📊 Types of Data in Statistics | Statistics with Python | Meritshot Tutorials🤓
Data comes in various forms - numbers, text, images, audio, or video. Learn how it's crucial for:
1️⃣ Descriptive Statistics: Understand central tendencies and distributions.
2️⃣ Inferential Statistics: Make inferences about populations.
3️⃣ Hypothesis Testing: Assess significance and relationships.
4️⃣ Statistical Modeling: Discover patterns and make predictions.
5️⃣ Decision Making: Utilize data for informed choices.
Quality matters! Learn why accurate, reliable data is vital for valid conclusions. 📈
Dive into the two main data types:
🔢 Numerical Data: Continuous & Discrete
📈 Analyze in Python with NumPy and pandas.
📊 Explore Numerical Data with an Employee Dataset in Jupyter notebook. See continuous and discrete examples!
📊 Categorical Data: Nominal & Ordinal
📊 Learn to analyze them using Python and data visualizations.
Join us in unraveling the world of data types in statistics! 🌐✨ Don't forget to like, share, and subscribe for more insightful lectures! 👍📚
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