Książki

The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. Classic, yet contemporary; theoretical, yet applied--McClave & Sincich’s A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasises inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory

A First Course in Statistics, Global Edition

• Applet Correlation


• Title Page


• Copyright Page


• Contents


• Preface


• Applications Index


• Chapter 1 Statistics, Data, and Statistical Thinking


• 1.1 The Science of Statistics


• 1.2 Types of Statistical Applications


• 1.3 Fundamental Elements of Statistics


• 1.4 Types of Data


• 1.5 Collecting Data: Sampling and Related Issues


• 1.6 The Role of Statistics in Critical Thinking and Ethics


• Statistics in Action: Social Media Network Usage?Are You Linked In?


• Using Technology: MINITAB: Accessing and Listing Data


• Chapter 2 Methods for Describing Sets of Data


• 2.1 Describing Qualitative Data


• 2.2 Graphical Methods for Describing Quantitative Data


• 2.3 Numerical Measures of Central Tendency


• 2.4 Numerical Measures of Variability


• 2.5 Using The Mean and Standard Deviation to Describe Data


• 2.6 Numerical Measures of Relative Standing


• 2.7 Methods for Detecting Outliers: Box Plots and z-Scores


• 2.8 Graphing Bivariate Relationships (Optional)


• 2.9 Distorting the Truth with Descriptive Statistics


• Statistics in Action: Body Image Dissatisfaction: Real or Imagined?


• Using Technology: MINITAB: Describing Data


• TI-83/TI?84 Plus Graphing Calculator: Describing Data


• Chapter 3 Probability


• 3.1 Events, Sample Spaces, and Probability


• 3.2 Unions and Intersections


• 3.3 Complementary Events


• 3.4 The Additive Rule and Mutually Exclusive Events


• 3.5 Conditional Probability


• 3.6 The Multiplicative Rule and Independent Events


• Statistics in Action: Lotto Buster! Can You Improve Your Chance of Winning?


• Using Technology: TI-83/TI-84 Plus Graphing Calculator: Combinations and Permutations


• Chapter 4 Random Variables and Probability Distributions


• 4.1 Two Types of Random