Foundations of Data Analysis / by Mike Nguyen.

Format:

Book

Author/Creator:

Nguyen, Mike.

Series:

Mathematics and Statistics Series

Language:

English

Subjects (All):

Regression analysis.

Multivariate analysis.

Experimental design.

Linear Models and Regression.

Multivariate Analysis.

Design of Experiments.

Local Subjects:

Linear Models and Regression.

Multivariate Analysis.

Design of Experiments.

Physical Description:

1 online resource (278 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

This volume is designed not only as a foundation for mastering modern data analysis but also as a trusted companion for revision and review. Whether you're encountering these ideas for the first time or revisiting them to reinforce your understanding, this book provides a clear and structured pathway. It introduces essential topics such as descriptive statistics, probability, and statistical inference, while laying the groundwork for more advanced analytical methods. Emphasis is placed on conceptual clarity, interpretation, and practical intuition—making the material both rigorous and accessible. Rich with examples from business, economics, and policy research, this book equips students, professionals, and self-learners alike with the tools needed for applied data analysis and future modeling work.

Contents:

1 Introduction

2 Prerequisites

3 Descriptive Statistics

4 Basic Statistical Inference.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-01858-7

9783032018588

OCLC:

1543047333