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🎓 📊 Statistics Course: The Normal Distribution

Introductory presentation on the normal distribution with practical examples, plots, and theoretical foundations applied to Statistics.

#statistics #normal distribution #courses

🎓📊 The Normal Distribution — Part 3: Plots, CLT, and Approximate Normality

Visual and theoretical foundations: histograms, Q–Q plots, Law of Large Numbers, and Central Limit Theorem as the basis for approximate normality.

#normal #CLT #LLN #plots #histograms #qqplot

🎓📊 The Normal Distribution — Part 2: z-Score and z-Table

Practical foundations for standardization (z-score), probability lookup in the z-table, and comparative applications.

#normal #z-score #z-table #probabilities #exercises

🎓📊 Normal Distribution — Part 2: z-Score and Z Table

Introdução prática à padronização (escore‑z), leitura da tabela‑z e aplicações: comparação de desempenhos, interpretação de probabilidades, percentis e normal inversa.

#normal #z-score #z-table #probabilities #exercises

🎓📊 Normal Distribution — Part 2: z-Score and Z Table

Introdução prática à padronização (escore‑z), leitura da tabela‑z e aplicações: comparação de desempenhos, interpretação de probabilidades, percentis e normal inversa.

#normal #z-score #z-table #probabilities #exercises

🎓 📊 Statistics Course: The Normal Distribution (Part 1): Introduction to the Normal Distribution

This course aims to present, in an accessible and applied way, the fundamentals of the normal distribution, also known as the Gaussian distribution, supported by graphical visualizations and computational tools.

#statistics #normal distribution #courses #exercises