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Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distributionindependent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then system atically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. Th e ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea / Pragmatic Considerations when Using Resampling / Terminology / The Essential Stats / Case Study: New Mexicos 2004 Presidential Ballots / References / Bias Corrected Confidence Intervals / Appendix B
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
While the information is great, I received my copy with some pages wrinkled. It’s hard to focus when the print quality is off. Just a minor irritation, but still not ideal.
T
Tomás Rivera
Disappointed with the Print Quality
While the information is great, I received my copy with some pages wrinkled. It’s hard to focus when the print quality is off. Just a minor irritation, but still not ideal.
T
Tomás Rivera
Disappointed with the Print Quality
While the information is great, I received my copy with some pages wrinkled. It’s hard to focus when the print quality is off. Just a minor irritation, but still not ideal.
M
Maya Patel
Great Resource for Stat Students
I picked up the second edition of this book and it’s been a lifesaver. The explanations are clear and the examples really help to cement the concepts. Perfect for my statistics course!
M
Maya Patel
Great Resource for Stat Students
I picked up the second edition of this book and it’s been a lifesaver. The explanations are clear and the examples really help to cement the concepts. Perfect for my statistics course!
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