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Psyc 350: Behavioral Statistics

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Psyc 350: Behavioral Statistics

A first course in statistics which introduces descriptive and inferential statistical tools as they apply to organization and analysis of data in the behavioral sciences.

Statistics
Author
Loren Toussaint
Publisher
Luther College
Source
LibreTexts
Language
EN
Category
Basic Sciences
Read online Download PDF (open licence)
Contents· 201 sections
  1. 01: Introduction to Statistics
  2. 1.01: What are Statistics
  3. 1.02: Importance of Statistics
  4. 1.03: Descriptive Statistics
  5. 1.04: Inferential Statistics
  6. 1.05: Sampling Demonstration
  7. 1.06: Variables
  8. 1.07: Percentiles
  9. 1.08: Levels of Measurement
  10. 1.09: Measurements
  11. 1.10: Distributions
  12. 1.11: Summation Notation
  13. 1.12: Linear Transformations
  14. 1.13: Logarithms
  15. 1.14: Statistical Literacy
  16. 1.E: Introduction to Statistics (Exercises)
  17. 02: Graphing Distributions
  18. 2.01: Graphing Qualitative Variables
  19. 2.02: Quantitative Variables
  20. 2.03: Stem and Leaf Displays
  21. 2.04: Histograms
  22. 2.05: Frequency Polygons
  23. 2.06: Box Plots
  24. 2.07: Box Plot Demo
  25. 2.08: Bar Charts
  26. 2.09: Line Graphs
  27. 2.10: Dot Plots
  28. 2.11: Statistical Literacy
  29. 2.E: Graphing Distributions (Exercises)
  30. 03: Summarizing Distributions
  31. 3.01: Central Tendency
  32. 3.02: What is Central Tendency
  33. 3.03: Measures of Central Tendency
  34. 3.04: Balance Scale Simulation
  35. 3.05: Absolute Differences Simulation
  36. 3.06: Squared Differences Simulation
  37. 3.07: Median and Mean
  38. 3.08: Mean and Median Demo
  39. 3.09: Additional Measures
  40. 3.10: Comparing Measures
  41. 3.11: Variability
  42. 3.12: Measures of Variability
  43. 3.13: Variability Demo
  44. 3.14: Estimating Variance Simulation
  45. 3.15: Shapes of Distributions
  46. 3.16: Comparing Distributions Demo
  47. 3.17: Effects of Linear Transformations
  48. 3.18: Statistical Literacy
  49. 3.E: Summarizing Distributions (Exercises)
  50. 04: Normal Distribution
  51. 4.01: Introduction to Normal Distributions
  52. 4.02: Areas Under Normal Distributions
  53. 4.03: Varieties Demonstration
  54. 4.04: Standard Normal Distribution
  55. 4.05: Normal Approximation Demonstration
  56. 4.06: Statistical Literacy
  57. 4.E: Normal Distribution (Exercises)
  58. 05: Sampling Distributions
  59. 5.01: Introduction to Sampling Distributions
  60. 5.02: Basic Demo
  61. 5.03: Sample Size Demo
  62. 5.04: Central Limit Theorem Demonstration
  63. 5.05: Sampling Distribution of the Mean
  64. 5.06: Difference Between Means
  65. 5.07: Sampling Distribution of Pearson's r
  66. 5.08: Sampling Distribution of p
  67. 5.09: Statistical Literacy
  68. 5.E: Sampling Distributions (Exercises)
  69. 06: Logic of Hypothesis Testing
  70. 6.01: Introduction to Hypothesis Testing
  71. 6.02: Significance Testing
  72. 6.03: Type I and II Errors
  73. 6.04: One- and Two-Tailed Tests
  74. 6.05: Significant Results
  75. 6.06: Non-Significant Results
  76. 6.07: Steps in Hypothesis Testing
  77. 6.08: Significance Testing and Confidence Intervals
  78. 6.09: Misconceptions of Hypothesis Testing
  79. 6.10: Statistical Literacy
  80. 6.E: Logic of Hypothesis Testing (Exercises)
  81. 07: Estimation
  82. 7.01: Introduction to Estimation
  83. 7.02: Degrees of Freedom
  84. 7.03: Characteristics of Estimators
  85. 7.04: Bias and Variability Simulation
  86. 7.05: Confidence Intervals
  87. 7.06: Confidence Intervals Intro
  88. 7.07: Confidence Interval for Mean
  89. 7.08: t Distribution
  90. 7.09: Confidence Interval Simulation
  91. 7.10: Difference between Means
  92. 7.11: Correlation
  93. 7.12: Proportion
  94. 7.13: Statistical Literacy
  95. 7.E: Estimation (Exercises)
