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Even You Can Learn Statistics and Analytics: An Easy to Understand Guide 4th edition [Pehme köide]

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  • Formaat: Paperback / softback, 400 pages, kõrgus x laius x paksus: 232x178x24 mm, kaal: 680 g
  • Sari: Pearson Business Analytics Series
  • Ilmumisaeg: 20-Jun-2022
  • Kirjastus: Addison Wesley
  • ISBN-10: 0137654766
  • ISBN-13: 9780137654765
Teised raamatud teemal:
Even You Can Learn Statistics and Analytics: An Easy to Understand Guide 4th editionSuurem pilt
  • Formaat: Paperback / softback, 400 pages, kõrgus x laius x paksus: 232x178x24 mm, kaal: 680 g
  • Sari: Pearson Business Analytics Series
  • Ilmumisaeg: 20-Jun-2022
  • Kirjastus: Addison Wesley
  • ISBN-10: 0137654766
  • ISBN-13: 9780137654765
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780137654765.html
Märksõnad:
THE GUIDE FOR ANYONE AFRAID TO LEARN STATISTICS & ANALYTICS UPDATED WITH NEW EXAMPLES & EXERCISES







This book discusses statistics and analytics using plain language and avoiding mathematical jargon. If you thought you couldn't learn these data analysis subjects because they were too technical or too mathematical, this book is for you!







This edition delivers more everyday examples and end-of-chapter exercises and contains updated instructions for using Microsoft Excel. You'll use downloadable data sets and spreadsheet solutions, template-based solutions you can put right to work. Using this book, you will understand the important concepts of statistics and analytics, including learning the basic vocabulary of these subjects.











Create tabular and visual summaries and learn to avoid common charting errors Gain experience working with common descriptive statistics measures including the mean, median, and mode; and standard deviation and variance, among others Understand the probability concepts that underlie inferential statistics Learn how to apply hypothesis tests, using Z, t, chi-square, ANOVA, and other techniques Develop skills using regression analysis, the most commonly-used Inferential statistical method Explore results produced by predictive analytics software Choose the right statistical or analytic techniques for any data analysis task Optionally, read the Equation Blackboards, designed for readers who want to learn about the mathematical foundations of selected methods
Introduction: The Even You Can Learn Statistics and Analytics Owner's Manual xiii
Chapter 1 Fundamentals of Statistics
1(14)
1.1 The First Three Words of Statistics
2(2)
1.2 The Fourth and Fifth Words
4(1)
1.3 The Branches of Statistics
4(1)
1.4 Sources of Data
5(2)
1.5 Sampling Concepts
7(1)
1.6 Sample Selection Methods
8(7)
Chapter 2 Presenting Data in Tables and Charts
15(30)
2.1 Presenting Categorical Variables
15(8)
2.2 Presenting Numerical Variables
23(6)
2.3 "Bad" Charts
29(16)
Chapter 3 Descriptive Statistics
45(30)
3.1 Measures of Central Tendency
45(4)
3.2 Measures of Position
49(5)
3.3 Measures of Variation
54(5)
3.4 Shape of Distributions
59(16)
Chapter 4 Probability
75(12)
4.1 Events
75(1)
4.2 More Definitions
76(2)
4.3 Some Rules of Probability
78(3)
4.4 Assigning Probabilities
81(6)
Chapter 5 Probability Distributions
87(34)
5.1 Probability Distributions for Discrete Variables
87(6)
5.2 The Binomial and Poisson Probability Distributions
93(7)
5.3 Continuous Probability Distributions and the Normal Distribution
100(8)
5.4 The Normal Probability Plot
108(13)
Chapter 6 Sampling Distributions and Confidence Intervals
121(24)
6.1 Foundational Concepts
122(3)
6.2 Sampling Error and Confidence Intervals
125(3)
6.3 Confidence Interval Estimate for the Mean Using the t Distribution (o Unknown)
128(3)
6.4 Confidence Interval Estimation for Categorical Variables
131(3)
6.5 Confidence Interval Estimation When Normality Cannot Be Assumed
134(11)
Chapter 7 Fundamentals of Hypothesis Testing
145(12)
7.1 The Null and Alternative Hypotheses
145(2)
7.2 Hypothesis Testing Issues
147(2)
7.3 Decision-Making Risks
149(1)
7.4 Performing Hypothesis Testing
150(2)
7.5 Types of Hypothesis Tests
152(5)
Chapter 8 Hypothesis Testing: Z and t Tests
157(26)
8.1 Test for the Difference Between Two Proportions
157(6)
8.2 Test for the Difference Between the Means of Two Independent Groups
163(5)
8.3 The Paired t Test
168(15)
Chapter 9 Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA)
183(28)
9.1 Chi-Square Test for Two-Way Tables
183(8)
9.2 One-Way Analysis of Variance (ANOVA): Testing for the Differences Among the Means of More Than Two Groups
191(20)
Chapter 10 Simple Linear Regression
211(32)
10.1 Basics of Regression Analysis
211(3)
10.2 Developing a Simple Linear Regression Model
214(7)
10.3 Measures of Variation
221(5)
10.4 Inferences About the Slope
226(3)
10.5 Common Mistakes When Using Regression Analysis
229(14)
Chapter 11 Multiple Regression
243(16)
11.1 The Multiple Regression Model
243(3)
11.2 Coefficient of Multiple Determination
246(1)
11.3 The Overall F Test
246(1)
11.4 Residual Analysis for the Multiple Regression Model
247(1)
11.5 Inferences Concerning the Population Regression Coefficients
248(11)
Chapter 12 Introduction to Analytics
259(20)
12.1 Basic Concepts
259(6)
12.2 Descriptive Analytics
265(4)
12.3 Typical Descriptive Analytics Visualizations
269(10)
Chapter 13 Predictive Analytics
279(20)
13.1 Predictive Analytics Methods
279(2)
13.2 More About Predictive Models
281(3)
13.3 Tree Induction
284(3)
13.4 Clustering
287(3)
13.5 Association Analysis
290(9)
Appendix A Microsoft Excel Operation and Configuration
299(2)
A.1 Conventions for Keystroke and Mouse Operations
299(1)
A.2 Microsoft Excel Technical Configuration
300(1)
Appendix B Review of Arithmetic and Algebra
301(10)
Assessment Quiz
301(2)
Symbols
303(7)
Answers to Quiz
310(1)
Appendix C Statistical Tables
311(28)
Appendix D Spreadsheet Tips
339(4)
Chart Tips
339(2)
Function Tips
341(2)
Appendix E Advanced Techniques
343(10)
Advanced How-To Tips
343(6)
Analysis ToolPak Tips
349(4)
Appendix F Documentation for Downloadable Files
353(4)
F1 Downloadable Data Files
353(2)
F2 Downloadable Spreadsheet Solution Files
355(2)
Index 357
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.