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Explanation of the basic concepts and methods of statistics requires a reasonably good mathematical background, at least at a first-year-level knowledge of calculus. Most of the statistical software explain how to conduct data analysis, but do not explain when to apply and when not to apply it. Keeping this in view, we try to explain the basic concepts of probability and statistics for students with an understanding of a first course in calculus at the undergraduate level.
Designed as a textbook for undergraduate and first-year graduate students in statistics, bio-statistics, social sciences and business administration programs as well as undergraduates in engineering sciences and computer science programs, it provides a clear exposition of the theory of probability along with applications in statistics. The book contains a large number of solved examples and chapter-end exercises designed to reinforce the probability theory and emphasize statistical applications.
Sample Chapter(s)
Chapter 1: Why Statistics? (94 KB)
Contents:
- Why Statistics?
- Probability on Discrete Sample Spaces
- Discrete Probability Distributions
- Continuous Probability Distributions
- Multivariate Probability Distributions
- Functions of Random Vectors
- Approximations to Some Probability Distributions
- Estimation
- Interval Estimation and Testing of Hypotheses
- Linear Regression and Correlation
Readership: Advanced undergraduate and first-year graduate students in mathematics, statistics, bio-statistics, social sciences and business administration programs as well as undergraduates in engineering and computer science programs.
