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Probability Concepts and Applications

Probability Concepts and Applications

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Practice Problem

Hard

Created by

Thomas White

FREE Resource

This video tutorial covers key concepts in probability, including the law of large numbers, short-term vs long-term probability, randomness, and the fallacy of predictions based on past outcomes. It also explains basic probability rules, sample space, complements, and the difference between mutually exclusive and independent events, using examples to illustrate these concepts.

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11 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the range of probability for any event?

0 to 10

0 to 1

0 to 100

-1 to 1

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

According to the law of large numbers, what happens to the probability of an event as the number of trials increases?

It remains constant

It becomes exactly 0.5

It approaches the theoretical probability

It becomes more unpredictable

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a probability of 1 indicate about an event?

The event is unlikely

The event is certain to happen

The event is impossible

The event is equally likely to happen or not

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a roulette game, if the ball lands on black three times in a row, what can be said about the next spin?

The outcomes are independent

It is more likely to land on black

The next spin will definitely be green

It is more likely to land on red

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability of rolling a three with two dice?

1/12

1/6

1/18

1/36

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does it mean if two events are mutually exclusive?

They have the same probability

They are dependent on each other

They cannot occur at the same time

They can occur at the same time

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the complement of an event defined?

The event itself

All outcomes that are not the event

The probability of the event

The sum of all probabilities

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