Introductory Statistics at Standard Statistics

This Introductory Statistics course is divided in 11 chapters that intend to cover most, if not all, of the student learning outcomes included in common Intro Stats courses. In particular, it is inspired by the requirements of the University of California, the California State University and the California Community Colleges (all together conforming the California Higher Education System). I have been teaching it for several years in different versions at a variety of 2-year colleges that have articulation with the UC and the CSU. I also know that some of my students get it successfully approved at other universities.

From my experience teaching it I have learned what are the common mistakes students make or the parts that are harder for students to grasp. I have been improving my handouts and lessons for years to better help my students understand those difficult concepts and avoid those mistakes or misconceptions.

Here the 11 chapters:

      Chapter 0: The Journey of Statistics.

      Chapter 1: Collecting Data. Sampling methods and design of experiments.

      Chapter 2: Analyzing and Representing Data with Graphs.

      Chapter 3: Analyzing and Representing Data with Measures. Center, position and spread.

      Chapter 4: Analyzing and Representing Relationships between Numerical Variables.

      Chapter 5: Analyzing and Representing Relationships between Categorical Variables.

      Chapter 6: Discrete and Continuous Distributions. The Binomial and Normal Models.

      Chapter 7: Sampling Distribution of Sample Proportions. Confidence Intervals.

      Chapter 8: Sampling Distribution of Sample Proportions. Hypothesis Testing.

      Chapter 9: Sampling Distribution of Sample Means. Hypothesis Testing and Confidence Intervals.

      Chapter 10: Hypothesis Testing for Categorical Variables. Three or more proportions.

      Chapter 11: Hypothesis Testing for Categorical and Numerical Variables. Three or more means.