STAT C1000

by Edward Pineda-Castro

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Publisher
Los Angeles City College
Subjects
Mathematics
Licence
CC BY-SA 4.0, as LibreTexts states it
Who can read
Tweens 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. 1: Introduction to Statistics
  7. 1.1: Introduction to Statistics
  8. 1.2: Sampling Designs
  9. 1.3: Experimental Designs
  10. 1.4: Types of Data
  11. 2: Visual Summaries of Data
  12. 2.1: Visual Summaries of Qualitative Data
  13. 2.2: Visual Summaries of Quantitative Data
  14. 2.3: Other Charts
  15. 2.4: Distribution Shapes
  16. 2.5: Organizing Bivariate Data
  17. 2.6: Misleading Graphs
  18. 3: Numerical Summaries of Data
  19. 3.1: Measures of Center
  20. 3.2: Parameter and Statistic
  21. 3.3: Measures of Variation
  22. 3.4: Interpreting the Mean and Standard Deviation
  23. 3.5: Measures of Relative Standing
  24. 3.6: Five-Number Summaries and Boxplots
  25. 4: Probability Concepts
  26. 4.1: Introduction to Probability
  27. 4.2: Finding the Probability
  28. 4.3: Probability Rules
  29. 4.4: Probabilities from Frequency Tables
  30. 4.5: Conditional Probability and Multiplication Rules
  31. 5: Combinatorics Concepts
  32. 5.1: Introduction to Combinatorics
  33. 5.2: Permutations and Combinations
  34. 5.3: Tossing a Coin
  35. 6: Discrete Random Variables
  36. 6.1: Discrete Random Variables
  37. 6.2: Applications of Discrete Random Variables
  38. 6.3: Binomial Random Variables
  39. 7: Continuous Random Variables
  40. 7.1: Continuous Random Variables
  41. 7.2: Standard Types of Continuous Random Variables
  42. 7.3: Other Continuous Random Variables
  43. 8: Normal Distributions
  44. 8.1: Normal Random Variables
  45. 8.2: Applications of Normal Random Variables
  46. 8.3: Normality Plots
  47. 8.4: Approximating Binomial Random Variables
  48. 9: The Central Limit Theorem
  49. 9.1: The Central Limit Theorem for Sample Means
  50. 9.2: The Central Limit Theorem for Sample Sums
  51. 9.3: The Central Limit Theorem for Sample Proportions
  52. 9.4: Estimating Parameters
  53. 10: Estimating Parameters
  54. 10.1: Estimating the Population Mean
  55. 10.2: The One Mean T Procedure
  56. 10.3: The One Proportion Z Procedure
  57. 10.4: The One Variance Chi-Squared Procedure
  58. 10.5: The Summary of Confidence Intervals
  59. 11: Hypothesis Testing
  60. 11.1: One Mean Z Test
  61. 11.2: One Mean T Test
  62. 11.3: One Proportion Z Test
  63. 11.4: One Variance Chi-Squared Test
  64. 11.5: The Summary of Hypothesis Testing for One Parameter
  65. 12: Inferences about Two Parameters
  66. 12.1: Two Variances F Test
  67. 12.2: Two Proportions Z Test
  68. 12.3: Two Means Z Test
  69. 12.4: Two Means T Pooled Test
  70. 12.5: Two Means T Non-Pooled Test
  71. 12.6: Two Paired Means T Test
  72. 12.7: The Summary of Hypothesis Testing for Two Parameters
  73. 13: Chi-Squared Procedures
  74. 13.1: The Goodness-of-Fit Test
  75. 13.2: Homogeneity Test
  76. 13.3: Test for Independence
  77. 14: ANOVA Procedures
  78. 14.1: One-Way ANOVA
  79. 14.2: Two-Way ANOVA
  80. 15: Regression Analysis
  81. 15.1: Introduction to Regression Analysis
  82. 15.2: Linear Regression Analysis
  83. Back Matter
  84. Index
  85. Glossary
  86. Detailed Licensing
  87. Detailed Licensing