Continuous Probability Distributions: Verifying Probability Density Function

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29 Questions

What is the value of P(0 < X ≤ 1), given the probability density function f(x) = x^2/3, -1 < x < 2?

2/9

What is the cumulative distribution function F(x) of the continuous random variable X with density function f(x) = x^2/3, -1 < x < 2?

F(x) = x^3/9, -1 ≤ x ≤ 2

What is the mean of the random variable X, representing the number of heads in 16 tosses of two coins?

11/16

What is the nature of the probability density function of a continuous random variable?

It is a non-negative function that integrates to 1 over the entire real line.

What is the purpose of the cumulative distribution function F(x) of a continuous random variable X?

To calculate the probability of a range of values of X

What is the value of μ in the given discrete probability distribution?

0.61

What is the formula for calculating the variance of a continuous random variable X with probability density function f(x)?

σ² = E(X²) - μ²

What is the formula for calculating the variance of a function g(X) of a discrete random variable X?

σ² = ∑[g(X) - μg(X)]²f(x)

What is the value of E(X) for the continuous random variable X with probability density function f(x) = 2(x-1), 1 < x < 2?

4/3

What is the formula for calculating the variance of a function g(X) of a continuous random variable X?

σ² = ∫[g(X) - μg(X)]²f(x)dx

What is the value of σ² for the continuous random variable X with probability density function f(x) = 2(x-1), 1 < x < 2?

5/18

What is the covariance of two random variables X and Y with means μX and μY, respectively?

E[(X - μX)(Y - μY)]

What is the formula for the covariance of discrete random variables X and Y?

∑∑ (x - μX)(y - μY)f(x, y)

What does a negative covariance between X and Y indicate?

A negative correlation between X and Y

What is the covariance of X and Y in the 'ballpoint pens' example?

-56/28

What is the first step in finding the covariance of X and Y in the 'fraction of runners' example?

Compute the marginal density functions

What is the interpretation of the covariance of X and Y?

The linear relationship between X and Y

What is the term used to describe the long-term average outcome of a given scenario?

Expected value

What is the probability distribution of X in the given scenario, where X is the number of good components in the sample?

f(x) = Cx × 3 / 7C3

What is the mean or expected value of X if X is a continuous random variable?

μ = E(X) = ∫xf(x)dx from -∞ to ∞

What is the expected value of the number of good components in the sample of 3?

1.714

What is the number of defective components in the lot?

3

If 3 components are selected at random from a lot of 4 good components and 3 defective components, what is the average number of bad components that one will pick?

1.3

What is the variance of the random variable Z = 3X – 2Y + 5 when X and Y are independent random variables with variances σX2 = 2 and σY2 = 3?

30

What is the joint probability distribution of two discrete random variables X and Y?

A joint probability distribution function

What is the relationship between the random variables X and Y in the given problem?

They are independent random variables

What is the value of Z2 = 3X – 2Y + 5 when X and Y are independent random variables with variances σX2 = 2 and σY2 = 3?

30

What is the purpose of the moment-generating function in joint probability distributions?

To find the moment-generating function of the joint distribution

What is the chapter that discusses the joint probability distribution of two random variables?

Chapter 5

Verify whether a given probability density function integrates to 1 and find the probability of a certain range of values. This quiz deals with continuous probability distributions and probability density functions.

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