Stats: Modeling the World Nasta Edition Grades 9-12
Stats: Modeling the World Nasta Edition Grades 9-12
3rd Edition
ISBN: 9780131359581
Author: David E. Bock, Paul F. Velleman, Richard D. De Veaux
Publisher: PEARSON
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Chapter 14, Problem 33E

a)

To determine

To explain the difference between disjoint and independent.

a)

Expert Solution
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Explanation of Solution

Given:

If you draw one M&M, are the events of getting a red one and getting an orange one disjoint, inendependent or neither.

First, we need to understand about disjoint and independent events.

Disjoint events: The events that cannot occur at the same time.

Independent events: Occurrence of one event does not affect to the probability of the occurrence of another event.

For one draw, the probability of getting a red M&M and getting an orange M&M are disjoint events. Your single draw cannot both be red and orange.

b)

To determine

To explain the difference between disjoint and independent.

b)

Expert Solution
Check Mark

Explanation of Solution

Given:

If you draw two M&M's one after the other, are the events of getting a red on the first and a red on the second disjoint, independent, or neither?

First, we need to understand about disjoint and independent events.

Disjoint events: The events that cannot occur at the same time.

Independent events: Occurrence of one event does not affect to the probability of the occurrence of another event.

For two draws, the events of getting a red M&M on the first draw and a red M&M on the second draw are independent. Drawing a red on the first does not influence the probability of drawing a red on the second.

c)

To determine

To explain the difference between disjoint and independent.

c)

Expert Solution
Check Mark

Explanation of Solution

Given:

Can disjoint events ever be independent?

First, we need to understand about disjoint and independent events.

Disjoint events: The events that cannot occur at the same time.

Independent events: Occurrence of one event does not affect to the probability of the occurrence of another event.

Disjoint events can never be independent. Once you know that one of a pair of disjoint events has occurred, the other one cannot occur, so its probability has become zero.

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