- Platform
- edX
- Provider
- Seoul National University
- Effort
- 2-3 hours/week
- Length
- 3 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Course Link
Overview
Statistical Inference is the process by which data is used to draw a conclusion or uncover a scientific truth about a population from a sample. This course aims to familiarize the student with several ideas and instruments for statistical inference. It covers fundamental concepts and properties of probability.
Specifically, you will learn to work with sequences of successes and failures using the binomial formula. You will also learn how the law of averages can be used, as well as how to understand stochastic processes by applying box models. The normal approximation for probability histogram, which is an essential idea for statistical inference, will be discussed in depth in this course.
What you'll learn
Taught by
Ryu Keun-kwan and Jung-min Lee
Statistical Inference is the process by which data is used to draw a conclusion or uncover a scientific truth about a population from a sample. This course aims to familiarize the student with several ideas and instruments for statistical inference. It covers fundamental concepts and properties of probability.
Specifically, you will learn to work with sequences of successes and failures using the binomial formula. You will also learn how the law of averages can be used, as well as how to understand stochastic processes by applying box models. The normal approximation for probability histogram, which is an essential idea for statistical inference, will be discussed in depth in this course.
What you'll learn
- Probability
- The Binomial Formula
- The Law of Averages
- The Expected Value and Standard Error
- The Normal Approximation for Probability Histograms
Taught by
Ryu Keun-kwan and Jung-min Lee