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Even You Can Learn Statistics and Analytics
An Easy to Understand Guide
Taschenbuch von David Levine (u. a.)
Sprache: Englisch

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Now fully updated for 'big data' analytics and the newest applications, Even You Can Learn Statistics and Analytics, Fourth Edition is the practical, up-to-date introduction to statistics an analyticsGÇöfor everyone!

One easy step at a time, you'll learn all the statistical techniques you'll need for finance, marketing, quality, science, social science, or anything else. Simple jargon-free explanations help you understand every technique, and realistic examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than everGÇöall updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample modelsGÇöincluding complete solutions you can put right to work in business, school, or anywhere else. Learn how to do all this, and more:

  • Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge
  • Construct and interpret statistical charts and tables with Excel or [...] Calc 3
  • Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
  • Use probability and probability distributions
  • Work with sampling distributions and confidence intervals
  • Test hypotheses with Z, t, chi-square, ANOVA, and other techniques
  • Perform powerful regression analysis and modeling
  • Use multiple regression to develop models that contain several independent variables
  • Master specific statistical techniques for quality and Six Sigma programs

Hate math? No sweat. You'll be amazed at how little you need. Like math? Optional GÇ£Equation BlackboardGÇ¥ sections reveal the mathematical foundations of statistics right before your eyes! Thought you couldn't learn statistics? You canGÇöand you will!

Now fully updated for 'big data' analytics and the newest applications, Even You Can Learn Statistics and Analytics, Fourth Edition is the practical, up-to-date introduction to statistics an analyticsGÇöfor everyone!

One easy step at a time, you'll learn all the statistical techniques you'll need for finance, marketing, quality, science, social science, or anything else. Simple jargon-free explanations help you understand every technique, and realistic examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than everGÇöall updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample modelsGÇöincluding complete solutions you can put right to work in business, school, or anywhere else. Learn how to do all this, and more:

  • Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge
  • Construct and interpret statistical charts and tables with Excel or [...] Calc 3
  • Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
  • Use probability and probability distributions
  • Work with sampling distributions and confidence intervals
  • Test hypotheses with Z, t, chi-square, ANOVA, and other techniques
  • Perform powerful regression analysis and modeling
  • Use multiple regression to develop models that contain several independent variables
  • Master specific statistical techniques for quality and Six Sigma programs

Hate math? No sweat. You'll be amazed at how little you need. Like math? Optional GÇ£Equation BlackboardGÇ¥ sections reveal the mathematical foundations of statistics right before your eyes! Thought you couldn't learn statistics? You canGÇöand you will!

Über den Autor

David M. Levine and David F. Stephan are part of a writing team known for their series of business statistics textbooks that include Basic Business Statistics, Business Statistics: A First Course, and Statistics for Managers Using Microsoft Excel. In long teaching careers at Baruch College, both were known for their classroom innovations, with Levine being honored with a Presidential Excellence Award for Distinguished Teaching Award and Stephan granted the privilege to design and develop the College's first computer-based classroom. Both are active members of the Data, Analytics and Statistics Instruction SIG of the Decision Sciences Institute.

Levine is Professor Emeritus of Information Systems at Baruch College. He is nationally recognized innovator in business statistics education and is also the coauthor of Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. Levine is also the author or coauthor of four books about statistical quality management: Statistics for Six Sigma Green Belts and Champions, Six Sigma for Green Belts and Champions, Design for Six Sigma for Green Belts and Champions, and Quality Management, 3rd Edition. He has published articles in various journals, including Psychometrika, The American Statistician, Communications in Statistics, Multivariate Behavioral Research, Journal of Systems Management, Quality Progress, and The American Anthropologist, and has given numerous talks at American Statistical Association, Decision Sciences Institute, and Making Statistics More Effective in Schools of Business conferences.

During his more than 20 years at Baruch College, Stephan devised techniques for teaching computer applications such as Microsoft Excel in a business context and developed future-forward courses that explored the effects of emerging digital technologies. He also served as the associate director of a U.S. Department of Education FIPSE project that successfully integrated interactive media into classroom instruction for the humanities.. Stephan is also the developer of PHStat, the statistics add-in for Microsoft Excel distributed by Pearson Education.

