MINITAB Manual For Introduction ToThe Practice of …

1 MINITAB Manual ForDavid Moore and George McCabe sIntroduction To The Practice ofStatisticsMichael EvansUniversity of TorontoiiContentsPrefaceviiI MINITAB for Data Management11 ManualOverviewandConventions .. 32 Accessing and Exiting MINITAB .. 43 64 75 76 97 EnteringDataintoaWorksheet .. ImportingData .. PatternedData .. PrintingDataintheSessionWindow .. InformationaboutaWorksheet .. 218 Saving,Retrieving,andPrinting .. 249 MathematicalOperations .. ColumnandRowStatistics .. SortingData .. ComputingRanks.

2 3410 35II MINITAB for Data Analysis371 Looking at Data Tallying Data .. DescribingData .. Histograms .. BarCharts .. PieCharts .. CalculatingtheDensity .. CalculatingtheDistributionFunction .. Calculating the Inverse Distribution Function .. Normal Probability Plots .. Exercises .. 632 Looking at Data Transformations .. Exercises .. 743 Producing Exercises .. 824 Probability: The Study of Basic Probability Calculations .. MoreonSamplingfromDistributions .. Simulation for Approximating Probabilities.

3 Exercises .. 915 Sampling SimulatingSamplingDistributions .. Exercises ..1016 Introduction to .. Simulations for ConfidenceIntervals .. TheChi-SquareDistribution .. Exercises ..113 CONTENTSv7 Inference for TheStudentDistribution .. ComparingTwoSamples .. Exercises ..1248 Inference for InferenceforaSingleProportion .. Exercises ..1329 Inference for Two-Way TheChi-squareTest .. AnalyzingTablesofCounts .. Exercises ..14210 Inference for ..15311 Multiple ..16012 One-Way Analysis of A Categorical Variable and a Quantitative Variable.

4 17213 Two-Way Analysis of ..17914 Bootstrap Methods and Permutation ..18915 Nonparametric The Kruskal-Wallis Test ..195viCONTENTS16 Logistic ..20017 Statistics for Quality: Control and Producing xCharts .. ProducingSCharts ..210 AProjects213B Functions in More MINITAB ConcatenatingColumns .. ConvertingDataTypes .. History .. StackingandUnstackingColumns ..223D Programming in GlobalMacros .. StartupMacro .. InteractiveMacros .. LocalMacros ..231E Matrix Algebra in CreatingMatrices .. CommandsforMatrixOperations ..238 Index243 PrefaceThis MINITAB Manual is to be used as an accompaniment toIntroduction to thePractice of Statistics,Fifth Edition, by David S.

5 Moore and George P. McCabe,and to the CD-ROM that accompanies this text. We abbreviate the textbooktitle as IPS. It can be used with eitherMinitab Student Version 14, MinitabVersion 14 or MINITAB Version 13 running under Windows. The text is based onMinitab Student Version 14 and MINITAB Version 14, but we have also indicatedin the Manual wherever there are differences with MINITAB Version 13, in theway these versions work. The core of the Manual is a discussion of the menucommands while not neglecting to refer to the session commands, as these areneeded for certain problems.

6 The material on session commands is always atthe end of each section and can be skipped if the reader will definitely not beusing them. We have provided some Exercises for each is a statistical software package that was designed especially for theteaching of introductory statistics courses. It is our view that an easy-to-usestatistical software package is a vital and significant component of such a permits the student to focus on statistical concepts and thinking ratherthan computations or the learning of a statistical package. The main aim of anyintroductory statistics course shouldalways be the why of statistics ratherthan technical details that do little to stimulate the majority of students or, inour opinion, do little to reinforce the key concepts.

7 IPS succeeds admirably incommunicating the important basic foundations of statistical thinking, and it ishoped that this Manual serves as a useful adjunct to the is natural to ask why MINITAB is advocated for the course. In the author sexperience, ease of learning and use are the salient features of the package, withobvious benefits to the student and to the instructor, who can relegate manydetails to the software . While more sophisticated packages are necessary forhigher-level professional work, it is our experience that attempting to teach oneof these in a course forces too much attention on technical aspects.

8 The timestudents need to spend to learn MINITAB is relatively small and it is a greatvirtue. Further MINITAB will serve as a perfectly adequate tool for many of thestatistical problems students will encounter in their undergraduate Manual is divided into two parts. Part I is an Introduction that pro-vides the necessary details to start using MINITAB and, in particular, how to useworksheets. We recommend reading Part I before starting to use MINITAB . Over-all, the introductory Part I serves as a reference for most of the nonstatisticalcommands in II follows the structure of the textbook.

9 Each chapter is titled andnumbered as in IPS. The last two chapters are not in IPS but correspond tooptional material included on the CD-ROM. The MINITAB commands relevant todoing the problems in each IPS chapter are introduced and their use chapter concludes with a set of exercises, some of which are modificationsof or related to problems in IPS and many of which are new and specificallydesigned to ensure that the relevant MINITAB material has been are also appendices dealing with some more advanced features of MINITAB ,such as programming in MINITAB and matrix Manual does not attempt a complete coverage of MINITAB .

10 Rather, weintroduce and discuss those concepts in MINITAB that we feel are most relevantfor a student studying introductory statistics with IPS. We do introduce someconcepts that are, strictly speaking, not necessary for solving the problems inIPS where we feel that they were likely to prove useful in a large number ofdata analysis problems encountered outside the classroom. While the Manual sprimary goal is to teach MINITAB , generally we want to help develop strong dataanalytic skills in conjunction with the text and the to W. H. Freeman and Company for their help and thanks to Rosemary and further information on MINITAB software , contact: MINITAB Enterprise DriveState College, PA 16801 USAph.