21: Statistics — Foundations & Descriptive Stats

📚 Նյութը

• 📺 Stat Foundations: Population, Sample, Loss, ERM, 🎞️ Սլայդեր, 📝 Notes
• 📺 Descriptive Statistics: Center, Spread, Shape, …, 🎞️ Սլայդեր, 📝 Notes
• 🛠️📺 Practical (ToDo)

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🏡 Տնային

Note

1. ❗❗❗ DON’T CHECK THE SOLUTIONS BEFORE TRYING TO DO THE HOMEWORK BY YOURSELF❗❗❗
2. Please don’t hesitate to ask questions, never forget about the 🍊karalyok🍊 principle!
3. The harder the problem is, the more 🧀cheeses🧀 it has.
4. Problems with 🎁 are just extra bonuses.
5. If the problem involve many boring calculations, feel free to skip them.
6. Submit your solutions here (even if it’s unfinished)

01 Data Visualization

Go over the Data Visualization topic: https://hayktarkhanyan.github.io/python_math_ml_course/python_libs/06_data_viz.html

02 Exploratory Data Analysis

Pick a dataset (e.g. from Kaggle or armstat.am) and explore it:

• Compute summary statistics (mean, median, SD, IQR, skewness, etc.)
• Build histograms, boxplots, scatter plots, and the ECDF

03 Survivorship Bias & Simpson’s Paradox

Come up with your own examples of:

• Survivorship bias
• Simpson’s paradox

🎲 xx+37 (xx)

• ▶️ToDo
• 🔗Random link ToDo
• 🇦🇲🎶ToDo
• 🌐🎶ToDo
• 🤌Կարգին ToDo