Inhaltsverzeichnis
Introduction The Even You Can Learn Statistics and Analytics Owner's Manual. xiii
Chapter 1 Fundamentals of Statistics. 1
1.1 The First Three Words of Statistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.2 The Fourth and Fifth Words. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.3 The Branches of Statistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.4 Sources of Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.5 Sampling Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
1.6 Sample Selection Methods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Chapter 2 Presenting Data in Tables and Charts . 15
2.1 Presenting Categorical Variables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
2.2 Presenting Numerical Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
2.3 Bad Charts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Chapter 3 Descriptive Statistics. 45
3.1 Measures of Central Tendency. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
3.2 Measures of Position. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
3.3 Measures of Variation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
3.4 Shape of Distributions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Chapter 4 Probability. 75
4.1 Events. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75
4.2 More Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76
4.3 Some Rules of Probability. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78
4.4 Assigning Probabilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81
Chapter 5 Probability Distributions. 87
5.1 Probability Distributions for Discrete Variables. . . . . . . . . . . . . . . . . . . . . . . . 87
5.2 The Binomial and Poisson Probability Distributions. . . . . . . . . . . . . . . . . . . . 93
5.3 Continuous Probability Distributions and the Normal Distribution . . . . . . . 100
5.4 The Normal Probability Plot. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108
Chapter 6 Sampling Distributions and Confidence Intervals. 121
6.1 Foundational Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122
6.2 Sampling Error and Confidence Intervals. . . . . . . . . . . . . . . . . . . . . . . . . . . 125
6.3 Confidence Interval Estimate for the Mean Using the t Distribution (? Unknown). . . 128
6.4 Confidence Interval Estimation for Categorical Variables . . . . . . . . . . . . . . . 131
6.5 Confidence Interval Estimation When Normality Cannot Be Assumed. . . . . 134
Chapter 7 Fundamentals of Hypothesis Testing. 145
7.1 The Null and Alternative Hypotheses. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145
7.2 Hypothesis Testing Issues. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147
7.3 Decision-Making Risks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149
7.4 Performing Hypothesis Testing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150
7.5 Types of Hypothesis Tests. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152
Chapter 8 Hypothesis Testing: Z and t Tests. 157
8.1 Test for the Difference Between Two Proportions . . . . . . . . . . . . . . . . . . . . . 157
8.2 Test for the Difference Between the Means of Two Independent Groups . . . . 163
8.3 The Paired t Test. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168
Chapter 9 Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA). 183
9.1 Chi-Square Test for Two-Way Tables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183
9.2 One-Way Analysis of Variance (ANOVA): Testing for the
Differences Among the Means of More Than Two Groups. . . . . . . . . . . . . . . 191
Chapter 10 Simple Linear Regression. 211
10.1 Basics of Regression Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211
10.2 Developing a Simple Linear Regression Model. . . . . . . . . . . . . . . . . . . . . . 214
10.3 Measures of Variation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221
10.4 Inferences About the Slope. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226
10.5 Common Mistakes When Using Regression Analysis . . . . . . . . . . . . . . . . . 229
Chapter 11 Multiple Regression. 243
11.1 The Multiple Regression Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243
11.2 Coefficient of Multiple Determination . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246
11.3 The Overall F Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246
11.4 Residual Analysis for the Multiple Regression Model . . . . . . . . . . . . . . . . . 247
11.5 Inferences Concerning the Population Regression Coefficients. . . . . . . . . . 248
Chapter 12 Introduction to Analytics. 259
12.1 Basic Concepts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259
12.2 Descriptive Analytics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265
12.3 Typical Descriptive Analytics Visualizations. . . . . . . . . . . . . . . . . . . . . . . . 269
Chapter 13 Predictive Analytics. 279
13.1 Predictive Analytics Methods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279
13.2 More About Predictive Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281
13.3 Tree Induction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284
13.4 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287
13.5 Association Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290
Appendix A Microsoft Excel Operation and Configuration . 299
Appendix B Review of Arithmetic and Algebra. 301
Appendix C Statistical Tables. 311
Appendix D Spreadsheet Tips . 339
Appendix E Advanced Techniques. 343
Appendix F Documentation for Downloadable Files. 353
9780137654765, TOC, 4/25/2022
Details
Erscheinungsjahr: 2022
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780137654765
ISBN-10: 0137654766
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Levine, David
Stephan, David
Hersteller: Pearson Education (US)
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 228 x 180 x 32 mm
Von/Mit: David Levine (u. a.)
Erscheinungsdatum: 20.06.2022
Gewicht: 0,694 kg
Artikel-ID: 120568956
Über den Autor

David M. Levine and David F. Stephan are part of a writing team known for their series of business statistics textbooks that include Basic Business Statistics, Business Statistics: A First Course, and Statistics for Managers Using Microsoft Excel. In long teaching careers at Baruch College, both were known for their classroom innovations, with Levine being honored with a Presidential Excellence Award for Distinguished Teaching Award and Stephan granted the privilege to design and develop the College's first computer-based classroom. Both are active members of the Data, Analytics and Statistics Instruction SIG of the Decision Sciences Institute.

Levine is Professor Emeritus of Information Systems at Baruch College. He is nationally recognized innovator in business statistics education and is also the coauthor of Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. Levine is also the author or coauthor of four books about statistical quality management: Statistics for Six Sigma Green Belts and Champions, Six Sigma for Green Belts and Champions, Design for Six Sigma for Green Belts and Champions, and Quality Management, 3rd Edition. He has published articles in various journals, including Psychometrika, The American Statistician, Communications in Statistics, Multivariate Behavioral Research, Journal of Systems Management, Quality Progress, and The American Anthropologist, and has given numerous talks at American Statistical Association, Decision Sciences Institute, and Making Statistics More Effective in Schools of Business conferences.

