Students completing Statway will understand that data analysis is a process that begins with the formulation of a question that can be addressed with appropriate data, followed by the development of a thoughtful plan for identifying and collecting the necessary data. Students will know how data can be displayed and summarized in informative ways, and they will understand how the data can be used to draw conclusions in the presence of uncertainty.
The learning outcomes of Statway are grounded in statistical and mathematical reasoning. The reasoning occurs around major statistical topics reflected in the 11 modules:
- Module 1 focuses on the statistical analysis process and methodology.
- Module 2 focuses on distributions, including center and variability, and data visualization.
- Module 3 focuses on scatterplots, correlation, and regression.
- Module 4 focuses on patterns in data and exponential models.
- Module 5 focuses on two-ways tables and conditional probability.
- Module 6 focuses on probability, probability distributions, binomial distributions, Z-scores, and normal distributions.
- Module 7 focuses on sampling distributions, confidence intervals, and hypothesis tests for a population proportion.
- Module 8 focuses on sampling distributions of differences in two proportions, confidence intervals, and hypothesis tests for the difference in two population proportions.
- Module 9 focuses on sampling distributions of sample means, T-distributions and statistics, confidence intervals, hypothesis tests for population means, paired samples, and independent samples, and one-way ANOVA.
- Module 10 focuses on chi-square statistics and analyses.
- Module 11 focuses on modeling, proportions, and inequalities.