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Math 11: Elementary Statistics

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Math 11: Elementary Statistics

Statistics
Author
Jim Yang
Publisher
Fresno City College
Source
LibreTexts
License
CC BY-NC-SA
Language
EN
Category
Basic Sciences
Read online Download PDF (open licence)
Contents· 74 sections
  1. 01: Introduction to Statistics
  2. 1.01: Definitions of Statistics and Key Terms
  3. 1.02: Data Sampling and Variation in Data and Sampling
  4. 1.03: Frequency Frequency Tables and Levels of Measurement
  5. 1.3.01: Experimental Design and Ethics
  6. 02: Data Displays
  7. 2.01: Data Sampling and Variation in Data and Sampling
  8. 2.02: Histogram
  9. 2.03: Stem-and-Leaf Graphs (Stemplots) Line Graphs and Bar Graphs
  10. 03: Descriptive Statistics
  11. 3.01: Measures of Center
  12. 3.02: Measures of Variability
  13. 3.03: Relative Position of Data
  14. 3.04: The Empirical Rule and Chebyshev's Theorem
  15. 04: Probability Topics
  16. 4.01: Introduction
  17. 4.1.01: Terminology
  18. 4.1.02: Independent and Mutually Exclusive Events
  19. 4.02: Addition and Multiplication Rule of Probability
  20. 4.03: Conditional Probability using Contingency Tables
  21. 4.E: Probability Topics (Exericses)
  22. 05: Discrete Random Variables
  23. 5.01: Random Variables
  24. 5.1.01: Probability Distributions for Discrete Random Variables
  25. 5.02: The Binomial Distribution
  26. 5.E: Discrete Random Variables (Exercises)
  27. 06: Continuous Random Variables
  28. 6.01: The Standard Normal Distribution
  29. 6.1.01: Continuous Random Variables
  30. 6.1.02: The Standard Normal Distribution
  31. 6.02: The General Normal Distribution
  32. 6.03: The Central Limit Theorem for Sample Means
  33. 6.3E: The Central Limit Theorem for Sample Means (Exercises)
  34. 07: Estimation
  35. 7.01: Estimation of a Population Proportion
  36. 7.02: Estimation of a Population Mean
  37. 7.2.01: Large Sample Estimation of a Population Mean
  38. 7.2.02: Small Sample Estimation of a Population Mean
  39. 7.03: Sample Size Considerations
  40. 7.E: Estimation (Exercises)
  41. 08: Testing Hypotheses
  42. 8.01: The Elements of Hypothesis Testing
  43. 8.02: Tests for a Population Mean
  44. 8.2.01: The Observed Significance of a Test
  45. 8.2.02: Small Sample Tests for a Population Mean
  46. 8.03: Tests for a Population Proportion
  47. 8.E: Testing Hypotheses (Exercises)
  48. 09: Two-Sample Problems
  49. 9.01: Two Population Proportions
  50. 9.02: Two Population Means - Independent Samples
  51. 9.2.01: Large Independent Samples
  52. 9.2.02: Small Independent Samples
  53. 9.03: Two Population Means - Paired Samples
  54. 9.04: Sample Size Considerations
  55. 9.E: Two-Sample Problems (Exercises)
  56. 10: Linear Regression and Correlation
  57. 10.01: Introduction to Linear Regression and Correlation
  58. 10.1.01: Linear Equations
  59. 10.1.1E: Linear Equations (Exercises)
  60. 10.1.02: Scatter Plots
  61. 10.1.2E: Scatter Plots (Exercises)
  62. 10.02: The Regression Equation and Correlation Coefficient
  63. 10.2E: The Regression Equation (Exercise)
  64. 10.03: Testing for Significance Linear Correlation
  65. 10.3E: Testing the Significance of the Correlation Coefficient (Exercises)
  66. 10.04: Prediction
  67. 10.4E: Prediction (Exercises)
  68. 10.E: Linear Regression and Correlation (Exercises)
  69. 11: Chi-Square Tests
  70. 11.01: Chi-Square Tests for Independence
  71. 11.02: Chi-Square One-Sample Goodness-of-Fit Tests
  72. 12: Analysis of Variance
  73. 12.01: F-Tests
  74. 12.02: F-Tests in One-Way ANOVA