Learn the math concepts you've been struggling with.
LAB MODULE 1: Descriptive Statistics and Graphics
In Lab Module 1, students learn to differentiate between categorical and quantitative data sets. Students are introduced to Microsoft® Excel® as they graphically depict categorical data with both a pie graph and...
LAB MODULE 2: Probability and The Law of Large Numbers
In Lab Module 2, students are introduced to the fundamental axioms of probability theory, a cornerstone foundation of Statistics. With examples from casino games like Blackjack, poker and Craps, students compute probabilities...
LAB MODULE 3: Event Combinations and Statistical Independence
In Lab Module 3, students are introduced to combinations of events (intersection and union) on a sample space. They Apply the Additive Law of Probability to compute the probability of the union of two events and assess whether two...
LAB MODULE 4: Discrete Random Variables and Expected Value
In Lab Module 4, students are introduced to discrete random variables on a finite sample space. Using examples from a popular TV game show and the game of Skee-Ball, students apply the concept of expected value...
LAB MODULE 5: Normal Random Variables and Sampling Distributions
In Lab Module 5, students learn how to differentiate between continuous and discrete random variables. They determine event probabilities for a normal random variable having mean (μ) and standard deviation (σ). Properties of...
LAB MODULE 6: Confidence Intervals
In Lab Module 6, students expand their knowledge of statistical inference through the creation of confidence intervals. Properties of confidence intervals are explored using Microsoft® Excel®. Students plan the sample size for a statistical study by computing a desired....
LAB MODULE 7: Hypothesis Testing
In Lab Module 7, students conceptualize the theoretical framework for a hypothesis test and discuss the key role of evidence and data in determining its outcome. The Type I and Type II error probabilities for...
LAB MODULE 8: Covariance, Correlation and Simple Linear Regression
In Lab Module 8, students explore the relationships between two quantitative variables. They learn how to compute correlations and interpret linear relationships between two quantitative variables with respect to their correlation.
LAB MODULE 9: Chi-Squared Statistical Hypothesis Testing
In Lab Module 9, students carry out the chi-squared statistical hypothesis test in order to assess the goodness of fit of a statistical model to a data set and to assess statistical independence between two categorical variables.
LAB MODULE 10: Statistical Bias and Study Design
In Lab Module 10, students derive parameters and assess the degree of statistical bias present in a simulation data set. Students consider different statistical study designs and sampling strategies and reflect on how statistical bias may arise in the context of different sampling approaches.