Applied Statistics Quiz: Check Your Basics
Quick, free statistics basics quiz. Instant results and study tips.
Editorial: Review CompletedUpdated Aug 24, 2025
This applied statistics quiz helps you check core ideas like mean and median, variability, probability, correlation, regression, and hypothesis tests. Answer 15 quick questions, see what to review, and get instant results. Need more practice? Try the statistics quiz with answers, the standard deviation quiz, or a biostatistics practice test.
Study Outcomes
- Analyze descriptive statistical measures to summarize data sets.
- Apply probability concepts to evaluate real-world scenarios.
- Interpret outcomes of hypothesis tests to determine statistical significance.
- Evaluate regression and correlation results to draw evidence-based conclusions.
Intro To Applied Statistics Additional Reading
Here are some top-notch resources to supercharge your understanding of applied statistics:
- This open textbook offers a comprehensive guide to fundamental statistical concepts and techniques, complete with demonstrations using the free statistical software R Commander. It's tailored for students with a background in high school mathematics.
- This course provides practical statistical and data analysis skills for high-throughput biological data, focusing on single-cell sequencing. It covers exploratory data analysis, linear modeling, and more, assuming some familiarity with genomics and R programming.
- JMP offers a treasure trove of resources, including one-page guides, case studies, lab activities, and webinars, all designed to enhance your grasp of introductory statistics concepts and their applications.
- This book emphasizes the practical application of statistics in environmental and agricultural sciences, using simple, non-mathematical language to present statistical techniques, making it accessible to readers with a basic understanding of algebra.
- This resource offers recommended readings and textbooks for biologists seeking to apply statistical methods using R, covering topics from ecological models to statistical learning.