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Statistics: Open for Everyone

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Statistics: Open for Everyone

Introductory StatisticsStatistics
Author
Christina R. Peter
Publisher
Los Angeles Valley College
Source
LibreTexts
License
CC BY-NC-SA
Language
EN
Category
Basic Sciences
Read online Download PDF (open licence)
Contents· 126 sections
  1. 01: Introduction to Statistics
  2. 1.01: What is Statistics
  3. 1.02: Tenets of Statistics
  4. 1.03: Types of Variables
  5. 1.04: Types of Statistics
  6. 1.05: Statistics and Science
  7. 1.06: How to Succeed in Statistics
  8. 02: Summarizing Data Visually
  9. 2.01: Visually Summarizing Data Univariately
  10. 2.02: How to Read a Data Set
  11. 2.03: The Value of Visual Summaries
  12. 2.04: Frequency Distribution Tables
  13. 2.05: Histograms
  14. 2.06: Frequency Polygons
  15. 2.07: Bar Graphs
  16. 2.08: Using SPSS
  17. 2.09: Chapter References
  18. 03: Measures of Central Tendency
  19. 3.01: The Goal of Summaries
  20. 3.02: Mode
  21. 3.03: Median
  22. 3.04: Mean
  23. 3.05: Reporting Results
  24. 3.06: Summary
  25. 3.07: Chapter References
  26. 04: Measures of Variability
  27. 4.01: Variability
  28. 4.02: Range
  29. 4.03: Standard Deviation
  30. 4.04: Summarizing Results in Sentences
  31. 4.05: Variance
  32. 4.06: Choosing a Measure of Variability
  33. 4.07: Using SPSS
  34. 05: The Normal Curve z-Scores and Probability
  35. 5.01: The Normal Curve z-Scores and Probability
  36. 5.02: The Normal Distribution Curve
  37. 5.03: z-Scores
  38. 5.04: Finding Probabilities
  39. 5.05: Probability and Inferential Statistics
  40. 06: The Foundations of Hypothesis Testing
  41. 6.01: Developing Hypotheses
  42. 6.02: One-Tailed vs. Two-Tailed Tests
  43. 6.03: Sampling Distributions
  44. 6.04: Hypothesis Testing
  45. 6.05: Errors and Statistical Significance
  46. 6.06: Choosing Statistical Tests
  47. 6.07: References
  48. 07: One Sample t-Tests
  49. 7.01: t-Statistics and the One Sample t-tests
  50. 7.02: The Logic of a t-Distribution
  51. 7.03: The One Sample t-Test Formula
  52. 7.04: Reporting Results
  53. 7.05: Practice Example of how to Compute t when Descriptive Statistics are Provided
  54. 7.06: Using SPSS
  55. 7.07: Structured Summary for the One Sample t-Test
  56. 7.08: References
  57. 08: Independent Samples t-Tests
  58. 8.01: Variables Data and Hypotheses that Fit the Independent Samples t-Test
  59. 8.02: Experimental Design and Cause-Effect
  60. 8.03: The Independent Samples t-Test Formula
  61. 8.04: Example of how to Test a Hypothesis by Computing t.
  62. 8.05: Addressing Violations to Assumptions
  63. 8.06: Using SPSS
  64. 8.07: Structured Summary for the Independent Samples t-Test
  65. 8.08: References
  66. 09: Dependent Samples t-Tests
  67. 9.01: Variables Data and Hypotheses that Fit the Dependent Samples t-Test
  68. 9.02: The Dependent Samples t-Test Formula
  69. 9.03: Distinguishing Parts of the Dependent Samples t-Test Formula
  70. 9.04: Using SPSS
  71. 9.05: Structured Summary for the Dependent Samples t-Test
  72. 9.06: References
  73. 10: One-Way ANOVA
  74. 10.01: Introduction to One-Way ANOVA
  75. 10.02: Variables Data and Hypotheses that Fit a One-way ANOVA
  76. 10.03: The One-Way ANOVA Formula
  77. 10.04: Using the ANOVA Formula
  78. 10.05: Addressing Violations to Assumptions
  79. 10.06: Using SPSS
  80. 10.07: Structured Summary for the One-Way ANOVA
  81. 10.08: One-Way ANOVA Calculations Chart
  82. 11: Repeated-Measures ANOVA
  83. 11.01: Introduction to Repeated-Measures ANOVA
  84. 11.02: Variables Data and Hypotheses that Fit a Repeated-Measures ANOVA
  85. 11.03: The Foundations of Repeated-Measures ANOVA Formula
  86. 11.04: Computations with the Repeated-Measures ANOVA Formula
  87. 11.05: Testing a Hypothesis with Repeated Measures ANOVA
  88. 11.06: Structured Summary for the Repeated-measures ANOVA
  89. 12: Bivariate Correlation
  90. 12.01: Introduction to Bivariate Correlation
  91. 12.02: Variables
  92. 12.03: Data and Assumptions
  93. 12.04: Hypotheses
  94. 12.05: Interpretation of r-Values
  95. 12.06: The Bivariate Correlation Formula
  96. 12.07: Using SPSS
  97. 12.08: Structured Summary for Bivariate Correlation
  98. 13: Simple Linear Regression
  99. 13.01: Introduction to Linear Regression
  100. 13.02: Variables
  101. 13.03: Data and Assumptions
  102. 13.04: Prediction in Regression
  103. 13.05: Hypotheses
  104. 13.06: Visualizing Linear Regression
  105. 13.07: The Purpose of the Four Parts of a Regression Analysis
  106. 13.08: Visualizing Predictions and Residuals in Regression
  107. 13.09: Testing a Regression Model
  108. 13.10: Computing F
  109. 13.11: Example of How to Test a Hypothesis Using Regression
  110. 13.12: Testing a Hypothesis with Regression in SPSS
  111. 14: Chi-Squared
  112. 14.01: Introduction to Non-Parametric Tests
  113. 14.02: Chi-squared Goodness of Fit
  114. 14.03: Testing Goodness of Fit with Chi-Squared
  115. 14.04: Example of How to Test a Hypothesis Using Chi-squared Goodness of Fit
  116. 14.05: Testing Independence with Chi-Squared
  117. 14.06: Using SPSS
  118. 14.07: Structured Summary for Chi-Squared
  119. 15: Appendix
  120. 15.01: Appendix A- Math Symbols and Their Operations
  121. 15.02: Appendix B- Order of Operations
  122. 15.03: Appendix C- The Z-Distribution Table
  123. 15.04: Appendix D- The t-Tables
  124. 15.05: Appendix E- The F-Tables
  125. 15.06: Appendix F- The q-Tables
  126. 15.07: Appendix G- The r-Tables