Describing Data with Numerical Values (Chapter 2)

Slides:



Advertisements
Similar presentations
Chap 3-1 EF 507 QUANTITATIVE METHODS FOR ECONOMICS AND FINANCE FALL 2008 Chapter 3 Describing Data: Numerical.
Advertisements

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.
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Ch. 2-1 Statistics for Business and Economics 7 th Edition Chapter 2 Describing Data:
CHAPTER 3: Statistical Description of Data
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 3-1 Introduction to Statistics Chapter 3 Using Statistics to summarize.
Measures of Dispersion
Business Statistics BU305 Chapter 3 Descriptive Stats: Numerical Methods.
Chap 3-1 Statistics for Business and Economics, 6e © 2007 Pearson Education, Inc. Chapter 3 Describing Data: Numerical Statistics for Business and Economics.
Descriptive Statistics  Summarizing, Simplifying  Useful for comprehending data, and thus making meaningful interpretations, particularly in medium to.
Describing Data: Numerical
Chapter 2 Describing Data with Numerical Measurements
Describing Data Using Numerical Measures
Descriptive Statistics  Summarizing, Simplifying  Useful for comprehending data, and thus making meaningful interpretations, particularly in medium to.
Chapter 2 Describing Data with Numerical Measurements General Objectives: Graphs are extremely useful for the visual description of a data set. However,
Numerical Descriptive Techniques
1 1 Slide © 2009 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
© Copyright McGraw-Hill CHAPTER 3 Data Description.
Copyright © 2005 Pearson Education, Inc. Slide 6-1.
1 Review Descriptive Statistics –Qualitative (Graphical) –Quantitative (Graphical) –Summation Notation –Qualitative (Numerical) Central Measures (mean,
STAT 280: Elementary Applied Statistics Describing Data Using Numerical Measures.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 3-1 Business Statistics: A Decision-Making Approach 6 th Edition Chapter.
1 1 Slide © 2007 Thomson South-Western. All Rights Reserved.
Descriptive Statistics1 LSSG Green Belt Training Descriptive Statistics.
Lecture 3 Describing Data Using Numerical Measures.
Applied Quantitative Analysis and Practices LECTURE#09 By Dr. Osman Sadiq Paracha.
Dr. Serhat Eren 1 CHAPTER 6 NUMERICAL DESCRIPTORS OF DATA.
Chap 3-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course In Business Statistics 4 th Edition Chapter 3 Describing Data Using Numerical.
Determination of Sample Size: A Review of Statistical Theory
Displaying Quantitative Data Graphically and Describing It Numerically AP Statistics Chapters 4 & 5.
Statistics Chapter 1: Exploring Data. 1.1 Displaying Distributions with Graphs Individuals Objects that are described by a set of data Variables Any characteristic.
Chapter 3 Data Description Section 3-3 Measures of Variation.
Numerical Measures of Variability
A.P. STATISTICS – UNIT 1 VOCABULARY (1) Types of Univariate Graphs -- * Histogram * Frequency Distribution * Dot Plot * Stem-and-Leaf Plot (“Stemplot”)
Copyright © 2005 Pearson Education, Inc. Slide 6-1.
Chapter 5: Measures of Dispersion. Dispersion or variation in statistics is the degree to which the responses or values obtained from the respondents.
Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
Psychology 202a Advanced Psychological Statistics September 8, 2015.
MODULE 3: DESCRIPTIVE STATISTICS 2/6/2016BUS216: Probability & Statistics for Economics & Business 1.
Statistical Methods © 2004 Prentice-Hall, Inc. Week 3-1 Week 3 Numerical Descriptive Measures Statistical Methods.
Describing Data: Summary Measures. Identifying the Scale of Measurement Before you analyze the data, identify the measurement scale for each variable.
Statistics -Descriptive statistics 2013/09/30. Descriptive statistics Numerical measures of location, dispersion, shape, and association are also used.
Ch part 2 Review of Ch. 2: Data - stem and leaf, dotplots,… Summary of Ch. 3: Averages, standard deviation 5 number summaries Empirical Rule Z scores.
AP Review Exploring Data. Describing a Distribution Discuss center, shape, and spread in context. Center: Mean or Median Shape: Roughly Symmetrical, Right.
Chapter 2 Describing Data: Numerical
Math 201: Chapter 2 Sections 3,4,5,6,7,9.
Business and Economics 6th Edition
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.
Chapter 3 Describing Data Using Numerical Measures
2.5: Numerical Measures of Variability (Spread)
Descriptive Statistics
Descriptive Statistics: Numerical Methods
Ch 4 實習.
Describing, Exploring and Comparing Data
Chapter 6 ENGR 201: Statistics for Engineers
CHAPTER 3 Data Description 9/17/2018 Kasturiarachi.
Averages and Variation
Summary Statistics 9/23/2018 Summary Statistics
Chapter 3 Describing Data Using Numerical Measures
Numerical Descriptive Measures
Descriptive Statistics: Numerical Methods
Describing Data with Numerical Measures
BUS173: Applied Statistics
Chapter 3 Section 4 Measures of Position.
Quartile Measures DCOVA
Means & Medians.
Click the mouse button or press the Space Bar to display the answers.
BUSINESS MATHEMATICS & STATISTICS.
MBA 510 Lecture 2 Spring 2013 Dr. Tonya Balan 4/20/2019.
Business and Economics 7th Edition
Presentation transcript:

Describing Data with Numerical Values (Chapter 2) Lectures 3-4 Week2 Describing Data with Numerical Values (Chapter 2) 1/18/2019 Chapter 2

Terminology and Types of Measures Measures associated to Population: Parameters Measures associated to a sample: Statistics Population Sample 1/18/2019 Chapter 2

Two kinds of measures Measures of Location, center, position Measures of dispersion, shape, variability 1/18/2019 Chapter 2

Measures of location The mean The median The mode Example 1/18/2019 Chapter 2

Relationship between mean and median Median is robust If data symmetric, mean=median If right-skewed data, mean shifts to right If left-skewed data, mean shifts to left. Median unchanged. 1/18/2019 Chapter 2

Measures of Dispersion Range Example Variance Shortcut formula Standard deviation Advantage: has same unit as data. 1/18/2019 Chapter 2

Practical significance of standard deviation Chebychev’s Theorem Example Empirical rule (symmetric data) Measures of relative standing Z-score, Outliers 1/18/2019 Chapter 2

Quartiles, Box-plots Q1=1st quartile Q2=median Q3=3rd quartile IQR=Q3-Q1 Computing Formulae and Examples Box-plot Outliers 1/18/2019 Chapter 2

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.