CHAPTER 1: INTRODUCTION.

Slides:



Advertisements
Similar presentations
What is Statistics? Chapter One GOALS ONE
Advertisements

STATISTICAL METHODS I STATISTICAL METHODS I Prof. Elizabeth M. Role, Ph. D. Prof. Elizabeth M. Role, Ph. D.
Slide 1-1 Copyright © 2004 Pearson Education, Inc. Stats Starts Here Statistics gets a bad rap, and Statistics courses are not necessarily chosen as fun.
Elementary Statistics MOREHEAD STATE UNIVERSITY
CHAPTER 1 INTRODUCTION Prem Mann, Introductory Statistics, 8/E Copyright © 2013 John Wiley & Sons. All rights reserved.
© The McGraw-Hill Companies, Inc., by Marc M. Triola & Mario F. Triola SLIDES PREPARED BY LLOYD R. JAISINGH MOREHEAD STATE UNIVERSITY MOREHEAD.
Introduction to Statistics
A Poem The information you have is not the information you want
ROBERT MORRIS UNIVERSITY
Sociology 601: Class 1, September Syllabus Course website Objectives Prerequisites Text Homeworks Class time Exams Grading Schedule.
Biostatistics Frank H. Osborne, Ph. D. Professor.
Chapter 1 Introduction and Data Collection
Introduction to Educational Statistics
Chapter 1 The Where, Why, and How of Data Collection
Statistics Data.
STA 2023 Chapter 1 Notes. Terminology  Data: consists of information coming from observations, counts, measurements, or responses.  Statistics: the.
STATISTICS Silvia Cagnone Department of Statistics University of Bologna MIREES A cademic year 2008/2009.
Stat 1080 “Elementary Probability and Statistics” By Dr. AFRAH BOSSLY
Chapter 1 Introduction to Statistics
Probability & Statistics
BUSINESS STATISTICS BQT 173
Chap 1-1 Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall Business Statistics: A First Course 6 th Edition Chapter 1 Introduction.
© The McGraw-Hill Companies, Inc., by Marc M. Triola & Mario F. Triola SLIDES PREPARED BY LLOYD R. JAISINGH MOREHEAD STATE UNIVERSITY MOREHEAD.
1-1 Chapter One McGraw-Hill/Irwin © 2005 The McGraw-Hill Companies, Inc., All Rights Reserved.
What is Statistics Chapter 1 McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
BUSINESS STATISTICS BQT 173. CHAPTER 1 : DATA & STATISTICS.
Department of Quantitative Methods & Information Systems
What is Statistics? Chapter GOALS 1. Understand why we study statistics. 2. Explain what is meant by descriptive statistics and inferential statistics.
Introduction to Probability and Statistics Consultation time: Ms. Chong.
1.What is this graph trying to tell you? 2.Do you see anything misleading, unclear, etc.? 3.What is done well?
MADAM SITI AISYAH BINTI ZAKARIA INSTITUT MATEMATIK KEJURUTERAAN UNIVERSITI MALAYSIA PERLIS.
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin What is Statistics? Chapter 1.
Chapter 1: The Nature of Statistics
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin What is Statistics Chapter 1.
Lectures one and two What is Statistics? Lecturer: Dr. Madgerie Jameson
Prob and Stats, Aug 26 Unit 1 Review - Fundamental Terms and Definitions Book Sections: N/A Essential Questions: What are the building blocks of Statistics,
Statistics for Business and Economics Chapter 1 Statistics, Data, & Statistical Thinking.
McGraw-Hill/ Irwin © The McGraw-Hill Companies, Inc., 2003 All Rights Reserved. 1-1 Chapter One What is Statistics? GOALS When you have completed this.
Basic Business Statistics
EXPERIMENTAL DATA PROCESSING Ilya I. Ogol. There are three kinds of lies: lies, damned lies, and statistics.
An Overview of Statistics Section 1.1. Ch1 Larson/Farber 2 Statistics is the science of collecting, organizing, analyzing, and interpreting data in order.
MATH Elementary Statistics. Salary – Company A.
What Is Statistics Chapter 01 McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved.
What is Statistics Chapter 1.
Slide 1-1 Copyright © 2004 Pearson Education, Inc. Stats Starts Here Statistics gets a bad rap, and Statistics courses are not necessarily chosen as fun.
Overview and Types of Data
1 Doing Statistics for Business Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer Chapter 2 The.
Chapter 1: Getting Started Section 1: Essential question: What is statistics?
Ch1 Larson/Farber 1 1 Elementary Statistics Larson Farber Introduction to Statistics As you view these slides be sure to have paper, pencil, a calculator.
Ch1 Larson/Farber 1 1 Elementary Statistics Larson Farber Introduction to Statistics As you view these slides be sure to have paper, pencil, a calculator.
Chapter 1 Introduction 1-1. Learning Objectives  To learn the basic definitions used in statistics and some of its key concepts.  To obtain an overview.
Biostatistics Introduction Article for Review.
Biostatistics Dr. Amjad El-Shanti MD, PMH,Dr PH University of Palestine 2016.
Stat 101Dr SaMeH1 Statistics (Stat 101) Associate Professor of Environmental Eng. Civil Engineering Department Engineering College Almajma’ah University.
What is Statistics Chapter 1 McGraw-Hill/Irwin
What is Statistics? Chapter 1 McGraw-Hill/Irwin
Elementary Statistics
CHAPTER 1 INTRODUCTION Prem Mann, Introductory Statistics, 7/E Copyright © 2010 John Wiley & Sons. All right reserved.
Chapter 1 Created by Bethany Stubbe and Stephan Kogitz.
8.DATA DESCRIPTIVE.
Elementary Statistics MOREHEAD STATE UNIVERSITY
Introduction Chapter 1.
The Nature of Probability and Statistics
CHAPTER 1 INTRODUCTION Prem Mann, Introductory Statistics, 8/E Copyright © 2013 John Wiley & Sons. All rights reserved.
Statistical Reasoning and Applications
CHAPTER 1 INTRODUCTION Prem Mann, Introductory Statistics, 7/E Copyright © 2010 John Wiley & Sons. All right reserved.
Elementary Statistics MOREHEAD STATE UNIVERSITY
CHAPTER 1 INTRODUCTION Prem Mann, Introductory Statistics, 8/E Copyright © 2013 John Wiley & Sons. All rights reserved.
Chapter 1 Introduction to Statistics
CHAPTER 1 INTRODUCTION Prem Mann, Introductory Statistics, 7/E Copyright © 2010 John Wiley & Sons. All right reserved.
Presentation transcript:

CHAPTER 1: INTRODUCTION

WHAT IS STATISTICS? Definition Statistics is a group of methods used to collect, analyze, present, and interpret data and to make decisions.

TYPES OF STATISTICS Definition Descriptive Statistics consists of methods for organizing, displaying, and describing data by using tables, graphs, and summary measures.

TYPES OF STATISTICS Definition Inferential Statistics consists of methods that use sample results to help make decisions or predictions about a population.

POPULATION VERSUS SAMPLE Definition A population consists of all elements – individuals, items, or objects – whose characteristics are being studied. The population that is being studied is also called the target population.

POPULATION VERSUS SAMPLE cont. Definition A portion of the population selected for study is referred to as a sample.

Figure 1.1 Population and sample.

POPULATION VERSUS SAMPLE cont. Definition A survey that includes every member of the population is called a census. The technique of collecting information from a portion of the population is called a sample survey.

POPULATION VERSUS SAMPLE cont. Definition A sample that represents the characteristics of the population as closely as possible is called a representative sample.

POPULATION VERSUS SAMPLE cont. Definition A sample drawn in such a way that each element of the population has a chance of being selected is called a random sample. If the chance of being selected is the same for each element of the population, it is called a simple random sample.

An observation or measurement BASIC TERMS Table 1.1 2001 Sales of Seven U.S. Companies Company 2001 Sales (millions of dollars) Wal-Mart Stores IBM General Motors Dell Computer Procter & Gamble JC Penney Home Depot 217,799 85,866 177,260 31,168 39,262 32,004 53,553 Variable An observation or measurement An element or a member

BASIC TERMS cont. Definition An element or member of a sample or population is a specific subject or object (for example, a person, firm, item, state, or country) about which the information is collected.

BASIC TERMS cont. Definition A variable is a characteristic under study that assumes different values for different elements. In contrast to a variable, the value of a constant is fixed.

BASIC TERMS cont. Definition The value of a variable for an element is called an observation or measurement.

BASIC TERMS cont. Definition A data set is a collection of observations on one or more variables.

TYPES OF VARIABLES Quantitative Variables Discrete Variables Continuous Variables Qualitative or Categorical Variables

Quantitative Variables Definition A variable that can be measured numerically is called a quantitative variable. The data collected on a quantitative variable are called quantitative data.

Quantitative Variables cont. Definition A variable whose values are countable is called a discrete variable. In other words, a discrete variable can assume only certain values with no intermediate values.

Quantitative Variables cont. Definition A variable that can assume any numerical value over a certain interval or intervals is called a continuous variable.

Qualitative or Categorical Variables Definition A variable that cannot assume a numerical value but can be classified into two or more nonnumeric categories is called a qualitative or categorical variable. The data collected on such a variable are called qualitative data.

Figure 1.2 Types of variables.

CROSS-SECTION VERSUS TIME-SERIES DATA Cross-Section Data Time-Series Data

Cross-Section Data Definition Data collected on different elements at the same point in time or for the same period of time are called cross-section data.

Table 1.2 2002 Net Worth of Six Persons Name 2002 Net Worth (billions of dollars) Bill Gates Warren Buffett Helen Walton George Lucas Ted Turner Ralph Lauren 43.0 36.0 18.8 3.0 2.2 2.0

Time-Series Data Definition Data collected on the same element for the same variable at different points in time or for different periods of time are called time-series data.

Price of a 30-Second TV Commercial (million dollars) Table 1.3 Price of a 30-Second TV Commercial During Super Bowl Telecast Year Super Bowl Price of a 30-Second TV Commercial (million dollars) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 XXVII XXVIII XXIX XXX XXXI XXXII XXXIII XXXIV XXXV XXXVI XXXVII .85 .90 1.00 1.10 1.20 1.30 1.60 2.10 2.05 1.90 2.20

SOURCES OF DATA Data may be obtained from Internal sources External sources Surveys and experiments

SUMMATION NOTATION Example 1-1 Annual salaries (in thousands of dollars) of four workers are 75, 42, 125, and 61. Find ∑x (∑x)² ∑x²

Solution 1-1 ∑x = x1 + x2 + x3 + x4 = 75 + 42 + 125 + 61 = 303 = $303,000 (∑x)² = (303)² = 91,809 ∑x² = (75)² + (42)² + (125)² + (61)² = 5625 + 1764 + 15,625 + 3721 = 26,735

Example 1-2 The following table lists four pairs of m and f values: Compute the following: Σm Σf² Σmf Σm²f m 12 15 20 30 f 5 9 10 16

Solution 2-1 Table 1.4 m f f² mf m²f 12 15 20 30 5 9 10 16 5 x 5 = 25 12 x 12 x 5 = 720 15 x 15 x 9 = 2025 20 x 20 x 10 = 4000 30 x 30 x 16 = 14,400 ∑m = 77 ∑f = 40 ∑f² = 462 ∑mf = 875 ∑m²f = 21,145