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A probability density function. gives us a way of discussing the probability that a randomly selected number falls between two ...

A deep understanding of what is an experiment, an outcome, a sample space, randomness, a continuous random variable, ...

In this section of the textbook we'll discuss probability; in this particular video we'll informally define a random variable. We are ...

This video covers normal distributions, continuous distributions, density functions, cumulative distribution functions, the 68-95-99.7 ...

This video will cover normal distributions, including continuous distributions, density functions, cumulative distribution functions, ...

In other respects, the probability density function of a continuous random variable behaves exactly like the probability mass ...

You have to know what this probability density function is in order to calculate the expected value of a continuous random variable ...

Introduces the normal distribution as a continuous random variable and describes how we interpret the probability density function ...

Solving normal distribution probability questions using Excel and the =NORM.DIST and =NORM.INV functions. 0:07 Review of the ...

Week 02: Lecture 07: Discrete and Continuous random variables - I.

Finding the mean and standard deviation in discrete probability distributions.

This video will cover binomial distributions, which are a type of discrete distribution. We will first compare discrete and continuous ...

Let's give a classic probability density function, an exponentially decreasing probability function on the real numbers; and even ...

Week 02: Lecture 06: Random variables and Cumulative Density Function.

Let's introduce one more probability density curve called the normal distribution; the normal distribution doesn't maybe look like ...

Random variables come in all shapes and sizes! Statisticians have defined two main categories to bring order to them ...

Week 02: Lecture 08: Discrete and Continuous random variables - II.

Lecture 4: Random variable and Expectation I.

In particular if you have got the closed interval from a to b, this probability density function represents the uniform distribution, and ...

These videos are part of the FREE online book, "Process Improvement using Data", http://yint.org/pid Related is the Coursera ...