Fundamental ideas and applications of statistics.
Due to the nature of this course’s learning outcomes, the exams are only available in a paper format. Please plan for shipping time.
Course Outline: 
Lesson 1. Where Do Data Come From?
Lesson 2: Samples Good and Bad
Lesson 3: What Do Samples Tell Us?
Lesson 4: Sample Surveys in the Real World
Lesson 5: Experiments Good and Bad
Lesson 6: Experiments in the Real World
Lesson 7: Data Ethics
Lesson 8: Measuring
Lesson 9: Do the Numbers Make Sense?
Lesson 10: Graphs, Good and Bad
Lesson 11: Displaying Distributions with Graphs
Lesson 12: Describing Distributions with Numbers
Lesson 13: Normal Distributions
Lesson 14: Describing Relationships: Scatterplots and Correlation
Lesson 15: Describing Relationships: Regression Prediction and Causation
Lesson 16: The Consumer Price Index and Government Statistics
Lesson 17: Thinking About Chance
Lesson 18: Probability Models
Lesson 19: Simulation
Lesson 20: The House Edge: Expected Values
Lesson 21: What Is a Confidence Interval?
Lesson 22: What Is a Test of Significance?
Lesson 23: Use and Abuse of Statistical Inference
Lesson 24: Two-Way Tables and the Chi-Square Test