Biostatistics
eBook - PDF

Biostatistics

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

Biostatistics

About this book

The book 'Biostatistics' consists of ten chapters explaining statistical tools used in analyzing biological, biomedical and biochemical experimental data. Statistical tools, techniques and methods are explained with many real life problems and special care is taken to explain mathematical formulae and calculations keeping in view that the readers are non-mathematical students who are not having much mathematical background. The book mainly concentrates on (1) Collection, classification and tabulation of data, (2) Presentation of Data (both diagrammatic and graphical repreentation) (3) Analysis and (4) Inference (both estimation of parameters and testing of hypotheses). Most popularly used DMR test, by any biological students is also discussed along with its applications. At the end of each chapter, self assessment questions are given. This book can also be used by civil, mechanical, electrical and computer engineers in analyzing their experimental data and to take statistically valid decisions.

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Yes, you can access Biostatistics by Sarma, K L A P in PDF and/or ePUB format, as well as other popular books in Medicine & Veterinary Medicine. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Daya Publishing House
Year
2021
eBook ISBN
9789351301295
Topic
Medicine
Subtopic
Veterinary Medicine

Table of contents

  1. 1. Introduction to Biostatistics
  2. 1.1. Need for decision making (DM)
  3. 1.2. Basic concepts
  4. 1.3. Sampling techniques
  5. 1.4. Simple random sampling (SRS)
  6. 1.5. Stratified random sampling (StRS)
  7. 1.6. Systematic sampling (SyS)
  8. Review questions and problems
  9. References
  10. 2. Collection, classification and tabulation of data
  11. 2.1. Introduction to collection of data
  12. 2.2. Editing of data
  13. 2.3. Classification of data
  14. 2.4. Tabulation
  15. 2.5. Frequency tables
  16. Review questions and problems
  17. References
  18. 3. Presentation of data
  19. 3.1. Introduction
  20. 3.2. Diagrammatic representation of data
  21. 3.3. Graphical representation of data
  22. 3.4. Graphs for frequency distributions
  23. 3.5. Graphs for time series
  24. 3.6. Range graphs
  25. Review questions and problems
  26. References
  27. 4. Different statistical measures
  28. 4.1. Introduction
  29. 4.2. Measures of central tendencies
  30. 4.3. Measures of variation or dispersion
  31. 4.4. Coefficient of Variation
  32. 4.5. Skewness
  33. 4.6. Kurtosis
  34. Review questions and problems
  35. References
  36. 5. Probability
  37. 5.1. Introduction
  38. 5.2. Basic concepts and notations
  39. 5.3. Definitions of probability
  40. 5.4. Theorems on probability
  41. 5.5. Conditional probability and multiplication theorem
  42. 5.6. Properties and Utilities of Probability
  43. Review questions and problems
  44. References
  45. 6. Probability distributions
  46. 6.1. Introduction
  47. 6.2. Random variable
  48. 6.3. Binomial distribution
  49. 6.4. Poisson distribution
  50. 6.5. Normal distribution
  51. 6.6. Exponential distribution
  52. Review questions and problems
  53. References
  54. 7. Correlation and regression analysis
  55. 7.1. Introduction to correlation and regression analysis
  56. 7.2. Scatter diagram method
  57. 7.3. Karl Pearson’s method
  58. 7.4. Spearman’s method
  59. 7.5. Regression lines and regression coefficients
  60. 7.6. Fitting of regression lines
  61. Review questions and problems
  62. References
  63. 8. Testing of Hypothesis-Large Sample Tests
  64. 8.1. Introduction to testing of hypotheses
  65. 8.2. Some fundamental definitions and concepts used in testing of hypothesis
  66. 8.3. Large sample test procedure
  67. 8.4. Tests for Proportions
  68. 8.5. Tests for means
  69. 8.6. Test the significant difference between two sample standard deviations (S.D.’s)
  70. Review questions and problems
  71. References
  72. 9. Testing of Hypotheses-Small Sample Tests
  73. 9.1. Introduction
  74. 9.2. Chi-Square test or c2 – test
  75. 9.3. Student’s t-test
  76. 9.4. Paired t-test
  77. 9.5. Tests of sample correlation coefficients
  78. 9.6. Tests for sample variances
  79. Review questions and problems
  80. References
  81. 10. Analysis of variance or ANOVA
  82. 10.1. Introduction to analysis of variance (ANOVA)
  83. 10.2. Objectives and assumptions of ANOVA
  84. 10.3. ANOVA table and classification of ANOVA
  85. 10.4. ANOVA – one way classification
  86. 10.5. ANOVA – Two way classification
  87. 10.6. Further statistical analysis – DMR-test
  88. Review questions and problems
  89. References
  90. Appendix
  91. Table – A–1: Cumulative standard normal distribution
  92. Table A–2 : Chi-square Right Hand Tail Area
  93. Table A–3: Values of T for a Specified Right Tail Area
  94. Table A–4 Table values of F-Test at 5% l.o.s.
  95. Table A–5: Table values of F-Test at 1% l.o.s.
  96. Table A–6. Duncan’s Multiple Range Tables
  97. Index