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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
An Introduction to Statistical Methods presents the mathematics of probability theory (including numerous probability distributions) and the foundations of statistical inference (via hypothesis testing). Numerous examples and figures illustrate the various concepts while hundreds of exercises compliment the text by reinforcing (and extending) the ideas. Full-page summaries of each distribution are included at the end of the section. Tables for the normal distribution, t-distribution, and chi-square distribution are included as an appendix. Solutions to every problem in the text are included in the back of the text making this text ideal for those who would like to learn the material by themselves. No prior knowledge of probability is required, though a course in multivariate calculus is needed as multiple integrals are used.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
An Introduction to Statistical Methods presents the mathematics of probability theory (including numerous probability distributions) and the foundations of statistical inference (via hypothesis testing). Numerous examples and figures illustrate the various concepts while hundreds of exercises compliment the text by reinforcing (and extending) the ideas. Full-page summaries of each distribution are included at the end of the section. Tables for the normal distribution, t-distribution, and chi-square distribution are included as an appendix. Solutions to every problem in the text are included in the back of the text making this text ideal for those who would like to learn the material by themselves. No prior knowledge of probability is required, though a course in multivariate calculus is needed as multiple integrals are used.