  96. 08: Tests of Means
  97. 8.01: Testing a Single Mean
  98. 8.02: t Distribution Demo
  99. 8.03: Difference between Two Means
  100. 8.04: Robustness Simulation
  101. 8.05: Pairwise Comparisons
  102. 8.06: Specific Comparisons
  103. 8.07: Correlated Pairs
  104. 8.08: Correlated t Simulation
  105. 8.09: Specific Comparisons (Correlated Observations)
  106. 8.10: Pairwise (Correlated)
  107. 8.11: Statistical Literacy
  108. 8.E: Tests of Means (Exercises)
  109. 09: Describing Bivariate Data
  110. 9.01: Introduction to Bivariate Data
  111. 9.02: Values of the Pearson Correlation
  112. 9.03: Guessing Correlations
  113. 9.04: Properties of r
  114. 9.05: Computing r
  115. 9.06: Restriction of Range Demo
  116. 9.07: Variance Sum Law II - Correlated Variables
  117. 9.08: Statistical Literacy
  118. 9.E: Describing Bivariate Data (Exercises)
  119. 10: Regression
  120. 10.01: Introduction to Linear Regression
  121. 10.02: Linear Fit Demo
  122. 10.03: Partitioning Sums of Squares
  123. 10.04: Standard Error of the Estimate
  124. 10.05: Inferential Statistics for b and r
  125. 10.06: Influential Observations
  126. 10.07: Regression Toward the Mean
  127. 10.08: Introduction to Multiple Regression
  128. 10.09: Statistical Literacy
  129. 10.E: Regression (Exercises)
  130. 11: Power
  131. 11.01: Introduction to Power
  132. 11.02: Example Calculations
  133. 11.03: Power Demo
  134. 11.04: Power Demo II
  135. 11.05: Factors Affecting Power
  136. 11.06: Statistical Literacy
  137. 11.E: Power (Exercises)
  138. 12: Effect Size
  139. 12.01: Prelude to Effect Size
  140. 12.02: Proportions
  141. 12.03: Difference Between Two Means
  142. 12.04: Proportion of Variance Explained
  143. 12.05: Statistical Literacy
  144. 12.06: Effect Size (Exercises)
  145. 13: Analysis of Variance
  146. 13.01: Introduction to ANOVA
  147. 13.02: ANOVA Designs
  148. 13.03: One-Factor ANOVA
  149. 13.04: One-Way Demo
  150. 13.05: Multi-Factor Between-Subjects
  151. 13.06: Unequal Sample Sizes
  152. 13.07: Tests Supplementing
  153. 13.08: Within-Subjects
  154. 13.09: Power of Within-Subjects Designs Demo
  155. 13.10: Statistical Literacy
  156. 13.E: Analysis of Variance (Exercises)
  157. 14: Case Studies
  158. 14.01: Angry Moods
  159. 14.02: Flatulence
  160. 14.03: Physicians Reactions
  161. 14.04: Teacher Ratings
  162. 14.05: Diet and Health
  163. 14.06: Smiles and Leniency
  164. 14.07: Animal Research
  165. 14.08: ADHD Treatment
  166. 14.09: Weapons and Aggression
  167. 14.10: SAT and College GPA
  168. 14.11: Stereograms
  169. 14.12: Driving
  170. 14.13: Stroop Interference
  171. 14.14: TV Violence
  172. 14.15: Obesity and Bias
  173. 14.16: Shaking and Stirring Martinis
  174. 14.17: Adolescent Lifestyle Choices
  175. 14.18: Chocolate and Body Weight
  176. 14.19: Bedroom TV and Hispanic Children
  177. 14.20: Weight and Sleep Apnea
  178. 14.21: Misusing SEM
  179. 14.22: School Gardens and Vegetable Consumption
  180. 14.23: TV and Hypertension
  181. 14.24: Dietary Supplements
  182. 14.25: Young People and Binge Drinking
  183. 14.26: Sugar Consumption in the US Diet
  184. 14.27: Nutrition Information Sources and Older Adults
  185. 14.28: Mind Set - Exercise and the Placebo Effect
  186. 14.29: Predicting Present and Future Affect
  187. 14.30: Exercise and Memory
  188. 14.31: Parental Recognition of Child Obesity
  189. 14.32: Educational Attainment and Racial Ethnic and Gender Disparity
  190. 15: Calculators
  191. 15.01: Analysis Lab
  192. 15.02: Binomial Distribution
  193. 15.03: Chi Square Distribution
  194. 15.04: F Distribution
  195. 15.05: Inverse Normal Distribution
  196. 15.06: Inverse t Distribution
  197. 15.07: Normal Distribution
  198. 15.08: Power Calculator
  199. 15.09: r to Fisher z'
  200. 15.10: Studentized Range Distribution
  201. 15.11: t Distribution