Statistics for Public Health (HLTH 10)

by Silvie Grote

Read here Read at LibreTextsPDF
Publisher
Irvine Valley College
Subjects
Medicine
Licence
CC BY-NC 4.0, as LibreTexts states it. Non-commercial use only.
Who can read
Teens profiles and older, judged from its title and subjects

Contents

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  1. Front Matter
  2. TitlePage
  3. InfoPage
  4. Table of Contents
  5. Licensing
  6. New Page
  7. 1: Introduction to Statistics for Kinesiology and Public Health
  8. 1.1: Introduction
  9. 1.2: Chapter 1 Introduction
  10. 1.3: Definitions of Statistics, Probability, and Key Terms
  11. 1.4: Data, Sampling, and Variation in Data and Sampling
  12. 1.5: Levels of Measurement
  13. 1.6: Experimental Design and Ethics
  14. 1.7: Key Terms
  15. 1.8: Chapter Review
  16. 1.9: References
  17. 2: Descriptive vs Inferential Statistics
  18. 2.1: Introduction
  19. 2.2: Display Data
  20. 2.3: Measures of the Location of the Data
  21. 2.4: Key Terms
  22. 2.5: Chapter Review
  23. 2.6: Formula Review
  24. 2.7: References
  25. 3: Summarizing Data Graphically and Numerically
  26. 3.1: Measures of the Center of the Data
  27. 3.2: Sigma Notation and Calculating the Arithmetic Mean
  28. 3.3: Geometric Mean
  29. 3.4: Skewness and the Mean, Median, and Mode
  30. 3.5: Measures of the Spread of the Data
  31. 3.6: Key Terms
  32. 3.7: Chapter Review
  33. 3.8: Formula Review
  34. 3.9: References
  35. 4: Sample Spaces and Probability
  36. 4.1: Introduction
  37. 4.2: Terminology
  38. 4.3: Independent and Mutually Exclusive Events
  39. 4.4: Two Basic Rules of Probability
  40. 4.5: Contingency Tables and Probability Trees
  41. 4.6: Venn Diagrams
  42. 4.7: Key Terms
  43. 4.8: Chapter Review
  44. 4.9: Formula Review
  45. 4.10: References
  46. 5: Random Variables and Expected Values
  47. 5.1: Introduction
  48. 5.2: Properties of Continuous Probability Functions
  49. 5.3: The Uniform Distribution
  50. 5.4: The Exponential Distribution
  51. 5.5: Key Terms
  52. 5.6: Chapter Review
  53. 5.7: Formula Review
  54. 5.8: References
  55. 6: Types of Studies
  56. 6.1: Research Methods for Kinesiology and Public Health
  57. 7: Sampling Methods and Sampling Distribution
  58. 8: Discrete/Binomial Distributions
  59. 8.1: Binomial Distribution
  60. 8.2: Geometric Distribution
  61. 8.3: Poisson Distribution
  62. 8.4: Key Terms
  63. 8.5: Chapter Review
  64. 8.6: Formula Review
  65. 8.7: References
  66. 9: Continuous/Normal Distributions
  67. 9.1: Introduction
  68. 9.2: The Standard Normal Distribution
  69. 9.3: Using the Normal Distribution
  70. 9.4: Key Terms
  71. 9.6: References
  72. 10: The Central Limit Theorem
  73. 10.1: Introduction
  74. 10.2: The Central Limit Theorem for Sample Means (Averages)
  75. 10.3: Using the Central Limit Theorem
  76. 10.4: Key Terms
  77. 10.5: Chapter Review
  78. 10.6: Formula Review
  79. 11: Estimation and Confidence Intervals
  80. 11.1: Introduction
  81. 11.2: A Confidence Interval When the Population Standard Deviation Is Known or Large Sample Size
  82. 11.3: A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case
  83. 11.4: A Confidence Interval for A Population Proportion
  84. 11.5: Calculating the Sample Size n- Continuous and Binary Random Variables
  85. 11.6: Key Terms
  86. 11.7: Chapter Review
  87. 11.8: Formula Review
  88. 11.9: References
  89. 12: Hypothesis Testing and Inference - Part 1
  90. 12.1: Introduction
  91. 12.2: Null and Alternative Hypotheses
  92. 12.3: Outcomes and the Type I and Type II Errors
  93. 12.4: Probability Distribution Needed for Hypothesis Testing
  94. 12.5: Full Hypothesis Test Examples
  95. 12.6: Introduction to Comparing Population Means
  96. 12.7: Comparing Two Independent Population Means
  97. 12.8: Cohen's Standards for Small, Medium, and Large Effect Sizes
  98. 12.9: Test for Differences in Means- Assuming Equal Population Variances
  99. 12.10: Comparing Two Independent Population Proportions
  100. 12.11: Two Population Means with Known Standard Deviations
  101. 12.12: Matched or Paired Samples
  102. 12.13: Key Terms
  103. 12.14: Chapter Review
  104. 12.15: Formula Review
  105. 12.16: References
  106. 13: Hypothesis Testing and Inference - Part 2
  107. 13.1: Introduction
  108. 13.2: Facts About the Chi-Square Distribution
  109. 13.3: Test of a Single Variance
  110. 13.4: Goodness-of-Fit Test
  111. 13.5: Test of Independence
  112. 13.6: Comparison of the Chi-Square Tests
  113. 13.7: Key Terms
  114. 13.8: Chapter Review
  115. 13.9: Formula Review
  116. 14: F Distribution and One-Way ANOVA
  117. 14.1: Introduction
  118. 14.2: Test of Two Variances
  119. 14.3: One-Way ANOVA
  120. 14.4: The F Distribution and the F-Ratio
  121. 14.5: Facts About the F Distribution
  122. 14.6: Key Terms
  123. 14.7: Chapter Review
  124. 14.8: Formula Review
  125. 14.9: References
  126. 15: Linear Regression and Correlation
  127. 15.1: Introduction
  128. 15.2: The Correlation Coefficient r
  129. 15.3: Testing the Significance of the Correlation Coefficient
  130. 15.4: Linear Equations
  131. 15.5: The Regression Equation
  132. 15.6: Interpretation of Regression Coefficients- Elasticity and Logarithmic Transformation
  133. 15.7: Predicting with a Regression Equation
  134. 15.8: Key Terms
  135. 15.9: Chapter Review
  136. 16: The Use of Technology for Statistics
  137. 16.1: General purpose software
  138. 16.2: Statistical software
  139. 16.3: The very short history of the S and R
  140. 16.4: Use, advantages and disadvantages of the R
  141. 16.5: How to download and install R
  142. 16.6: How to start with R
  143. 16.7: R and Data
  144. 16.8: R graphics
  145. Back Matter
  146. Index
  147. Glossary
  148. Detailed Licensing
  149. Detailed Licensing