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Statistics for Public Health (HLTH 10)

External

Statistics for Public Health (HLTH 10)

Medicine
Author
Silvie Grote
Publisher
Irvine Valley College
Source
LibreTexts
License
CC BY-NC
Language
EN
Category
Basic Sciences
Read online Download PDF (open licence)
Contents· 138 sections
  1. 01: Introduction to Statistics for Kinesiology and Public Health
  2. 1.01: Introduction
  3. 1.02: Chapter 1 Introduction
  4. 1.03: Definitions of Statistics Probability and Key Terms
  5. 1.04: Data Sampling and Variation in Data and Sampling
  6. 1.05: Levels of Measurement
  7. 1.06: Experimental Design and Ethics
  8. 1.07: Key Terms
  9. 1.08: Chapter Review
  10. 1.09: References
  11. 02: Descriptive vs Inferential Statistics
  12. 2.01: Introduction
  13. 2.02: Display Data
  14. 2.03: Measures of the Location of the Data
  15. 2.04: Key Terms
  16. 2.05: Chapter Review
  17. 2.06: Formula Review
  18. 2.07: References
  19. 03: Summarizing Data Graphically and Numerically
  20. 3.01: Measures of the Center of the Data
  21. 3.02: Sigma Notation and Calculating the Arithmetic Mean
  22. 3.03: Geometric Mean
  23. 3.04: Skewness and the Mean Median and Mode
  24. 3.05: Measures of the Spread of the Data
  25. 3.06: Key Terms
  26. 3.07: Chapter Review
  27. 3.08: Formula Review
  28. 3.09: References
  29. 04: Sample Sapces and Probability
  30. 4.01: Introduction
  31. 4.02: Terminology
  32. 4.03: Independent and Mutually Exclusive Events
  33. 4.04: Two Basic Rules of Probability
  34. 4.05: Contingency Tables and Probability Trees
  35. 4.06: Venn Diagrams
  36. 4.07: Key Terms
  37. 4.08: Chapter Review
  38. 4.09: Formula Review
  39. 4.10: References
  40. 05: Random Variables and Expected Values
  41. 5.01: Introduction
  42. 5.02: Properties of Continuous Probability Functions
  43. 5.03: The Uniform Distribution
  44. 5.04: The Exponential Distribution
  45. 5.05: Key Terms
  46. 5.06: Chapter Review
  47. 5.07: Formula Review
  48. 5.08: References
  49. 06: Types of Studies
  50. 6.01: Research Methods for Kinesiology and Public Health
  51. 07: Sampling Methods and Sampling Distribution
  52. 08: Discrete Binomial Distributions
  53. 8.01: Binomial Distribution
  54. 8.02: Geometric Distribution
  55. 8.03: Poisson Distribution
  56. 8.04: Key Terms
  57. 8.05: Chapter Review
  58. 8.06: Formula Review
  59. 8.07: References
  60. 09: Continuous Normal Distributions
  61. 9.01: Introduction
  62. 9.02: The Standard Normal Distribution
  63. 9.03: Using the Normal Distribution
  64. 9.04: Key Terms
  65. 9.06: References
  66. 10: The Central Limit Theorem
  67. 10.01: Introduction
  68. 10.02: The Central Limit Theorem for Sample Means (Averages)
  69. 10.03: Using the Central Limit Theorem
  70. 10.04: Key Terms
  71. 10.05: Chapter Review
  72. 10.06: Formula Review
  73. 11: Estimation and Confidence Intervals
  74. 11.01: Introduction
  75. 11.02: A Confidence Interval When the Population Standard Deviation Is Known or Large Sample Size
  76. 11.03: A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case
  77. 11.04: A Confidence Interval for A Population Proportion
  78. 11.05: Calculating the Sample Size n- Continuous and Binary Random Variables
  79. 11.06: Key Terms
  80. 11.07: Chapter Review
  81. 11.08: Formula Review
  82. 11.09: References
  83. 12: Hypothesis Testing and Inference - Part 1
  84. 12.01: Introduction
  85. 12.02: Null and Alternative Hypotheses
  86. 12.03: Outcomes and the Type I and Type II Errors
  87. 12.04: Probability Distribution Needed for Hypothesis Testing
  88. 12.05: Full Hypothesis Test Examples
  89. 12.06: Introduction to Comparing Population Means
  90. 12.07: Comparing Two Independent Population Means
  91. 12.08: Cohen's Standards for Small Medium and Large Effect Sizes
  92. 12.09: Test for Differences in Means- Assuming Equal Population Variances
  93. 12.10: Comparing Two Independent Population Proportions
  94. 12.11: Two Population Means with Known Standard Deviations
  95. 12.12: Matched or Paired Samples
  96. 12.13: Key Terms
  97. 12.14: Chapter Review
  98. 12.15: Formula Review
  99. 12.16: References
  100. 13: Hypothesis Testing and Inference - Part 2
  101. 13.01: Introduction
  102. 13.02: Facts About the Chi-Square Distribution
  103. 13.03: Test of a Single Variance
  104. 13.04: Goodness-of-Fit Test
  105. 13.05: Test of Independence
  106. 13.06: Comparison of the Chi-Square Tests
  107. 13.07: Key Terms
  108. 13.08: Chapter Review
  109. 13.09: Formula Review
  110. 14: F Distribution and One-Way ANOVA
  111. 14.01: Introduction
  112. 14.02: Test of Two Variances
  113. 14.03: One-Way ANOVA
  114. 14.04: The F Distribution and the F-Ratio
  115. 14.05: Facts About the F Distribution
  116. 14.06: Key Terms
  117. 14.07: Chapter Review
  118. 14.08: Formula Review
  119. 14.09: References
  120. 15: Linear Regression and Correlation
  121. 15.01: Introduction
  122. 15.02: The Correlation Coefficient r
  123. 15.03: Testing the Significance of the Correlation Coefficient
  124. 15.04: Linear Equations
  125. 15.05: The Regression Equation
  126. 15.06: Interpretation of Regression Coefficients- Elasticity and Logarithmic Transformation
  127. 15.07: Predicting with a Regression Equation
  128. 15.08: Key Terms
  129. 15.09: Chapter Review
  130. 16: The Use of Technology for Statistics
  131. 16.01: General purpose software
  132. 16.02: Statistical software
  133. 16.03: The very short history of the S and R
  134. 16.04: Use advantages and disadvantages of the R
  135. 16.05: How to download and install R
  136. 16.06: How to start with R
  137. 16.07: R and Data
  138. 16.08: R graphics