Statistics: The Art and Science of Learning from Data

by Alan Agresti, Christine Franklin, Bernhard Klingenberg

For courses in introductory statistics. The Art and Science of Learning from Data The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it’s important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. Also available with MyStatLab MyStatLab ™ is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. For this edition, new web apps with complementary exercises, a tightly integrated video program, and strong exercise coverage enhance student learning. You are purchasing a standalone product; MyLab ™ & Mastering ™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase boththe physical text and MyLab & Mastering, search 0134101677 / 9780134101675 * Statistics Plus New MyStatLab with Pearson eText -- Access Card Package Package consists 0321847997 / 9780321847997 * My StatLab Glue-in Access Card 032184839X / 9780321848390 * MyStatLab Inside Sticker for Glue-In Packages 0321997832 / 9780321997838 * The Art and Science of Learning from Data

Genres: Mathematics, Psychology, Nonfiction, Academic, Reference, Textbooks, School

816 pages, Hardcover

First published January 1, 2006

Reviews

[Hojjat Sayyadi · Rating 5 out of 5]

آلن اگرستی تجربه 38 سال معلمی خودش رو تو این کتاب نشون داده و چه نشون دادنی. بهترین کتاب تدریس آمار و مفاهیم پایه در قرن بیست و یک. کتاب سایت محشری هم واسه درک بهتر و عملی مفاهیم آماری داره.

[Paul Pawlik · Rating 1 out of 5]

Gruelling and outdated.

[Jen · Rating 5 out of 5]

This was the required textbook for STAT 200 at Penn State. It was a good companion to the online lessons and I turned to it frequently for examples and alternate or better explanations of the concepts that were introduced in the instructor's online lessons. I felt it explained things clearly and in a way that helped see how all of the different tests fit together. I liked that it used examples extensively to illustrate problems and help you think them through. I'm going to keep this book for future reference and refreshing knowledge.

I actually used the looseleaf version, which I recommend for convenience. It's a heavy book and the looseleaf lets you pull out just the material that you need to read instead of having to carry the whole book.

[Mohammad · Rating 5 out of 5]

I like it's real-world problems. especially Exit polling !!

[Anastasia Sidorova · Rating 4 out of 5]

Very good book on statistics with a lot of examples. Descriptive and inferential statistic, but not much information on advanced statistics methods.

[Sergio Uribe · Rating 5 out of 5]

One of the best statistical textbooks, full of real life examples and exercises.

[Giulio Ciacchini · Rating 4 out of 5]

This textbook provides a comprehensive introduction to statistics, focusing on concepts and applications rather than complex formulas. It emphasizes the practical side of statistics while maintaining a balance with theory, making it suitable for students across various disciplines.
It is definitely, so to say, a school book which to me wasn't the best fit.

The main topics
Descriptive Statistics: Organizing and summarizing data using measures like mean, median, standard deviation, and graphical tools such as histograms and boxplots.
Probability: Basics of probability, probability distributions (like the normal and binomial), and how these underpin statistical inference.
Inferential Statistics: Estimation, confidence intervals, and hypothesis testing to draw conclusions about populations from samples.
Regression Analysis: Simple and multiple regression techniques for modeling relationships between variables.
However, more advanced topics are not explored.

Statistics is About Learning from Data: Statistics provides tools to understand patterns, summarize data, and draw meaningful conclusions. It's not just about numbers but interpreting what the data reveals about real-world situations.
Variability is Key: Understanding and managing variability in data is central to statistics. Measures like standard deviation and variance help quantify how much data points differ, enabling better insights.
Descriptive Statistics Summarize Data: Techniques like mean, median, mode, and graphical tools (e.g., histograms and boxplots) provide a snapshot of the data, making complex datasets easier to interpret.
Probability Links Data to Inference: Probability is the foundation for making predictions and drawing conclusions about populations from sample data. It bridges descriptive and inferential statistics.
Statistical Inference is Powerful: Through confidence intervals and hypothesis testing, statisticians can make predictions, estimate population parameters, and assess relationships between variables with a degree of certainty.

[Frederik Knudsen · Rating 5 out of 5]

Fantastic read that starts with a very basic but comprehensive introduction to statistics and then gradually progresses in complexity. I wish this was the first book I picked up on the topic of statistics. I will definitely recommend it for any professional analyst because it improves your understanding of data and how you gather meaningful insights from your data.

[Harrah Hanh Tran · Rating 4 out of 5]

Good explanation and practical examples. Just wish it could focus more on advanced research methodology.

[Judi · Rating 3 out of 5]

It's certainly better than the statistics texts that were available when I did my undergrad. The writing is straightforward, the examples are clear, and there are a lot of practice questions.

[jag :) · Rating 4 out of 5]

good book for a math book :)

[Aukje · Rating 5 out of 5]

Nooit meer statistiek!!