Introductory Statistics Achieve access card

1. Auflage 2022
ISBN: 978-1-319-45013-7
Verlag: WH Freeman

Medienkombination, Englisch, Book + Access Card, Format (B × H): 155 mm x 235 mm

A Problem Solving Approach

Now available with Macmillan’s Achieve, Introductory Statistics helps students develop the fundamental lifelong skill of solving problems and interpreting solutions in real-world terms. One of our goals was to make this problem-solving approach accessible and easy to apply in many situations. We certainly want students to appreciate the beauty of statistics and connections to so many other disciplines. However, it is even more important for students to be able to apply problem-solving skills to a wide range of academic and career pursuits, including business, science and technology, and education.
Achieve for Introductory Statistics connects the problem-solving approach and real-world examples in the book to rich digital resources that foster further understanding and application of statistics. Assets in Achieve support learning before, during, and after class for students, while providing instructors with class performance analytics in an easy-to-use interface.

Autoren/Hrsg.

Kokoska, Stephen

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Chapter 0 Why Study StatisticsChapter 1 An Introduction to Statistics and Statistical InferenceChapter 2 Tables and Graphs for Summarizing DataChapter 3 Numerical Summary MeasuresChapter 4 ProbabilityChapter 5 Random Variables and Discrete Probability DistributionsChapter 6 Continuous Probability DistributionsChapter 7 Sampling DistributionsChapter 8 Confidence Intervals Based on a Single SampleChapter 9 Hypothesis Tests Based on a Single SampleChapter 10 Confidence Intervals and Hypothesis Tests Based on Two Samples or TreatmentsChapter 11 The Analysis of VarianceChapter 12 Correlation and Linear RegressionChapter 13 Categorical Data and Frequency TablesChapter 14 Nonparametric Statistics
Optional Sections(available online at macmillanlearning.com/introstats3e):Section 6.5 The Normal Approximation to the Binomial DistributionSection 12.6 The Polynomial and Qualitative Predictor ModelsSection 12.7 Model Selection Procedures

Über Autor(innen)

Steve Kokoska received his undergraduate degree from Boston College, and his M.S and Ph.D. from the University of New Hampshire. His initial research interests included the statistical analysis of cancer chemoprevention experiments. He has published a number of research papers in mathematics journals, including: Biometrics, Anticancer Research, and Computer Methods and Programs in Biomedicine. He has also presented results at national conferences, written several books, and been awarded grants from the National Science Foundation, the Center for Rural Pennsylvania, and the Ben Franklin Program.
Steve is a long-time consultant for the College Board and conducted workshops in Brazil, the Dominican Republic, and China. He was the AP Calculus Chief Reader for four years, and has been involved with calculus reform and the use of technology in the classroom. He has been teaching at Bloomsburg University for 25years and recently served as Director of the Honors Program.
Steve has been teaching introductory statistics classes throughout his academic career, and there is no doubt that this is his favorite course. This class (and text) provides students with basic, life-long, quantitative skills that they will use in almost any job and teaches them how to think and reason logically. Steve believes very strongly in data-driven decisions and conceptual understanding through problem solving.