Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 1 Chapter 1 Stats Starts Here Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 2 1 1 What Is Statistics Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 3 Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 4 Stats Starts Here Statistics gets a bad rap Statistics courses are not necessarily chosen as fun electives Statistics can be fun Learning to think clearly with data will open your eyes to seeing the world more clearly Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 5 What Is Are Statistics Statistics noun numbers values data calculations made from data We will utilize computer software to do some of the calculating for us Statistics verb a way of reasoning a collection of tools and methods designed to help us understand the world Data are values with a context Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 6 What is Statistics Really About Statistics is about variation Measuring variation Understanding variation Reducing or adapting to variation Statistics is also about making decisions in the face of incomplete information Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 7 To Do by Our Next Class Meeting Purchase the book hardback or loose leaf or just purchase the code for MyLab Mastering the e book is included in MyLab Mastering Register on http pearsonmylabandmastering com Enter your access code if you use one in UPPER CASE LETTERS When asked for your first and last name enter your name as it appears on your UT ID Our course ID Read Chapter 1 of the text Go to Lecture Notes in MyLab Mastering and print Chapter 1 notes Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 8 Our Expectations Read the textbook Reading assignments can be found in MyLab Mastering within the Read Before Class tab Bring a calculator to class each day Bring your clicker to class each day Bring the course notes on paper or electronically to class each day Work with others in the class Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 9 Class Activity In groups of 2 or 3 collect information from another student in the course be sure to write it down Introduce yourself and share the following 4 pieces of information Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 10 Class Activity Name Current or expected field of study Your reaction to the word Statistics Something interesting or funny about yourself Be prepared to introduce the person you met to the whole class Groups will be randomly selected to share all the information they gathered Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 11 1 2 Data Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 12 A Simple Survey Number of siblings Number of countries ever visited Height Favorite coffee flavor at Starbucks Shoe size Gender How could there be problems with responses to this survey Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 13 Class Activity In groups of 2 or 3 discuss possible problems one might have with getting accurate answers to the questions outlined on the previous page Be prepared to discuss what you and your teammate discussed with the class Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 14 Real Data Can Be Messy Different units of measure Ambiguous questions lead to ambiguous data Non response how will we handle Seemingly ridiculous responses how will we handle An important first step in getting meaningful data is carefully planning the data collection activity AND clearly defining the questions Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 15 What Are Data Data can be numbers record names or other labels Not all data represented by numbers are numerical data e g 1 male 2 female Data are useless without their context Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 16 Raw data What does this data tell us What does it mean Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 17 Data in a context When the data are organized given labels and put into a context the data gain meaning Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 18 The W s To provide context we need the W s Who Which What and in what units When Where Why if possible and How of the data Note the answers to who and what are essential Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 19 Sample and Population The goal is to describe the population This is usually impractical or impossible A sample is used to make inferences about the population The sample should be representative of the population Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 20 1 3 Variables Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 21 2 Types of Variables A categorical or qualitative variable is one whose possible values are given by short descriptors Sex male female eye color blue brown favorite food birth state flight status zip codes Can encode as numbers e g female 1 male 2 A special kind of categorical variable is ordinal data e g data where the order is perceived to have worth but no units like Rate your professor on a scale of 1 to 5 or ranks in the military Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 22 2 Types of Variables Cont A quantitative variable is one whose possible values must be numbers usually with units Income height inches weight pounds Ratio of left thumb length to right thumb length unitless Common business analytics quantitative variables are profit net increase tax rate days in inventory price Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 23 2 Types of Variables Cont Why do we differentiate between the two types Chapter01 Presentation 0615 Copyright 2014 2012 2009 Pearson Education Inc 24 Identifying Identifiers Identifier variables are categorical variables with exactly one individual in each category and can look like quantitative variable Unique to you Examples Social Security Number ISBN FedEx Tracking Number Should these variables be summarized graphically or numerically no What is the purpose of identifier variables To have
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