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Introductory Statistics

Nguồn ngoài

Introductory Statistics

This introductory statistics text is intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal distribution, linear regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world.

Introductory StatisticsStatistics
Tác giả
Hannah Seidler-Wright
Nhà xuất bản
Chaffey College
Nguồn
LibreTexts
Giấy phép
CC BY-NC-SA
Ngôn ngữ
EN
Danh mục
Khoa học cơ bản
Đọc trực tuyến Tải PDF (nguồn mở)
Mục lục· 90 mục
  1. 01: Designs of Statistical Studies
  2. 1.01: Welcome to Statistics
  3. 1.1.01: Exercises
  4. 1.02: The Statistical Analysis Process
  5. 1.2.01: Exercises
  6. 1.03: Research Questions Types of Statistical Studies and Stating Reasonable Conclusions
  7. 1.3.01: Exercises
  8. 1.04: Random Sampling and Bias
  9. 1.4.01: Exercises
  10. 1.05: Experiments and Random Assignment
  11. 1.5.01: Exercises
  12. 02: Descriptive Statistics
  13. 2.01: Descriptive Statistics - Dotplots and Histograms
  14. 2.1.01: Exercises
  15. 2.02: Quantifying the Center of a Distribution
  16. 2.2.01: Exercises
  17. 2.03: Quantifying Variability Relative to the Median
  18. 2.3.01: Exercises
  19. 2.04: Quantifying Variability Relative to the Mean
  20. 2.4.01: Exercises
  21. 03: Probability
  22. 3.01: Introduction to Probability
  23. 3.1.01: Exercises
  24. 3.02: Marginal Joint and Conditional Probability
  25. 3.2.01: Exercises
  26. 3.03: The Addition and Complement Rules
  27. 3.3.01: Exercises
  28. 04: Discrete Probability Distributions
  29. 4.01: Discrete Random Variables
  30. 4.1.01: Exercises
  31. 4.02: The Geometric Distribution
  32. 4.2.01: Exercises
  33. 4.03: The Binomial Distribution
  34. 4.3.01: Exercises
  35. 05: Continuous Probability Distributions and The Normal Distribution
  36. 5.01: Probability Distributions of Continuous Random Variables
  37. 5.1.01: Exercises
  38. 5.02: Characteristics of the Normal Distribution and The Empirical Rule
  39. 5.2.01: Exercises
  40. 5.03: The Standard Normal Distribution
  41. 5.3.01: Exercises
  42. 5.04: Finding Critical Values from the Normal Distribution
  43. 5.4.01: Exercises
  44. 06: Inference Involving a Single Population Proportion
  45. 6.01: The Sampling Distribution of Sample Proportions
  46. 6.1.01: Exercises
  47. 6.02: Estimating a Population Proportion
  48. 6.2.01: Exercises
  49. 6.03: Introduction to Hypothesis Testing
  50. 6.3.01: Exercises
  51. 6.04: Hypothesis Tests for a Single Population Proportion
  52. 6.4.01: Exercises
  53. 6.05: Conclusions1
  54. 6.5.01: Exercises
  55. 07: Inference Involving a Single Population Mean
  56. 7.01: The Sampling Distribution of Sample Means
  57. 7.1.01: Exercises
  58. 7.02: The Students T-Distribution
  59. 7.2.01: Exercises
  60. 7.03: Estimating a Population Mean
  61. 7.3.01: Exercises
  62. 7.04: Hypothesis Tests for a Single Population Mean
  63. 7.4.01: Exercises
  64. 7.05: Conclusions2
  65. 7.5.01: Exercises
  66. 08: Inference Involving Two Population Parameters
  67. 8.01: Paired Samples
  68. 8.1.01: Exercises
  69. 8.02: Distributions of Differences
  70. 8.2.01: Exercises
  71. 8.03: Inference for a Difference in Two Population Means
  72. 8.3.01: Exercises
  73. 8.04: Inference for a Difference in Two Population Proportions
  74. 8.4.01: Exercises
  75. 09: Linear Regression
  76. 9.01: Scatterplots
  77. 9.1.01: Exercises
  78. 9.02: Quantifying Direction and Strength
  79. 9.2.01: Exercises
  80. 9.03: The Line of Best Fit
  81. 9.3.01: Exercises
  82. 10: Inference Involving More Than Two Parameters
  83. 10.01: The Chi-Square Distribution
  84. 10.1.01: Exercises
  85. 10.02: Goodness-of-Fit
  86. 10.2.01: Exercises
  87. 10.03: Testing for Independence
  88. 10.3.01: Exercises
  89. 10.04: ANOVA
  90. 10.4.01: Exercises