Stephan Morgenthaler

MSE-213 Applied Biostatistics

R

Demonstrations in class

English

This notebook demonstrates how repeated hypothesis testing can be manipulated to obtain statistically significant results by chance, a practice known as p-hacking. Students will understand why p-value optimization undermines scientific integrity and how to avoid it.

Stephan Morgenthaler

MSE-213 Applied Biostatistics

R

Demonstrations in class

English

This notebook introduces the binomial distribution and its properties. Students will learn how to compute binomial probabilities, visualize the distribution, and apply it to real-world counting problems in statistics.

Stephan Morgenthaler

MSE-213 Applied Biostatistics

R

Demonstrations in class

English

This notebook explores confidence intervals for the slope and intercept of a linear regression model. Students will learn how to compute and interpret confidence bounds, understanding their role in quantifying uncertainty in regression estimates.

Stephan Morgenthaler

MSE-213 Applied Biostatistics

R

Demonstrations in class

English

This notebook illustrates the Central Limit Theorem by sampling from various distributions and observing the convergence of sample means to a normal distribution. Students will gain an intuitive understanding of this foundational theorem in probability and statistics.

Stephan Morgenthaler

MSE-213 Applied Biostatistics

R

Demonstrations in class

English

This notebook visualizes the t-distribution and compares it to the standard normal distribution for different degrees of freedom. Students will understand when to use the t-distribution instead of the normal distribution in statistical inference.

Stephan Morgenthaler

MSE-213 Applied Biostatistics

R

Demonstrations in class

English

This notebook introduces the chi-squared test for assessing goodness of fit and testing independence between categorical variables. Students will learn how to compute the chi-squared statistic and interpret the results using p-values.

Stephan Morgenthaler

MSE-213 Applied Biostatistics

R

Demonstrations in class

English

This notebook explores fitting a linear regression model to data generated by a quadratic (parabolic) relationship. Students will learn about model misspecification, polynomial feature engineering, and how to evaluate the fit of regression models.

Stephan Morgenthaler

MSE-213 Applied Biostatistics

R

Demonstrations in class

English

This notebook introduces the two-sample t-test for comparing the means of two independent groups. Students will learn the assumptions behind the test, how to compute the test statistic, and how to interpret p-values in the context of hypothesis testing.

Stephan Morgenthaler

MSE-213 Applied Biostatistics

R

Demonstrations in class

English

This notebook demonstrates one-way ANOVA through a practical case study comparing taste ratings across multiple groups. Students will learn how to set up the ANOVA test, interpret the F-statistic, and draw conclusions about group differences.

Stephan Morgenthaler

MSE-213 Applied Biostatistics

R

Labs, projects

English

This notebook guides students through implementing custom parameter estimators from scratch. Students will understand how estimator functions work, how to evaluate their performance, and compare them against standard statistical estimators.