Lectures

Random Variables

by David Spade, PhD
(1)

Questions about the lecture
My Notes
  • Required.
Save Cancel
    Learning Material 2
    • PDF
      Foliensatz 13 Stat Spade.pdf
    • PDF
      Download Lecture Overview
    Report mistake

    About the Lecture

    The lecture Random Variables by David Spade, PhD is from the course Statistics Part 1. It contains the following chapters:

    • Random Variables
    • Expected Values
    • Evaluating Spread
    • Properties of Variances

    Included Quiz Questions

    1. A numeric value based on the outcome of a random event is known as a random variable.
    2. A numeric value based on the outcome of a random event is known as a probability model.
    3. A numeric value based on the outcome of a random event is known as an expected value.
    4. A numeric value based on the outcome of a random event is known as a random phenomenon.
    1. The expected value of X is 0.
    2. The expected value of X is 1.
    3. The expected value of X is -1.
    4. The expected value of X is 3.
    1. The variance of X is 2.
    2. The variance of X is -1.
    3. The variance of X is 0.
    4. The variance of X is 5.
    1. The expected total is 0 and the variance is 4.
    2. The expected total is 0 and the variance is 0.
    3. The expected total is 1 and the variance is 4.
    4. The expected total is 0 and the variance is 2.
    1. For any two independent random variables X and Y, Var( X+Y ) = Var (X )+ Var( Y ).
    2. For any two random variables X and Y, SD( X + Y ) = SD( X ) + SD( Y ).
    3. For any two independent random variables X and Y , SD( X + Y ) = SD( X ) + SD( Y ).
    4. For any two random variables X and Y , Var( X + Y ) = Var( X ) + Var( Y ).

    Author of lecture Random Variables

     David Spade, PhD

    David Spade, PhD


    Customer reviews

    (1)

    5,0 of 5 stars
    5 Stars
    5
    4 Stars
    0
    3 Stars
    0
    2 Stars
    0
    1  Star
    0