AI Basics with AK

Season 03 - Introduction to Statistics

Arun Koundinya Parasa

Episode 01

What Is Statistics, Really?

Agenda

  • What is Statistics?
  • Descriptive vs Inferential Statistics
  • Why AI Needs Statistics
  • Real-Life Examples
  • Use Cases in Business & Government
  • Visual Demo with Simple Data
  • Key Takeaways

What is Statistics?

Statistics is the science of learning from data.

  • It helps us make sense of numbers.
  • It reveals patterns hidden in the chaos.
  • It supports better decisions in uncertain conditions.

🧠 Think of it as: > “A flashlight in the dark cave of data.”

Descriptive vs Inferential Statistics

Descriptive

  • Summarizes what we already know
  • Mean, median, mode, standard deviation
  • Charts, graphs

🧊 Like describing the ice cube you’re holding.

Inferential

  • Makes predictions from samples
  • Confidence intervals, hypothesis tests

🔮 Like guessing how cold the whole freezer is from just a few cubes.

Why AI Needs Statistics

  • Models learn from data patterns
  • Evaluation depends on accuracy, error, variation
  • Sampling & generalization are core to ML algorithms

📌 No statistics → No insight.

Real-Life Examples

  • Health: What’s the average heart rate for a 30-year-old?
  • Education: Do students who sleep more perform better?
  • Sports: How consistent is a cricketer’s performance?

💡 In every case, we need: 1. Data 2. Understanding 3. Decision

Use Case: Business Decisions

  • Understanding customer trends
  • Improving marketing with A/B testing
  • Forecasting inventory needs

📈 Businesses thrive on informed decisions.

Use Case: Government Planning

  • Planning hospitals and schools using census data
  • Tracking population and regional needs
  • Allocating resources effectively

🧮 Policies backed by real numbers.

Visual Demo

Student Sleep Hours Exam Score
A 6 72
B 8 85
C 5 65
D 7 78
E 4 60

🧠 What patterns do you notice?

  • Is more sleep associated with better scores?
  • What’s the average score?

Key Takeaways

  • Statistics helps us understand and predict.
  • Descriptive = summarize; Inferential = generalize.
  • AI is built on statistical reasoning.
  • You’re already using stats in everyday life!

Coming Up Next

Episode 02: Types of Data
🔹 Categorical vs Numerical
🔹 Structured vs Unstructured
🔹 Why data type matters in analysis

Stay curious! 🧠✨

Thank You