Conditional Probability and Events

Conditional Probability and Events

Assessment

Interactive Video

Mathematics, Science, Other

9th - 12th Grade

Hard

Created by

Patricia Brown

FREE Resource

This video tutorial by Simply Learn covers the fundamental concepts of conditional probability, starting with random experiments and sample space. It explains the multiplication rule for both independent and dependent events, providing examples for better understanding. The tutorial then delves into conditional probability, illustrating it with practical examples. The session concludes with a demonstration in Excel, reinforcing the concepts discussed.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a random experiment?

An experiment with a known set of possible outcomes but unpredictable results

An experiment that always yields the same result

An experiment with an unknown set of outcomes

An experiment with a predictable outcome

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the sample space when a die is rolled?

1, 2, 3, 4

1, 2, 3, 4, 5, 6, 7

1, 2, 3, 4, 5

1, 2, 3, 4, 5, 6

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you calculate the probability of two independent events occurring together?

Add the probabilities of each event

Multiply the probabilities of each event

Divide the probability of one event by the other

Subtract the probability of one event from the other

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability of getting two heads when a coin is tossed twice?

0.5

0.25

0.75

1.0

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What changes when two events are dependent?

The sample space

The probability of the second event

The outcome of the first event

The total number of outcomes

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability of drawing a second card from a deck if the first card is not replaced?

1/49

1/50

1/51

1/52

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is conditional probability denoted?

P(A and B)

P(A or B)

P(B|A)

P(A|B)

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