Lecture (3) Description of Central Tendency. Hydrological Records.

Slides:



Advertisements
Similar presentations
Chapter 3, Numerical Descriptive Measures
Advertisements

Measures of Dispersion
Descriptive Statistics
Calculating & Reporting Healthcare Statistics
B a c kn e x t h o m e Parameters and Statistics statistic A statistic is a descriptive measure computed from a sample of data. parameter A parameter is.
Intro to Descriptive Statistics
Biostatistics Unit 2 Descriptive Biostatistics 1.
Slides by JOHN LOUCKS St. Edward’s University.
B a c kn e x t h o m e Classification of Variables Discrete Numerical Variable A variable that produces a response that comes from a counting process.
Edpsy 511 Homework 1: Due 2/6.
Coefficient of Variation
Grouped Data Calculation
Descriptive Statistics  Summarizing, Simplifying  Useful for comprehending data, and thus making meaningful interpretations, particularly in medium to.
The arithmetic mean of a variable is computed by determining the sum of all the values of the variable in the data set divided by the number of observations.
Describing Data: Numerical
Descriptive Statistics  Summarizing, Simplifying  Useful for comprehending data, and thus making meaningful interpretations, particularly in medium to.
1 Measure of Center  Measure of Center the value at the center or middle of a data set 1.Mean 2.Median 3.Mode 4.Midrange (rarely used)
Methods for Describing Sets of Data
2011 Summer ERIE/REU Program Descriptive Statistics Igor Jankovic Department of Civil, Structural, and Environmental Engineering University at Buffalo,
JDS Special Program: Pre-training1 Basic Statistics 01 Describing Data.
Modified by ARQ, from © 2002 Prentice-Hall.Chap 3-1 Numerical Descriptive Measures Chapter %20ppts/c3.ppt.
1 1 Slide Descriptive Statistics: Numerical Measures Location and Variability Chapter 3 BA 201.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 3 Descriptive Statistics: Numerical Methods.
Descriptive Statistics: Numerical Methods
STAT 280: Elementary Applied Statistics Describing Data Using Numerical Measures.
Psyc 235: Introduction to Statistics Lecture Format New Content/Conceptual Info Questions & Work through problems.
Chapter 2 Describing Data.
© 2006 McGraw-Hill Higher Education. All rights reserved. Numbers Numbers mean different things in different situations. Consider three answers that appear.
Descriptive Statistics1 LSSG Green Belt Training Descriptive Statistics.
Lecture 3 Describing Data Using Numerical Measures.
Lecture 5 Dustin Lueker. 2 Mode - Most frequent value. Notation: Subscripted variables n = # of units in the sample N = # of units in the population x.
Numerical Statistics Given a set of data (numbers and a context) we are interested in how to describe the entire set without listing all the elements.
1 Measure of Center  Measure of Center the value at the center or middle of a data set 1.Mean 2.Median 3.Mode 4.Midrange (rarely used)
INVESTIGATION 1.
Dr. Serhat Eren 1 CHAPTER 6 NUMERICAL DESCRIPTORS OF DATA.
Business Statistics Spring 2005 Summarizing and Describing Numerical Data.
1 Descriptive Statistics 2-1 Overview 2-2 Summarizing Data with Frequency Tables 2-3 Pictures of Data 2-4 Measures of Center 2-5 Measures of Variation.
1 Measures of Center. 2 Measure of Center  Measure of Center the value at the center or middle of a data set 1.Mean 2.Median 3.Mode 4.Midrange (rarely.
Chapter 3, Part A Descriptive Statistics: Numerical Measures n Measures of Location n Measures of Variability.
CHAPTER 3 : DESCRIPTIVE STATISTIC : NUMERICAL MEASURES (STATISTICS)
Describing Data Descriptive Statistics: Central Tendency and Variation.
Unit 3: Averages and Variations Week 6 Ms. Sanchez.
Business Statistics, 4e, by Ken Black. © 2003 John Wiley & Sons. 3-1 Business Statistics, 4e by Ken Black Chapter 3 Descriptive Statistics.
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall2(2)-1 Chapter 2: Displaying and Summarizing Data Part 2: Descriptive Statistics.
LIS 570 Summarising and presenting data - Univariate analysis.
CHAPTER 2: Basic Summary Statistics
Chapter 3 Descriptive Statistics: Numerical Methods.
Descriptive Statistics(Summary and Variability measures)
Describing Data: Summary Measures. Identifying the Scale of Measurement Before you analyze the data, identify the measurement scale for each variable.
Applied Quantitative Analysis and Practices LECTURE#05 By Dr. Osman Sadiq Paracha.
Statistics -Descriptive statistics 2013/09/30. Descriptive statistics Numerical measures of location, dispersion, shape, and association are also used.
Central Tendency Quartiles and Percentiles (الربيعيات والمئينات)
Exploratory Data Analysis
Methods for Describing Sets of Data
Descriptive Measures Descriptive Measure – A Unique Measure of a Data Set Central Tendency of Data Mean Median Mode 2) Dispersion or Spread of Data A.
Measures of Central Tendency
Midrange (rarely used)
NUMERICAL DESCRIPTIVE MEASURES
Descriptive Statistics
Description of Data (Summary and Variability measures)
Lecture 5,6: Measures in Statistics
Numerical Descriptive Measures
Descriptive Statistics
Descriptive Statistics: Numerical Methods
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
Numerical Descriptive Measures
CHAPTER 2: Basic Summary Statistics
Presentation transcript:

