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STAT 300: Introduction to Probability and Statistics

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STAT 300: Introduction to Probability and Statistics

This course is an introduction to probability and statistics. Topics include: elementary principles and applications of descriptive statistics, elementary probability principles, probability distributions, estimation of parameters, hypothesis testing, linear regression and correlation, and ANOVA. Scientific calculators with two-variable statistics capabilities may be required.

Mathematics
Author
Nam Lam
Publisher
Consumes River College
Source
LibreTexts
Language
EN
Category
Basic Sciences
Read online Download PDF (open licence)
Contents· 59 sections
  1. 01: Collecting Data
  2. 1.01: What is Statistics
  3. 1.02: Sampling Methods
  4. 1.03: Experimental Design
  5. 1.04: How Not to Do Statistics
  6. 02: Graphical Summaries of Data
  7. 2.01: Qualitative Data
  8. 2.02: Quantitative Data
  9. 2.03: Other Graphical Representations of Data
  10. 03: Numerical Summaries of Data
  11. 3.01: Measures of the Center of the Data
  12. 3.02: Skewness and the Mean Median and Mode
  13. 3.03: Measures of the Spread of the Data
  14. 3.04: The Empirical Rule and Chebyshev's Theorem
  15. 3.05: Measures of the Location of the Data
  16. 3.5E: Measures of the Location of the Data (Exercises)
  17. 3.06: Box Plots
  18. 04: Probability
  19. 4.01: Empirical Probability
  20. 4.02: Theoretical Probability
  21. 4.03: Conditional Probability
  22. 4.04: Contingency Tables
  23. 05: Discrete Probability Distributions
  24. 5.01: Basics of Probability Distributions
  25. 5.02: Binomial Probability Distribution
  26. 5.03: Mean and Standard Deviation of Binomial Distribution
  27. 06: The Normal Distribution
  28. 6.01: Graphs of the Normal Distribution
  29. 6.02: Finding Probabilities for the Normal Distribution
  30. 6.03: Sampling Distribution and the Central Limit Theorem
  31. 6.04: The Sample Proportion
  32. 07: One-Sample Confidence Intervals
  33. 7.01: Basics of Confidence Intervals
  34. 7.02: One-Sample Interval for the Proportion
  35. 7.03: One-Sample Interval for the Mean
  36. 7.04: Sample Size Considerations
  37. 08: One-Sample Hypothesis Tests
  38. 8.01: The Elements of Hypothesis Testing
  39. 8.02: The Observed Significance of a Test
  40. 8.03: One-Sample Proportion Test
  41. 8.04: One-Sample Test for the Mean
  42. 09: Two-Sample Hypothesis Tests and Confidence Intervals
  43. 9.01: Two Proportions
  44. 9.02: Paired Samples for Two Means
  45. 9.03: Independent Samples for Two Means
  46. 9.04: Which Analysis Should You Conduct
  47. 10: Goodness of Fit and Test for Independence
  48. 10.01: Chi-Square Test for Independence
  49. 10.02: Chi-Square Goodness of Fit
  50. 11: ANOVA
  51. 11.01: Analysis of Variance (ANOVA)
  52. 12: Linear Regression
  53. 12.01: Regression
  54. 12.02: Correlation
  55. 12.03: Inference for Regression and Correlation
  56. 13: Appendix
  57. 13.01: STAT 300 Nam Lam Video Lectures
  58. 13.02: Nam Lam STAT 300 MyOpenMath Homework
  59. 13.03: Nam Lam STAT 300 Lecture Handouts