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Probability and Statistics II

This course discusses properties and applications of random variables. When you’re done, you’ll have enough firepower to undertake a wide variety of modeling and analysis problems; and you’ll be well-prepared for the upcoming Statistics courses.

We’ll begin by introducing the concepts of discrete and continuous random variables. For instance, how many customers are likely to arrive in the next hour (discrete)? What’s the probability that a lightbulb will last more than a year (continuous)?

We’ll learn about various properties of random variables such as the expected value, variance, and moment generating function. This will lead us to a discussion of functions of random variables. Such functions have many uses, including some wonderful applications in computer simulations.

If you enjoy random variables, then you’ll really love joint (two-dimensional) random variables. We’ll provide methodology to extract marginal (one-dimensional) and conditional information from these big boys. This work will enable us to
study the important concepts of independence and correlation.

Along the way, we’ll start working with the R statistical package to do some of our calculations and analysis.

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Length 4 weeks
Effort 6 - 12 hours per week
Starts Aug 24 (next week)
Cost $199
From GTx via edX
Instructor David Goldsman
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Analysis & Statistics Math Engineering

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Rating Not enough ratings
Length 4 weeks
Effort 6 - 12 hours per week
Starts Aug 24 (next week)
Cost $199
From GTx via edX
Instructor David Goldsman
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Analysis & Statistics Math Engineering

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