A First Course in Probability Models and Statistical Inference

1. Front Matter

   Pages i-xxxi

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2. Introduction to Probability Models of the Real World

   • J. H. C. Creighton

   Pages 2-37

3. Understanding Observed Data

   • J. H. C. Creighton

   Pages 38-79

4. Discrete Probability Models

   • J. H. C. Creighton

   Pages 80-127

5. Continuous Probability Models

   • J. H. C. Creighton

   Pages 128-167

6. Estimation of Parameters

   • J. H. C. Creighton

   Pages 168-223

7. Introduction to Tests of Statistical Hypotheses

   • J. H. C. Creighton

   Pages 224-287

8. Introduction to Simple Linear Regression

   • J. H. C. Creighton

   Pages 288-325

9. Back Matter

   Pages 326-719

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Welcome to new territory: A course in probability models and statistical inference. The concept of probability is not new to you of course. You've encountered it since childhood in games of chance-card games, for example, or games with dice or coins. And you know about the "90% chance of rain" from weather reports. But once you get beyond simple expressions of probability into more subtle analysis, it's new territory. And very foreign territory it is. You must have encountered reports of statistical results in voter sur­ veys, opinion polls, and other such studies, but how are conclusions from those studies obtained? How can you interview just a few voters the day before an election and still determine fairly closely how HUN­ DREDS of THOUSANDS of voters will vote? That's statistics. You'll find it very interesting during this first course to see how a properly designed statistical study can achieve so much knowledge from such drastically incomplete information. It really is possible-statistics works! But HOW does it work? By the end of this course you'll have understood that and much more. Welcome to the enchanted forest.

• Excel
• Probability Models
• probability
• probability distribution
• statistical inference
• statistics

• San Francisco State University, San Francisco, USA

  J. H. C. Creighton