Learn to master StatCrunch, an online statistics application, through a comprehensive series of tutorials spanning 2 hours and 30 minutes. Begin with data importation techniques, including using "StatCrunchThis" for web data and importing from Google Docs spreadsheets. Explore data manipulation methods like stacking and splitting columns. Dive into various graphical representations such as bar charts, histograms, and boxplots, and learn to handle outliers. Progress to advanced statistical analyses, including t-tests, ANOVA, correlation, and regression. Discover how to create and interpret means plots with confidence intervals, calculate univariate statistics, and perform one-way analysis of variance. Master the creation and interpretation of scatterplots, correlation coefficients, and probability values. Conclude with bivariate and multiple regression techniques, and learn how to export your tables and figures for presentation or further analysis.
Overview
Syllabus
Working with StatCrunch: Importing Web Data with "StatCrunchThis".
Working with StatCrunch: Importing Data from a Google Docs Spreadsheet.
Working with StatCrunch: Stacking and Splitting Columns.
Working with StatCrunch: Bar Charts.
Working with StatCrunch: Bar Charts with Summary Data.
Working with StatCrunch: Grouped Bar Charts.
Working with StatCrunch: Histograms.
Working with StatCrunch: Boxplots.
Working with StatCrunch: Outliers: Exclusions and Transformations.
Working with StatCrunch: Means Plots (With Confidence Intervals).
Working with StatCrunch: Univariate Statistics.
Working with StatCrunch: Comparing Means: t-Test, ANOVA, Correlation, and Regression.
Working with StatCrunch: One-Way Analysis of Variance (ANOVA).
Working with StatCrunch: Scatterplots.
Working with StatCrunch: Correlation Coefficients.
Correlation Probability Values.
Working with StatCrunch: Bivariate (or Simple) Regression.
Working with StatCrunch: Multiple Regression.
Working with StatCrunch: Exporting Tables and Figures.
Taught by
Barton Poulson
