Hello,
I’d like to share CougarStats, a free and open-source R Shiny web app I developed to support the teaching and learning of Statistics. CougarStats runs entirely in a browser and is designed for accessibility and ease of use. You can explore the app here: https://www.cougarstats.ca/
The name CougarStats is inspired by Mount Royal University’s athletics mascot, the cougar, symbolizing strength and agility, and by the app’s focus on statistics.
Key features of CougarStats
- Descriptive Statistics: Compute measures like mean, median, mode, quartiles, IQR, standard deviation, and identify potential outliers.
- Data Visualization: Construct Boxplots, Histograms, and Scatterplots.
- Probability: Calculate marginal, joint, union, and conditional probability for contingency tables; exact and cumulative probabilities for Binomial, Poisson, Negative Binomial and Hypergeometric distributions; and cumulative probabilities for the Normal distribution.
- Sample Size Estimation: Determine the required sample sizes for various scenarios.
- Statistical Inference: Construct confidence intervals, conduct hypothesis tests for one- and two-samples (mean, proportion and standard deviation).
- ANOVA: Perform one-way Analysis of Variance with an option to conduct Bonferroni post hoc tests.
- Regression and Correlation: Fit simple linear regression models and compute Pearson correlation coefficient, multiple linear regression, logistic regression.
- Categorical Data Analysis: Perform Chi-Square test of independence with and without Yates’ continuity correction, Fisher’s exact test.
- Nonparametric Tests: Perform the Mann-Whitney U Test, Kruskal-Wallis test etc.
I would be delighted if you could explore CougarStats and share it with your students and colleagues who might find it useful.
Thank you for your time, and I look forward to hearing your thoughts.
Sincerely,
Ashok
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Ashok Krishnamurthy, PhD
Associate Professor
Department of Mathematics and Computing
Mount Royal University
4825 Mount Royal Gate SW
Calgary, AB, T3E 6K6 Canada