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Workshop 1 - Using Histograms & QQplots (graphically investigate sample distributions) | |
Histogram & QQplots | computes the Histogram and QQplot for a univariate data series. |
Workshop 2 - Data Screening | |
Histogram & QQplots | computes the Histogram and QQplot for an univariate data series. The default data was taken from a study by Peter Reddy and Liz Moores from Aston University on the benefits of taking a placement year (Reddy & Moores, 2006). |
Boxplot & Trimmed Means | computes a BoxPlot for a data series classed by a factor variable. The default data was taken from a study by Peter Reddy and Liz Moores from Aston University on the benefits of taking a placement year (Reddy & Moores, 2006). |
Workshop 3 - Descriptive Statistics (about the Carolina Educational Study Dataset) | |
Boxplots & Scatterplot Matrix | computes a boxplot for each variable (by column) and a matrix of scatterplot for each pair of variables. The data vectors were abstracted from the study dataset Bibliographic Citation: Ramey, Craig T., James J. Gallagher, Frances A. Campbell, Barbara H. Wasik, and Joseph J. Sparling. CAROLINA ABECEDARIAN PROJECT AND THE CAROLINA APPROACH TO RESPONSIVE EDUCATION (CARE), 1972-1992 [Computer file]. ICPSR version. Chapel Hill, NC: University of North Carolina [producer], 2002. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2004. |
Simple Z-Test | computes the z-score and probability of occurence of a specified value against a user-defined normal distribution. |
Workshop 4 - Correlation Analysis (about Cognition in Pregnancy: Perceptions and Performance) | |
Correlations | computes the following statistics: Pearson Correlation, Spearman Correlation rho, Kendall Correlation tau. The default data were abstracted from Crawley, R., Cognition in Pregnancy: Perceptions and Performance, 2005-2006 [computer file]. Colchester, Essex: UK Data Archive [distributor], March 2007. SN: 5615. This R module is used in Workshop 4 of the PY2224 statistics course at Aston University, UK. |
Workshop 5 - Wilcoxon-Mann-Whitney Test (testing for a 'Location Difference' between two samples) | |
Wilcoxon-Mann-Whitney Test | computes the Wilcoxon-Mann-Whitney Test. This R module is used in Workshop 5 of the PY2224 statistics course at Aston University, UK. |
Kolmogorov-Smirnov Test | computes the Kolmogorov-Smirnov Test. This R module is used in Workshop 5 of the PY2224 statistics course at Aston University, UK. |
Workshop 6 - T-Tests and Effect Size | |
T-Tests | computes the one- and two-sided T-Tests about the difference of means. This R module is used in Workshop 6 of the PY2224 statistics course at Aston University, UK. |
Workshop 7 - Pearson's Chi-Square Test | |
Chi-Square Tests | computes the Pearson Chi-Square Test and the Exact Pearson Chi-Square Test by Simulation. This R module is used in Workshop 7 of the PY2224 statistics course at Aston University, UK. |
Workshop 8 - One-Way-Between-Groups ANOVA | |
One Factor ANOVA | computes the One-Way-Between-Groups ANOVA, Levene's Test for Equality of Variances, and Tukey's HSD (Honestly Significant Difference) Test. This R module is used in Workshop 8 of the PY2224 statistics course at Aston University, UK. |
Workshop 9 - Two-Way ANOVA and Simple Linear Regression | |
Two Factor ANOVA | computes the Two-Way ANOVA, Levene's Test for Equality of Variances, and Tukey's HSD (Honestly Significant Difference) Test. This R module is used in Workshop 9 of the PY2224 statistics course at Aston University, UK. |
Simple Regression | computes the Simple Linear Regression Model (with one explanatory variable). This R module is used in Workshop 9 of the PY2224 statistics course at Aston University, UK. |
Workshop 10 - Mixed Within-Between Two-Way ANOVA | |
Mixed Two Factor ANOVA | computes the Mixed Within-Between Two-Way ANOVA, Mauchly's Sphericity Test, and the Sphericity Corrections using Greenhouse-Geisser values (GG) or Huynh-Feldt (HF). This R module is used in Workshop 10 of the PY2224 statistics course at Aston University, UK. |