Lecture (3) Description of Central Tendency

Hydrological Records

Population vs. Sample Notation PopulationVsSample World PeopleArabs Infinite Record (i.e. very long) selected year

Different Types of Means or Averages Arithmetic Geometric Harmonic Quadratic Consider a sample of n observations, X1, X2, …, Xi, …, Xn which can be grouped into k classes with class marks x1,x2,…, xi,…, xk with corresponding absolute frequencies, f1,f2,…,fi,…,fk.

Arithmetic Mean X t X1 X2 Xi Xn

The Short Cut Method Assume the mean is =xj Calculate the deviation from the assumed mean, (xi-xj)

Geometric Mean

Geometric Mean (cont.)

Harmonic Mean

Quadratic Mean (Mean Square Value) X t X1 X2 Xi Xn

General Formula

Applications and Limitations

Applications and Limitations (Cont.)

Flow parallel to the layers Flow perpendicular to the layers

Applications and Limitations (Cont.) Quadratic mean describes dispersion, spread or scatter around the mean, and is known as the standard deviation from the mean.

Median Any value M for which at least 50% of all observations are at or above M and at least 50% are at or below M.

Median Estimation Order all observations from smallest to largest. If the number of observations is odd, it is the “middle” object, namely the [(n+1)/2]th observation. For n = 61, it is the 31 st If the number of observations is even then, to get a unique value, take the average of the (n/2)th and the (n/2 +1)th observation. For = 60, it is the average of the 30 th and the 31 st observation.

The median has “nice” properties Easy to understand (½ data above, ½ data below) Resistant measure of central tendency (location) not affected by extreme (unusual) observations.

Percentiles and Quartiles In the cumulative distribution diagram, the range is from 0 to 100%. If this range is divided into a hundred equal parts. The projection of these parts on the x-axis are percentiles and denoted by, X_0.01, X_0.02,…, X_0.99.

Percentiles, Quartiles and Median (Cont.) The 25 th and 75 th percentiles correspond to the first and third quartiles. Median (Xm): it is the second quartile, X_0.50, divides the set of observations into two numerically equal groups. Median: geometrically is the value that divides the frequency histogram into two parts having equal areas.

Graphical Representation X_0.25 X_0.50X_0.75

Mode The mode is the variate that corresponds to the largest ordinate of a frequency curve. Frequency distributions can be described as: Uni-modal, bi-model, multi-model: if it has one, two or more modes.

Mode in a Histogram 1.Mode(s) 2.Median 3.Mean

Four Rules of Summation n

Excel Application See Excel

Mean, Median, Mode Use AVERAGE or AVERAGEA to calculate the arithmetic mean Cell =AVERAGE(number1, number2, etc.) Use MEDIAN to return the middle number Cell =MEDIAN(number1, number2, etc) Use MODE to return the most common value Cell =MODE(number1, number2, etc)

Geometric Mean Use GEOMEAN to calculate the geometric mean Cell =GEOMEAN (number1, number2, etc.)

Percentiles and Quartiles Use PERCENTILE to return the kth percentile of a data set Cell =PERCENTILE(array, percentile) –Percentile argument is a value between 0 and 1 Use QUARTILE to return the given quartile of a data set Cell =QUARTILE(array, quart) –Quart is 1, 2, 3 or 4 –IQR = Q3-Q1 May return different values to statistical package