Thư viện Trường Đại học Phú Xuân
STAT C1000

Nguồn ngoài

STAT C1000

Tác giả
Edward Pineda-Castro
Nhà xuất bản
Los Angeles City College
Nguồn
LibreTexts
Giấy phép
CC BY-SA
Ngôn ngữ
EN
Danh mục
Khoa học cơ bản
Mục lục· 77 mục
  1. 01: Introduction to Statistics
  2. 1.01: Introduction to Statistics
  3. 1.02: Sampling Designs
  4. 1.03: Experimental Designs
  5. 1.04: Types of Data
  6. 02: Visual Summaries of Data
  7. 2.01: Visual Summaries of Qualitative Data
  8. 2.02: Visual Summaries of Quantitative Data
  9. 2.03: Other Charts
  10. 2.04: Distribution Shapes
  11. 2.05: Organizing Bivariate Data
  12. 2.06: Misleading Graphs
  13. 03: Numerical Summaries of Data
  14. 3.01: Measures of Center
  15. 3.02: Parameter and Statistic
  16. 3.03: Measures of Variation
  17. 3.04: Interpreting the Mean and Standard Deviation
  18. 3.05: Measures of Relative Standing
  19. 3.06: Five-Number Summaries and Boxplots
  20. 04: Probability Concepts
  21. 4.01: Introduction to Probability
  22. 4.02: Finding the Probability
  23. 4.03: Probability Rules
  24. 4.04: Probabilities from Frequency Tables
  25. 4.05: Conditional Probability and Multiplication Rules
  26. 05: Combinatorics Concepts
  27. 5.01: Introduction to Combinatorics
  28. 5.02: Permutations and Combinations
  29. 5.03: Tossing a Coin
  30. 06: Discrete Random Variables
  31. 6.01: Discrete Random Variables
  32. 6.02: Applications of Discrete Random Variables
  33. 6.03: Binomial Random Variables
  34. 07: Continuous Random Variables
  35. 7.01: Continuous Random Variables
  36. 7.02: Standard Types of Continuous Random Variables
  37. 7.03: Other Continuous Random Variables
  38. 08: Normal Distributions
  39. 8.01: Normal Random Variables
  40. 8.02: Applications of Normal Random Variables
  41. 8.03: Normality Plots
  42. 8.04: Approximating Binomial Random Variables
  43. 09: The Central Limit Theorem
  44. 9.01: The Central Limit Theorem for Sample Means
  45. 9.02: The Central Limit Theorem for Sample Sums
  46. 9.03: The Central Limit Theorem for Sample Proportions
  47. 9.04: Estimating Parameters
  48. 10: Estimating Parameters
  49. 10.01: Estimating the Population Mean
  50. 10.02: The One Mean T Procedure
  51. 10.03: The One Proportion Z Procedure
  52. 10.04: The One Variance Chi-Squared Procedure
  53. 10.05: The Summary of Confidence Intervals
  54. 11: Hypothesis Testing
  55. 11.01: One Mean Z Test
  56. 11.02: One Mean T Test
  57. 11.03: One Proportion Z Test
  58. 11.04: One Variance Chi-Squared Test
  59. 11.05: The Summary of Hypothesis Testing for One Parameter
  60. 12: Inferences about Two Parameters
  61. 12.01: Two Variances F Test
  62. 12.02: Two Proportions Z Test
  63. 12.03: Two Means Z Test
  64. 12.04: Two Means T Pooled Test
  65. 12.05: Two Means T Non-Pooled Test
  66. 12.06: Two Paired Means T Test
  67. 12.07: The Summary of Hypothesis Testing for Two Parameters
  68. 13: Chi-Squared Procedures
  69. 13.01: The Goodness-of-Fit Test
  70. 13.02: Homogeneity Test
  71. 13.03: Test for Independence
  72. 14: ANOVA Procedures
  73. 14.01: One-Way ANOVA
  74. 14.02: Two-Way ANOVA
  75. 15: Regression Analysis
  76. 15.01: Introduction to Regression Analysis
  77. 15.02: Linear Regression Analysis