Joint Probability Concepts and Applications

Joint Probability Concepts and Applications

Assessment

Interactive Video

Mathematics

11th - 12th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial introduces joint and marginal probability distributions, focusing on joint probability mass functions for discrete variables and joint probability density functions for continuous variables. It provides examples, including an auto assembly task and calcium and cholesterol levels, to illustrate these concepts. The tutorial explains how to calculate probabilities using these functions and highlights the importance of ensuring that the sum or integral of probabilities equals one.

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13 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability that the bus is delayed and there is snow overnight?

5/60

20/60

10/60

15/60

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability that the bus is not delayed and there is no snow overnight?

12/60

48/60

24/60

36/60

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the joint probability mass function represent?

The probability of a single random variable

The probability of two or more random variables

The probability of continuous variables

The probability of a single event

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What must the sum of all probabilities in a joint probability mass function equal?

3

2

1

0

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the auto assembly task example, what does 'x' represent?

Number of robots

Number of improperly tightened bolts

Number of tasks

Number of defective welds

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the auto assembly task example, what does 'y' represent?

Number of defective welds

Number of tasks

Number of improperly tightened bolts

Number of robots

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability that x equals 3 and y equals 1 in the auto assembly task?

0.02

0.0002

0.002

0.2

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