# Probability and Statistics in Experimental Physics

• Byron P. Roe
Textbook

1. Front Matter
Pages i-x
2. Byron P. Roe
Pages 1-4
3. Byron P. Roe
Pages 5-13
4. Byron P. Roe
Pages 14-26
5. Byron P. Roe
Pages 27-32
6. Byron P. Roe
Pages 33-41
7. Byron P. Roe
Pages 42-53
8. Byron P. Roe
Pages 54-61
9. Byron P. Roe
Pages 62-74
10. Byron P. Roe
Pages 75-89
11. Byron P. Roe
Pages 90-101
12. Byron P. Roe
Pages 102-117
13. Byron P. Roe
Pages 118-134
14. Byron P. Roe
Pages 135-160
15. Byron P. Roe
Pages 161-172
16. Byron P. Roe
Pages 173-179
17. Byron P. Roe
Pages 180-188
18. Byron P. Roe
Pages 189-200
19. Back Matter
Pages 201-208

### Introduction

This book is meant to be a practical introduction into the use of probability and statistics in experimental physics for advanced undergraduate students and for graduate students. I have attempted to write a short book. It is not intended as a comprehensive text in probability and statistics. I have tried to emphasize areas I have found to be useful when doing experimental physics. Except for the first two chapters the emphasis is on applications and understanding. I have omitted proofs of formal theorems in the interests of brevity unless I felt the proof added to one's intuition in understanding and applying the theorem. Since, however, this is a field in which there are often a number of misunderstandings, it is necessary to state some things with reasonable precision. I have tried to do this when necessary. I assume the student is familiar with partial derivatives and with ele­ mentary matrix manipulation. A computer is a needed tool for probability and statistics in experimental physics. We will introduce its use in this subject in some of the homework problems. One may interact with a computer in a batch mode or an inter­ active mode. In a batch mode, one submits FORTRAN or other language programs, the computer processes them, and returns the end results. In the interactive mode, one gives the computer an instruction, the computer processes it, indicates what it has done, and waits for the next instruction.

### Keywords

Monte Carlo method Parameter experiment experimental physics normal distribution statistics

#### Authors and affiliations

• Byron P. Roe
• 1
1. 1.Randall Laboratory of PhysicsAnn ArborUSA

### Bibliographic information

• DOI https://doi.org/10.1007/978-1-4757-2186-7
• Copyright Information Springer-Verlag New York 1992
• Publisher Name Springer, New York, NY
• eBook Packages
• Print ISBN 978-1-4757-2188-1
• Online ISBN 978-1-4757-2186-7
• Buy this book on publisher's site