Title
Statistics At The Bench: A Stepbystep Handbook For Biologists
Delivery time: 8-12 business days (International)
Statistics At The Bench Is A Convenient Benchside Companion For Biologists, Designed As A Handy Reference Guide For Elementary And Intermediate Statistical Analyses. The Expectations For Biologists To Have A More Complete Understanding Of Statistics Are Growing Rapidly. New Technologies And New Areas Of Science, Such As Microarrays, Nextgeneration Sequencing, And Proteomics, Have Dramatically Increased The Need For Quantitative Reasoning Among Biologists When Designing Experiments And Interpreting Results. Even The Most Routine Informatics Tools Rely On Statistical Assumptions And Methods That Need To Be Appreciated If The Scientific Results Are To Be Correct, Understood, And Exploited Fully. This Book Is Not A Textbook. It Is An Essential Handbook For Working Scientists. Statistics At The Bench Provides A Simple Refresher For Those Who Have Forgotten What They Once Knew, And An Overview For Those Wishing To Use More Quantitative Reasoning In Their Research. Statistical Methods, As Well As Guidelines For The Interpretation Of Results, Are Explained Using Simple Examples. Throughout The Book, Examples Are Accompanied By Detailed Excel Commands For Easy Reference.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main purpose of 'Statistics at the Bench'? A: The main purpose of 'Statistics at the Bench' is to serve as a practical reference guide for biologists, helping them understand and apply elementary and intermediate statistical analyses in their research.
- Q: Who is the author of 'Statistics at the Bench'? A: The author of 'Statistics at the Bench' is Rebecca W. Doerge.
- Q: What kind of statistical methods does this book cover? A: The book covers a range of statistical methods suitable for biologists, including guidelines for interpreting results with simple examples and detailed Excel commands.
- Q: Is 'Statistics at the Bench' suitable for beginners? A: Yes, 'Statistics at the Bench' is designed for both beginners and those with some experience in statistics, providing a refresher and an accessible overview of statistical reasoning.
- Q: What is the format of 'Statistics at the Bench'? A: The book is available in a hardcover spiral format, which makes it convenient to use as a bench-side companion.
- Q: How many pages is 'Statistics at the Bench'? A: 'Statistics at the Bench' consists of 167 pages.
- Q: When was 'Statistics at the Bench' published? A: 'Statistics at the Bench' was published on December 10, 2009.
- Q: What condition is the book in? A: 'Statistics at the Bench' is listed as a new book in good condition.
- Q: Does the book include practical examples? A: Yes, the book includes practical examples throughout, along with detailed Excel commands for easy reference.
- Q: Can I use this book for advanced statistical analyses? A: 'Statistics at the Bench' primarily focuses on elementary and intermediate statistical analyses, making it less suitable for advanced statistical topics.