Introduction
1. Sampling & Data
1. Definitions of Statistics, Probability, and Key Terms
2. Data, Sampling, and Variation in Data and Sampling
3. Levels of Measurement
4. Frequency Distributions
2. Descriptive Statistics
5. Stem-and-Leaf, Line, and Bar Graphs
6. Histograms, Frequency Polygons, and Time Series Graphs
7. Location of the Data
8. Box Plots
9. Center of Data
10. Skewness and the Mean, Median, and Mode
11. Measure the Spread of the Data
3. Probability
12. Terminology
13. Independent and Mutually Exclusive Events
14. Two Basic Rules of Probability
15. Contingency Tables
16. Tree and Venn Diagrams
17. Counting
4. Discrete Random Variables
18. Random Variable - Discrete
19. Mean or Expected Value and Standard Deviation
20. Binomial Distribution
5. Continuous Random Variables
21. Continuous Probability Functions
22. The Uniform Distribution
23. Standard Normal Distribution
24. Using the Normal Distribution
6. The Central Limit Theorem
25. The Central Limit Theorem for Sample Means
26. Central Limit Theorem for Sums & Proportions
27. Using the Central Limit Theorem
7. Confidence Intervals
28. Single Population Mean using the Normal Distribution
29. A Single Population Mean using the Student t Distribution
30. A Population Proportion
8. Hypothesis Testing with One Sample
31. Null and Alternative Hypotheses
32. Distribution Needed for Hypothesis Testing
33. Rare Events, the Sample, Decision and Conclusion
34. Outcomes and the Type I and Type II Errors
35. Additional Information and Full Hypothesis Test Examples
9. Hypothesis Testing with Two Samples
36. Two Population Means (Independent)
37. Comparing Two Independent Population Proportions
38. Matched or Paired Samples
39. Confidence Intervals for the Difference Between Two Means: Independent Samples
11. Testing Multiple Proportions
40. Facts About the Chi-Square Distribution
41. Goodness-of-Fit Test
42. Test of Independence
43. Test for Homogeneity
12. F Distribution and One-Way ANOVA
44. One-Way ANOVA
45. The F Distribution and the F-Ratio
46. ANOVA Hypothesis Testing
13. Linear Regression and Correlation
47. Linear Equations
48. Scatter Plots
49. The Regression Equation
50. Testing the Significance of the Correlation Coefficient
51. Prediction
Errata
Appendix - Distribution Tables
Normal Distribution Table
Student-t Distribution
Chi2 Distribution
F-Distribution
Correlation Critical Values
As updates/corrections are made after the 1st edition hard copy is made available, those corrections will be listed here.
Introductory Statistics with Google Sheets by jkesler is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.