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Statistics 260 - Lecture 10

1. Discuss some rules of expected values. 2. Define the variance and standard deviation of a discr ...

Statistics 260 - Lecture 9

We'll go through an example illustrating the use of the cdf for calculating probabilities associate ...

Statistics 260 - Lecture 8

1. We will introduce the notion of a random variable. 2. Discuss two types of random variables: co ...

Statistics 260 - Lecture 7

Define what it means for two events A and B to be independent. Discuss the calculation of P(ATB) w ...

Statistics 260 - Lecture 6

We will discuss the law of total probability. Using the law of total probability we will present B ...

Statistics 260 - Lecture 5

Introduce the concept of conditional prob- ability. Define conditional probability mathemati- cal ...

Statistics 260 - Lecture 4

We will examine probability in more detail, discuss some of the axioms of probability as well as i ...

Statistics 260 - Lecture 3

We will begin our study of probability beginning with set theory. ¬? What is probability? ¬? Prob ...

Statistics 260 - Lecture 2

Today: We will discuss the most common tools used in descriptive statistics

Statistics 260 - Lecture 1

We begin the course with a short lecture. I will give some information about the course, go over t ...

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