Lectures related to Interquartile range

Covers mean, median, mode, box plots, and histograms in datasets.

Discusses statistical measures of central tendency and dispersion, focusing on mean, median, and their implications in data analysis.

Explores quantiles, sampling, and histogram density for understanding distributions and constructing confidence intervals.

Provides an overview of Generalized Linear Models, focusing on logistic and Poisson regression models, and their implementation in R.

Covers the theory and operations related to polynomials, including ideals, minimal polynomials, irreducibility, and factorization.

Covers the basics of exploratory statistics, including variables, quantiles, central tendency, dispersion, outliers, and robustness.