Book contents
- Frontmatter
- Contents
- List of abbreviations and acronyms
- Preface
- Acknowledgments
- 1 Introduction
- Part I Probability, random variables, and statistics
- 2 Probability
- 3 Discrete random variables
- 4 Continuous random variables
- 5 Functions of random variables and their distributions
- 6 Fundamentals of statistical data analysis
- 7 Distributions derived from the normal distribution
- Part II Transform methods, bounds, and limits
- Part III Random processes
- Part IV Statistical inference
- Part V Applications and advanced topics
- References
- Index
2 - Probability
from Part I - Probability, random variables, and statistics
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- List of abbreviations and acronyms
- Preface
- Acknowledgments
- 1 Introduction
- Part I Probability, random variables, and statistics
- 2 Probability
- 3 Discrete random variables
- 4 Continuous random variables
- 5 Functions of random variables and their distributions
- 6 Fundamentals of statistical data analysis
- 7 Distributions derived from the normal distribution
- Part II Transform methods, bounds, and limits
- Part III Random processes
- Part IV Statistical inference
- Part V Applications and advanced topics
- References
- Index
Summary
Randomness in the real world
Repeated experiments and statistical regularity
One way to approach the notion of probability is through the phenomenon of statistical regularity. There are many repeating situations in nature for which we can predict in advance, from previous experiences, roughly what will happen, but not exactly what will happen. We say in such cases that the occurrences are random. The reason that we cannot predict future events exactly may be that (i) we do not have enough data about the condition of the given problem, (ii) the laws governing a progression of events may be so complicated that we cannot undertake a detailed analysis, or possibly (iii) there is some basic indeterminacy in the physical world. Whatever the reason for the randomness, a definite average pattern of results may be observed in many situations leading to random occurrences when the situation is recreated a great number of times. For example, if a fair coin is flipped many times, it will turn up heads on about half of the flips.
Another example of randomness is the response time of a web (i.e.,WorldWideWeb or WWW) access request you may send over the Internet in order to retrieve some information from a certain website. The amount of time you have to wait until you receive a response will not be precisely predictable, because the total round trip time depends on a number of factors.
- Type
- Chapter
- Information
- Probability, Random Processes, and Statistical AnalysisApplications to Communications, Signal Processing, Queueing Theory and Mathematical Finance, pp. 17 - 41Publisher: Cambridge University PressPrint publication year: 2011
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