Measures of central tendency

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Explores martingales, Brownian movement, mean numbers, and generation hypotheses.

Covers the concept of stationarity in continuous-time stochastic processes and its implications in communication systems.

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

Covers statistical analysis and visualization of morphometric data, including discrimination between tree types and numpy calculations.

Delves into ancient geometric means and their modern applications in geometry.

Introduces types of variables, multinomial distribution, data characteristics, shapes of densities, correlation, and data visualization methods.

Covers types of mortgages, statistical methods, descriptive statistics, and property valuation techniques.

Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.

Covers the concept of variance for random variables and introduces calculation rules.