Random Variables
Über den Vortrag
Der Vortrag „Random Variables“ von David Spade, PhD ist Bestandteil des Kurses „Statistics Part 1“. Der Vortrag ist dabei in folgende Kapitel unterteilt:
- Random Variables
- Expected Values
- Evaluating Spread
- Properties of Variances
Quiz zum Vortrag
What best describes a numeric value based on the outcome of a random event?
- A numeric value based on the outcome of a random event is known as a random variable.
- A numeric value based on the outcome of a random event is known as a probability model.
- A numeric value based on the outcome of a random event is known as an expected value.
- A numeric value based on the outcome of a random event is known as a random phenomenon.
- A numeric value based on the outcome of a random event is known as a unique variable.
In a coin-flipping game, you get two points for heads, and you lose one point for tails. The coin is heads with probability of 1/3 and tails with probability of 2/3. What is the expected value of X that corresponds with the number of points for a coin flip?
- The expected value of X is 0.
- The expected value of X is 1.
- The expected value of X is -1.
- The expected value of X is 3.
- The expected value of X is 1/3.
In a coin-flipping game, you get two points for heads, and you lose one point for tails. The coin comes up heads with probability 1/3 and tails with probability 2/3. What is the variance, given by the value X?
- The variance of X is 2.
- The variance of X is -1.
- The variance of X is 0.
- The variance of X is 5.
- The variance is -2.
In a coin-flipping game, you get two points for heads, and you lose one point for tails. The coin comes up heads with probability 1/3 and tails with probability 2/3. You independently flip the coin twice. What are the expected value and the variance for two coin flips?
- The expected total is 0 and the variance is 4.
- The expected total is 0 and the variance is 0.
- The expected total is 1 and the variance is 4.
- The expected total is 0 and the variance is 2.
- The expected total is 1 and the variance is 2.
Which of the following is TRUE of random variables?
- For any two independent random variables X and Y, Var (X+Y) = Var (X) + Var (Y).
- For any two random variables X and Y, SD (X+Y) = SD (X) + SD (Y).
- For any two independent random variables X and Y, SD (X+Y) = SD (X) + SD (Y).
- For any two random variables X and Y, Var (X+Y) = Var (X) + Var (Y).
- For any two random variables X and Y, Var (X+Y) = Var (X) * Var (Y).
Dozent des Vortrages Random Variables
David Spade, PhD
Dr. David Spade is an Assistant Professor of Mathematical Sciences and Statistics at the University of Wisconsin-Milwaukee and holds a courtesy appointment as an Assistant Professor of Statistics at the University of Missouri-Kansas City, USA.
He obtained his MS in Statistics in 2010 and then completed his PhD in Statistics from Ohio State University in 2013.
An experienced mathemathics instructor, Dr. Spade has been teaching diverse statistics courses from the introductory to the graduate level since 2007.
Within Lecturio, he teaches courses on Statistics.
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