All data sets in their current form can be accessed here or via google docs.
As a note, google docs will tend to hold the newer or more accurate versions -- the ones online may be dated.
When possible, question origination and data origination is cited. Please contact me if there are any issues.
Data Set Zero: Language of Statistics
Why Presentation Matters
Previous Knowledge of Information
Data Set One: Learning r and how to handle different sets of data
Lists, breaking up groups, entering data in three ways
Finding the five number summary
Histograms, boxplots, and making graphs
Data Set Two: Outliers Using Two Methods
IQR and standard deviation
Skew vs. normal data
Collection of Data
Data Set Three: The Normal Curve, Efficiently Showing Data
Data Set Four:
Data Set Five: Bivariate Data, creating time plots
Data Set Six: Distinguishing Between All previous types of data
Data Set Seven: Correlation Coefficient
Analyzing Bivariate Data
Data Set Eight: Survey Information
Question Creation
Biased Questions
Interpreting Results
Data Set Nine: creation of loops in r:
Bernoulli Trials
Simulation of Results
Random Selection
Data Set Ten: Miderm Data Set
Data Set Eleven: Confidence Interval
Data Set Twelve: Hypothesis Testing
Data Set Thirteen: Review Data Set, Including Residual Plots
Data Set Fourteen: Two-Way Tables
Chi Squared Testing
Data Set Fifteen: Hypothesis Testing Part II, Building Your Final Project
Data Set Sixteen: Final Project (over the course of several weeks)