algebra 2. An average is a number that is representative group of data. There are three types of averages:  Mean- the sum.
1 Univariate Descriptive Statistics Heibatollah Baghi, and Mastee Badii George Mason University.
Measures of Central Tendency And Spread Understand the terms mean, median, mode, range, standard deviation.
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.
A way to organize data so that it has meaning!.  Descriptive - Allow us to make observations about the sample. Cannot make conclusions.  Inferential.
Chapter 2 Means to an End: Computing and Understanding Averages Part II  igma Freud & Descriptive Statistics.
Part II  igma Freud & Descriptive Statistics Chapter 2 Means to an End: Computing and Understanding Averages.
DATA MANAGEMENT MBF3C Lesson #4: Measures of Central Tendency.
Chapter 3: Central Tendency. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
BASIC STATISTICAL CONCEPTS Chapter Three. CHAPTER OBJECTIVES Scales of Measurement Measures of central tendency (mean, median, mode) Frequency distribution.
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.
Chapter 3 Measures of Central Tendency Three statistics: Mode, Median, Mean Mode median, and mean are three different statistics. They report three different.
Chapter 4 Measures of Central Tendency. 2 Central Tendency Major Points Measures of central tendency summarize the average level or magnitude of a set.
LIS 570 Summarising and presenting data - Univariate analysis.
Chapter 2 Review Using graphs/tables/diagrams to show variable relationships Understand cumulative frequency, percentile rank, and cross-tabulations Perform.
Measures of Central Tendency (MCT) 1. Describe how MCT describe data 2. Explain mean, median & mode 3. Explain sample means 4. Explain “deviations around.
A way to organize data so that it has meaning!.  Descriptive - Allow us to make observations about the sample. Cannot make conclusions.  Inferential.
definitions Data set: Data Value: Measure of Central Tendency: A group of related facts expressed as numbers. One of the entries of the data set. A single.
Descriptive Statistics Printing information at: Class website:
Chapter 4: Measures of Central Tendency. Measures of central tendency are important descriptive measures that summarize a distribution of different categories.
Measures of Central Tendency. What is a measure of central tendency? Measures of Central Tendency Mode Median Mean Shape of the Distribution Considerations.
Statistics in Science.
How to describe a graph Otherwise called CUSS
Quantitative Methods in HPELS HPELS 6210
Chapter 3 Measures Of Central Tendency
Numerical Measures: Centrality and Variability
Descriptive Statistics
Means & Medians Chapter 4.
Chapter 3: Averages and Variation
Measures of Central Tendency
Theme 4 Describing Variables Numerically
Means & Medians Chapter 4.
Descriptive Statistics
Means & Medians Chapter 5.
Decimal Applications : Mean, Median, and Mode
MEASURES OF CENTRAL TENDENCY
Means & Medians Chapter 4.
Means & Medians Chapter 5.
Means & Medians.
Measures of Central Tendency for Ungrouped Data
Means & Medians Chapter 4.
Measures of Central Tendency
Presentation transcript:

Descriptive Statistics

Mode The mode is the most frequently occurring score in a set of scores. If two different scores occur most frequently, then it is a bimodal distribution. This is the only measure of central tendency that can be used with nominal data. For instance, the mode would be the measure of choice when investigating the most frequently worn brand of tennis shoe in your high school. When a class election is based on a plurality or whoever receives the most votes, the student with the mode is the winner. The mode may be less influenced by outliers and is good at representing what is "typical" for a given group of numbers, but may be useless in cases where no number occur more than once.

Medium The median is the score that falls in the middle when scores are ranked in ascending or descending order. Thus, the median cannot be used for nominal data as it cannot be ranked. The median score is the best indicator of central tendency when there is a skew, because the median score is unaffected by extreme scores. The median is at N+1 2, where N is the number of scores. If N is odd then this will be a whole number. If N is even the position will be midway between two of the values in the set. The median gets rid of disproportionately high or low scores, but it may not adequately represent the full set of numbers.

Mean This is the arithmetic average of a set of scores. This is the score used by teachers to indicate your semester grade. The mean requires interval or ratio data and is calculated by dividing the sum of all the scores by the total number of scores. The mean is always pulled in the direction of extreme scores - the mean is pulled toward any skew of the distribution. The mean utilizes all numbers in a set to express the measure of central tendency; however, outliers can distort the overall measure.

Calculating the mean Formula for calculating the mean: X =SX/N Where X=mean, X=raw score or data point s=sum of, N=total number scores/observation

A bit of practice? TemperatureMean:Median: Week 171, 74, 76, 79, 98 Week 270, 74, 76, 78, 77 If we wanted to know what the temperatures during each of these weeks was MOST like, what would be the best indicator? Explain your reasoning.