STAT 200: Probability and Statistical Inference
Master probability theory and statistical inference for making confident conclusions from data.
14h
Duration
20
Lessons
4.9/5
Rating
150+
Students
Course Preview
Course Description
This course introduces probability theory and statistical inference, covering discrete and continuous probability distributions, sampling, and hypothesis testing. Students learn to calculate confidence intervals and perform significance tests, with applications to real-world datasets. Essential for anyone who needs to understand uncertainty and make reliable statistical conclusions.
What You'll Learn
Fundamental statistical concepts and principles
Data visualization and interpretation techniques
Hypothesis testing and statistical inference
Real-world application of statistical methods
Statistical software tools and techniques
Confidence intervals and margin of error
Course Content
Module 1: Probability Theory
- Probability Fundamentals (30 min)
- Discrete Distributions (35 min)
- Continuous Distributions (40 min)
- Joint Probability (25 min)
Module 2: Statistical Inference
- Sampling Distributions (35 min)
- Confidence Intervals (40 min)
- Hypothesis Testing Theory (45 min)
- Statistical Power (30 min)
Requirements
Prerequisites
- Basic mathematics knowledge (high school level)
- Computer with internet access
- Willingness to practice with real datasets
- No prior statistics experience required
$300
One-time payment • Lifetime access
This course includes:
8+ hours of video content
Downloadable resources
Lifetime access
Mobile friendly
Certificate of completion
Expert support
Your Instructor
Statistics Expert
Professional Statistics Educator with 5+ years of experience teaching students and professionals.
500+ Students Taught
4.9/5 Average Rating
15+ Courses Created
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