Complementary Events and Probability Concepts

Complementary Events and Probability Concepts

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial by Hammond Akuma explains the concept of the complement of an event in probability, denoted as E prime. It covers the universal set and sample space, emphasizing that the probability of an event and its complement sum to one. The tutorial includes examples, such as calculating the probability of months starting with A or J and finding the complement of vowels in the alphabet. The video concludes with a reminder to subscribe and engage with the content.

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20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the complement of an event typically denoted as?

E inverse

E double prime

E prime

E complement

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the complement of an event represent?

The event happening half the time

The event not happening

The event happening

The event happening twice

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In probability, what is the universal set also known as?

Probability space

Outcome space

Event space

Sample space

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the complement of an event in a sample space?

The event itself

The entire sample space

The part of the sample space including the event

The part of the sample space not including the event

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the sum of the probabilities of an event and its complement?

2

0.5

1

0

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you find the probability of the complement of an event?

By dividing the probability of the event by 2

By adding the probability of the event to 1

By subtracting the probability of the event from 1

By multiplying the probability of the event by 2

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If the probability of an event is 0.4, what is the probability of its complement?

0.2

0.4

0.6

1.0

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