During his more than 20 years at Baruch College, Stephan devised techniques for teaching computer applications such as Microsoft Excel in a business context and developed future-forward courses that explored the effects of emerging digital technologies. He also served as the associate director of a U.S. Department of Education FIPSE project that successfully integrated interactive media into classroom instruction for the humanities.. Stephan is also the developer of PHStat, the statistics add-in for Microsoft Excel distributed by Pearson Education.

Inhaltsverzeichnis
Introduction The Even You Can Learn Statistics and Analytics Owner's Manual. xiii
Chapter 1 Fundamentals of Statistics. 1
1.1 The First Three Words of Statistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.2 The Fourth and Fifth Words. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.3 The Branches of Statistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.4 Sources of Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.5 Sampling Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
1.6 Sample Selection Methods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Chapter 2 Presenting Data in Tables and Charts . 15
2.1 Presenting Categorical Variables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
2.2 Presenting Numerical Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
2.3 Bad Charts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Chapter 3 Descriptive Statistics. 45
3.1 Measures of Central Tendency. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
3.2 Measures of Position. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
3.3 Measures of Variation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
3.4 Shape of Distributions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Chapter 4 Probability. 75
4.1 Events. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75
4.2 More Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76
4.3 Some Rules of Probability. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78
4.4 Assigning Probabilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81
Chapter 5 Probability Distributions. 87
5.1 Probability Distributions for Discrete Variables. . . . . . . . . . . . . . . . . . . . . . . . 87
5.2 The Binomial and Poisson Probability Distributions. . . . . . . . . . . . . . . . . . . . 93
5.3 Continuous Probability Distributions and the Normal Distribution . . . . . . . 100
5.4 The Normal Probability Plot. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108
Chapter 6 Sampling Distributions and Confidence Intervals. 121
6.1 Foundational Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122
6.2 Sampling Error and Confidence Intervals. . . . . . . . . . . . . . . . . . . . . . . . . . . 125
6.3 Confidence Interval Estimate for the Mean Using the t Distribution (? Unknown). . . 128
6.4 Confidence Interval Estimation for Categorical Variables . . . . . . . . . . . . . . . 131
6.5 Confidence Interval Estimation When Normality Cannot Be Assumed. . . . . 134
Chapter 7 Fundamentals of Hypothesis Testing. 145
7.1 The Null and Alternative Hypotheses. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145
7.2 Hypothesis Testing Issues. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147
7.3 Decision-Making Risks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149
7.4 Performing Hypothesis Testing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150
7.5 Types of Hypothesis Tests. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152
Chapter 8 Hypothesis Testing: Z and t Tests. 157
8.1 Test for the Difference Between Two Proportions . . . . . . . . . . . . . . . . . . . . . 157
8.2 Test for the Difference Between the Means of Two Independent Groups . . . . 163
8.3 The Paired t Test. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168
Chapter 9 Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA). 183
9.1 Chi-Square Test for Two-Way Tables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183
9.2 One-Way Analysis of Variance (ANOVA): Testing for the
Differences Among the Means of More Than Two Groups. . . . . . . . . . . . . . . 191
Chapter 10 Simple Linear Regression. 211
10.1 Basics of Regression Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211
10.2 Developing a Simple Linear Regression Model. . . . . . . . . . . . . . . . . . . . . . 214
10.3 Measures of Variation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221
10.4 Inferences About the Slope. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226
10.5 Common Mistakes When Using Regression Analysis . . . . . . . . . . . . . . . . . 229
Chapter 11 Multiple Regression. 243
11.1 The Multiple Regression Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243
11.2 Coefficient of Multiple Determination . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246
11.3 The Overall F Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246
11.4 Residual Analysis for the Multiple Regression Model . . . . . . . . . . . . . . . . . 247
11.5 Inferences Concerning the Population Regression Coefficients. . . . . . . . . . 248
Chapter 12 Introduction to Analytics. 259
12.1 Basic Concepts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259
12.2 Descriptive Analytics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265
12.3 Typical Descriptive Analytics Visualizations. . . . . . . . . . . . . . . . . . . . . . . . 269
Chapter 13 Predictive Analytics. 279
13.1 Predictive Analytics Methods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279
13.2 More About Predictive Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281
13.3 Tree Induction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284
13.4 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287
13.5 Association Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290
Appendix A Microsoft Excel Operation and Configuration . 299
Appendix B Review of Arithmetic and Algebra. 301
Appendix C Statistical Tables. 311
Appendix D Spreadsheet Tips . 339
Appendix E Advanced Techniques. 343
Appendix F Documentation for Downloadable Files. 353
9780137654765, TOC, 4/25/2022
Details
Erscheinungsjahr: 2022
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780137654765
ISBN-10: 0137654766
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Levine, David
Stephan, David
Hersteller: Pearson Education (US)
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 228 x 180 x 32 mm
Von/Mit: David Levine (u. a.)
Erscheinungsdatum: 20.06.2022
Gewicht: 0,694 kg
Artikel-ID: 120568956
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