PROBABILITY & STATISTICS FOR STEM

Master probability and statistics the way STEM students actually learn: clear concepts + visual intuition + lots of fully worked problems.

Probability & Statistics for STEM is a complete, student-friendly course built to help you understand the "why", practice the "how," and gain the confidence to solve exam-style questions quickly and correctly. Each topic is explained in plain language, reinforced with examples, and followed by targeted practice so you can improve step by step.

What you'll learn

Probability fundamentals: counting, conditional probability, Bayes' rule, random variables

Core distributions: binomial, geometric, Poisson, exponential, normal, and more

Descriptive statistics and data visualization: summaries, plots, correlation, regression basics

Sampling and the Central Limit Theorem (CLT)

Statistical inference: confidence intervals, hypothesis tests, p-values, and interpretation

Practical problem-solving strategies you can reuse across STEM courses

What makes this book different

Hundreds of worked examples with clear, step-by-step solutions

Lots of practice problems for each concept (with answers and solutions)

Visual explanations that make abstract ideas stick

Chapter reviews and tests to build exam readiness

Designed for engineering, computer science, biology, chemistry, physics, and data-focused majors