This statistics lab manual offers an interactive, applied approach to learning statistical concepts through data-driven exploration and critical thinking. Beginning with foundational skills in organizing and summarizing data, students gradually build their statistical toolkit across a series of ten labs that blend real-world scenarios with core statistical methods.
From investigating measurement error and understanding variability to exploring probability distributions and conducting binomial experiments, students learn to interpret uncertainty and make informed decisions. As they progress, the labs introduce inferential techniques—estimating population parameters, testing hypotheses, and comparing groups using both dependent and independent samples. The manual culminates with an introduction to linear regression, emphasizing how statistical models can be used to make meaningful predictions.
Designed to engage students with hands-on learning, this manual transforms abstract statistical theory into accessible, relevant practice, preparing students to apply statistical reasoning across disciplines.
Got Data?
Lab 1: Exploring Data with Graphical Displays and Numerical Summaries
A Foodie's Dilemma
Lab 2: Variability Due to the Measuring Instrument
Will I Stay or Will I Go?
Lab 3: An Application of Probability Distributions
Just Bead It
Lab 4: A Binomial Experiment
Some "Mean" Distributions
Lab 5: The Sampling Distribution of the Sample Mean
Purely a Matter of Taste
Lab 6: Inference for a Population Proportion
"Exercise... A Tribute to the Heart" Gene Tunney
Lab 7: Inference for a Population Mean
Are You Giving Me the Silent Treatment?
Lab 8: Comparing Two Population Means with Dependent Samples
So Strong and Yet So Soft
Lab 9: Comparing Two Population Means with Independent Samples
You Seem So Distant
Lab 10: Using Regression for Prediction