Phu Xuan University Library
|
PXU E-LIB
Sign in
MA336:Statistics

External

MA336:Statistics

This book is a remix following the syllabus of a one-semester-long Statistics course of Queensborough Community College of The City University of New York. Chapters 1, 3, and 4 are from Concepts in Statistics (Lumen). Chapter 2 is from Introductory Statistics with Probability (CUNY). Chapters 5-8 are from Introductory Statistics (Shafer and Zhang). Chapters 9 and 10 are from Introductory Statistics (OpenStax).

Statistics
Author
Fei Yi
Publisher
Queensborough Community College
Source
LibreTexts
Language
EN
Category
Basic Sciences
Read online Download PDF (open licence)
Contents· 106 sections
  1. 01: Introduction to Statistical Studies
  2. 1.01: Why It Matters- Types of Statistical Studies and Producing Data
  3. 1.02: Introduction to Types of Statistical Studies
  4. 1.03: Types of Statistical Studies (1 of 4)
  5. 1.04: Types of Statistical Studies (2 of 4)
  6. 1.05: Types of Statistical Studies (3 of 4)
  7. 1.06: Types of Statistical Studies (4 of 4)
  8. 1.07: Introduction to Sampling
  9. 1.08: Sampling (1 of 2)
  10. 1.09: Sampling (2 of 2)
  11. 1.10: Data Sampling and Variation in Data and Sampling
  12. 1.11: Introduction to Conducting Experiments
  13. 1.12: Conducting Experiments (1 of 2)
  14. 1.13: Conducting Experiments (2 of 2)
  15. 1.14: Putting It Together- Types of Statistical Studies and Producing Data
  16. 02: Descriptive Statistics
  17. 2.01: Organizing and Graphing Qualitative Data
  18. 2.02: Organizing and Graphing Quantitative Data
  19. 2.03: Stem-and-Leaf Displays
  20. 2.04: Measures of Central Tendency- Mean Median and Mode
  21. 2.05: Measures of Position- Percentiles and Quartiles
  22. 2.06: Box Plots
  23. 2.07: Measures of Spread- Variance and Standard Deviation
  24. 2.08: Skewness and the Mean Median and Mode
  25. 03: Examining Relationships- Quantitative Data
  26. 3.01: Why It Matters- Examining Relationships- Quantitative Data
  27. 3.02: Linear Regression (4 of 4)
  28. 3.03: Introduction to Assessing the Fit of a Line
  29. 3.04: Assessing the Fit of a Line (1 of 4)
  30. 3.05: Assessing the Fit of a Line (2 of 4)
  31. 3.06: Assessing the Fit of a Line (3 of 4)
  32. 3.07: Assessing the Fit of a Line (4 of 4)
  33. 3.08: Putting It Together- Examining Relationships- Quantitative Data
  34. 3.09: StatTutor- Academic Performance
  35. 3.10: Assignment- Scatterplot
  36. 3.11: Assignment- Linear Relationships
  37. 3.12: Introduction to Scatterplots
  38. 3.13: Assignment- Linear Regression
  39. 3.14: Scatterplots (1 of 5)
  40. 3.15: Scatterplots (2 of 5)
  41. 3.16: Scatterplots (3 of 5)
  42. 3.17: Scatterplots (4 of 5)
  43. 3.18: Scatterplots (5 of 5)
  44. 3.19: Introduction to Linear Relationships
  45. 3.20: Linear Relationships (1 of 4)
  46. 3.21: Linear Relationships (2 of 4)
  47. 3.22: Linear Relationships (3 of 4)
  48. 3.23: Linear Relationships (4 of 4)
  49. 3.24: Introduction to Association vs Causation
  50. 3.25: Causation and Lurking Variables (1 of 2)
  51. 3.26: Causation and Lurking Variables (2 of 2)
  52. 3.27: Introduction to Linear Regression
  53. 3.28: Linear Regression (1 of 4)
  54. 3.29: Linear Regression (2 of 4)
  55. 3.30: Linear Regression (3 of 4)
  56. 04: Relationships in Categorical Data with Intro to Probability
  57. 4.01: Why It Matters- Relationships in Categorical Data with Intro to Probability
  58. 4.02: Introduction to Two-Way Tables
  59. 4.03: Two-Way Tables (1 of 5)
  60. 4.04: Two-Way Tables (2 of 5)
  61. 4.05: Two-Way Tables (3 of 5)
  62. 4.06: Two-Way Tables (4 of 5)
  63. 4.07: Two-Way Tables (5 of 5)
  64. 4.08: Putting It Together- Relationships in Categorical Data with Intro to Probability
  65. 05: Basic Concepts of Probability
  66. 5.01: Sample Spaces Events and Their Probabilities
  67. 5.02: Complements Intersections and Unions
  68. 5.03: Conditional Probability and Independent Events
  69. 5.E: Basic Concepts of Probability (Exercises)
  70. 06: Discrete Random Variables
  71. 6.01: Random Variables
  72. 6.02: Probability Distributions for Discrete Random Variables
  73. 6.03: The Binomial Distribution
  74. 6.E: Discrete Random Variables (Exercises)
  75. 07: Continuous Random Variables
  76. 7.01: Continuous Random Variables
  77. 7.02: The Standard Normal Distribution
  78. 7.03: Probability Computations for General Normal Random Variables
  79. 7.04: Areas of Tails of Distributions
  80. 7.E: Continuous Random Variables (Exercises)
  81. 08: Sampling Distributions
  82. 8.01: The Mean and Standard Deviation of the Sample Mean
  83. 8.02: The Sampling Distribution of the Sample Mean
  84. 8.03: The Sample Proportion
  85. 8.04: Using the Central Limit Theorem
  86. 8.4E: Using the Central Limit Theorem (Exercises)
  87. 8.E: Sampling Distributions (Exercises)
  88. 09: Confidence Intervals
  89. 9.01: Prelude to Confidence Intervals
  90. 9.02: A Single Population Mean using the Normal Distribution
  91. 9.03: A Single Population Mean using the Student t-Distribution
  92. 9.04: A Population Proportion
  93. 9.05: Confidence Interval - Home Costs (Worksheet)
  94. 9.06: Confidence Interval -Place of Birth (Worksheet)
  95. 9.07: Confidence Interval -Women's Heights (Worksheet)
  96. 9.E: Confidence Intervals (Exercises)
  97. 9.S: Confidence Intervals (Summary)
  98. 10: Hypothesis Testing with One Sample
  99. 10.01: Prelude to Hypothesis Testing
  100. 10.02: Null and Alternative Hypotheses
  101. 10.03: Outcomes and the Type I and Type II Errors
  102. 10.04: Distribution Needed for Hypothesis Testing
  103. 10.05: Rare Events the Sample Decision and Conclusion
  104. 10.06: Additional Information and Full Hypothesis Test Examples
  105. 10.07: Hypothesis Testing of a Single Mean and Single Proportion (Worksheet)
  106. 10.E: Hypothesis Testing with One Sample (Exercises)