Statistics
eBook - PDF

Statistics

  1. 256 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

Statistics covers the basic principles of Statistics. The book starts by tackling the importance and the two kinds of statistics; the presentation of sample data; the definition, illustration and explanation of several measures of location; and the measures of variation. The text then discusses elementary probability, the normal distribution and the normal approximation to the binomial. Testing of statistical hypotheses and tests of hypotheses about the theoretical proportion of successes in a binomial population and about the theoretical mean of a normal population are explained. The text then considers testing of hypotheses about the mean of a normal population when the population variance is not known and testing the hypotheses about the mean of populations that are not normal. The book also describes correlation and regression, confidence limits, non-parametric statistics, and the analysis of variance. The text concludes by giving more complex problems and step-by-step directions for the various statistical tests. Statisticians and students taking Statistics courses will find the book invaluable.

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Yes, you can access Statistics by H. T. Hayslett, Patrick Murphy in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Statistics
  3. Copyright Page
  4. Table of Contents
  5. Foreword
  6. CHAPTER I. WHAT IS STATISTICS
  7. CHAPTER II. PICTORIAL DESCRIPTION OF DATA
  8. CHAPTER III. MEASURES OF LOCATION
  9. CHAPTER IV. MEASURES OF VARIATION
  10. CHAPTER V. ELEMENTARY PROBABILITY AND THE BINOMIAL DISTRIBUTION
  11. CHAPTER VI. THE NORMAL DISTRIBUTION
  12. CHAPTER VII. SOME TESTS OF STATISTICAL HYPOTHESES
  13. CHAPTER VIII. MORE TESTS OF HYPOTHESES
  14. CHAPTER IX. CORRELATION AND REGRESSION
  15. CHAPTER X. CONFIDENCE LIMITS
  16. CHAPTER XI. NON-PARAMETRIC STATISTICS
  17. CHAPTER XII. THE ANALYSIS OF VARIANCE
  18. APPENDIX:
  19. ANSWERS TO EXERCISES
  20. INDEX