
Essential Statistics: 2025 Release
by William Navidi, Barry Monk
Publisher: McGraw Hill
Book Details
| Print ISBN | 9781264664139 |
| eText ISBN | 9781260492293 |
| Publisher | McGraw Hill |
| Publishing Year | 2025 |
| Language | English |
| Pages | 1937 |
Essential Statistics: 2025 Release is an introductory textbook designed for a first course in statistics. Requiring basic algebra as its mathematical prerequisite, the volume pairs computational mechanics with clear explanations of underlying concepts.
Coverage introduces foundational principles across three broad areas: descriptive data summaries, probability models, and statistical inference. Discussions address core methods for analyzing quantitative patterns, including practical techniques such as hypothesis testing.
Written by practicing statisticians who sought to ensure technical accuracy, the work uses an engaging and straightforward writing style. This approach enables instructors to explore quantitative topics in depth while keeping explanations accessible and easy for students to read.
Table of Contents
Chapter 1: Basic Ideas
Chapter 2: Graphical Summaries of Data
Chapter 3: Numerical Summaries of Data
Chapter 4: Probability
Chapter 5: Discrete Probability Distributions
Chapter 6: The Normal Distribution
Chapter 7: Confidence Intervals
Chapter 8: Hypothesis Testing
Chapter 9: Inferences on Two Samples
Chapter 10: Tests with Qualitative Data
Chapter 11: Correlation and Regression
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