BASIC Microcomputing and Biostatistics

1. Front Matter

   Pages i-xi

   PDF

2. Introduction to the Computer

   • Donald W. Rogers

   Pages 1-18

3. Understanding Experimental Error and Averages

   • Donald W. Rogers

   Pages 19-46

4. Understanding Experimental Data Dispersion

   • Donald W. Rogers

   Pages 47-69

5. Understanding Probability

   • Donald W. Rogers

   Pages 71-90

6. Determining Probability Distributions

   • Donald W. Rogers

   Pages 91-116

7. Using the Poisson Distribution

   • Donald W. Rogers

   Pages 117-130

8. Using the Normal Distribution

   • Donald W. Rogers

   Pages 131-153

9. Determining Probabilities

   • Donald W. Rogers

   Pages 155-174

10. Finding Linear Functions

    • Donald W. Rogers

    Pages 175-204

11. Fitting Nonlinear Curves

    • Donald W. Rogers

    Pages 205-237

12. Solving Simultaneous Equations

    • Donald W. Rogers

    Pages 239-263

13. Back Matter

    Pages 265-274

    PDF

BASIC Microcomputing and Biostatistics is designed as the first practical "how to" guide to both computer programming in BASIC and the statis­ tical data processing techniques needed to analyze experimental, clinical, and other numerical data. It provides a small vocabulary of essential com­ puter statements and shows how they are used to solve problems in the bio­ logical, physical, and medical sciences. No mathematical background be­ yond algebra and an inkling of the principles of calculus is assumed. All more advanced mathematical techniques are developed from "scratch" before they are used. The computing language is BASIC, a high-level lan­ guage that is easy to learn and widely available using time-sharing com­ puter systems and personal microcomputers. The strategy of the book is to present computer programming at the outset and to use it throughout. BASIC is developed in a way reminiscent of graded readers used in human languages; the first programs are so sim­ ple that they can be read almost without an introduction to the language. Each program thereafter contains new vocabulary and one or more con­ cepts, explained in the text, not used in the previous ones. By gradual stages, the reader can progress from programs that do nothing more than count from one to ten to sophisticated programs for nonlinear curve fitting, matrix algebra, and multiple regression. There are 33 working programs and, except for the introductory ones, each performs a useful function in everyday data processing problems encountered by the experimentalist in many diverse fields.

• Permutation
• calculus
• computer
• life sciences
• statistics

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