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HCC: Introduction to Statistics

Nguồn ngoài

HCC: Introduction to Statistics

Mathematics
Tác giả
Matthew Lathrop
Nhà xuất bản
Heartland Community College
Nguồn
LibreTexts
Ngôn ngữ
EN
Danh mục
Khoa học cơ bản
Đọc trực tuyến Tải PDF (nguồn mở)
Mục lục· 55 mục
  1. 01: Introducing Data
  2. 1.1: R and Data
  3. 1.2: How to download and install R
  4. 1.3: Introduction
  5. 1.4: Definitions of Statistics Probability and Key Terms
  6. 1.5: Data Sampling and Variation in Data and Sampling
  7. 02: Visualizing Data
  8. 2.1: Frequency Frequency Tables and Levels of Measurement
  9. 2.2: Histograms Frequency Polygons and Time Series Graphs
  10. 2.3: Box Plots
  11. 03: Summarizing Data
  12. 3.1: Measures of the Center of the Data
  13. 3.2: Skewness and the Mean Median and Mode
  14. 3.3: Measures of the Spread of the Data
  15. 3.4: Measures of the Location of the Data
  16. 04: Probability
  17. 4.1: Terminology
  18. 4.2: Independent and Mutually Exclusive Events
  19. 4.3: Two Basic Rules of Probability
  20. 4.4: Binomial Distribution
  21. 4.5: Mean or Expected Value and Standard Deviation
  22. 4.6: The Standard Normal Distribution
  23. 4.7: Using the Normal Distribution
  24. 05: Estimating Proportions
  25. 5.1: The Central Limit Theorem for Sample Means (Averages)
  26. 5.2: Using the Central Limit Theorem
  27. 5.3: A Population Proportion
  28. 5.4: A Single Population Mean using the Normal Distribution
  29. 06: Estimating Averages
  30. 6.1: The Central Limit Theorem for Sums
  31. 6.2: A Single Population Mean using the Student t-Distribution
  32. 07: Testing Proportions
  33. 7.1: Null and Alternative Hypotheses
  34. 7.2: Outcomes and the Type I and Type II Errors
  35. 7.3: Rare Events the Sample Decision and Conclusion
  36. 7.4: Additional Information and Full Hypothesis Test Examples
  37. 08: Testing Averages
  38. 8.1: Distribution Needed for Hypothesis Testing
  39. 8.2: Additional Information and Full Hypothesis Test Examples
  40. 09: Comparing 2 Averages
  41. 9.1: Two Population Means with Unknown Standard Deviations
  42. 9.2: Comparing Two Independent Population Proportions
  43. 9.3: Matched or Paired Samples
  44. 10: Comparing 3 or More Averages
  45. 10.1: One-Way ANOVA
  46. 10.2: Post-Hoc Analysis
  47. 11: Linear Models
  48. 11.1: Linear Equations
  49. 11.2: Scatter Plots
  50. 11.3: The Regression Equation
  51. 11.4: Testing the Significance of the Correlation Coefficient
  52. 11.5: Prediction
  53. 12: Categorical Data
  54. 12.1: Stem-and-Leaf Graphs (Stemplots) Line Graphs and Bar Graphs
  55. 12.2: Test of Independence