Let S be a sample space and E and F be events associated with S . Suppose that Pr ( E ) = 1 2 , Pr ( F ) = 1 3 , and Pr ( E ∪ F ) = 7 12 . Calculate a. Pr ( E ∩ F ) b. Pr ( E | F ) c. Pr ( F | E ) .
Let S be a sample space and E and F be events associated with S . Suppose that Pr ( E ) = 1 2 , Pr ( F ) = 1 3 , and Pr ( E ∪ F ) = 7 12 . Calculate a. Pr ( E ∩ F ) b. Pr ( E | F ) c. Pr ( F | E ) .
Let S be a sample space and E and F be events associated with S. Suppose that
Pr
(
E
)
=
1
2
,
Pr
(
F
)
=
1
3
,
and
Pr
(
E
∪
F
)
=
7
12
. Calculate
a.
Pr
(
E
∩
F
)
b.
Pr
(
E
|
F
)
c.
Pr
(
F
|
E
)
.
Definition Definition For any random event or experiment, the set that is formed with all the possible outcomes is called a sample space. When any random event takes place that has multiple outcomes, the possible outcomes are grouped together in a set. The sample space can be anything, from a set of vectors to real numbers.
3. Consider the following theorem:
Theorem: If n is an odd integer, then n³ is an odd integer.
Note: There is an implicit universal quantifier for this theorem. Technically we could write:
For all integers n, if n is an odd integer, then n³ is an odd integer.
(a) Explore the statement by constructing at least three examples that satisfy the hypothesis,
one of which uses a negative value. Verify the conclusion is true for each example. You
do not need to write your examples formally, but your work should be easy to follow.
(b) Pick one of your examples from part (a) and complete the following sentence frame:
One example that verifies the theorem is when n =
We see the hypothesis is
true because
and the conclusion is true because
(c) Use the definition of odd to construct a know-show table that outlines the proof of the
theorem. You do not need to write a proof at this time.
matrix 4
Please ensure that all parts of the question are answered thoroughly and clearly. Include a diagram to help explain answers. Make sure the explanation is easy to follow. Would appreciate work done written on paper. Thank you.
Chapter 6 Solutions
Finite Mathematics & Its Applications (12th Edition)
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Probability & Statistics (28 of 62) Basic Definitions and Symbols Summarized; Author: Michel van Biezen;https://www.youtube.com/watch?v=21V9WBJLAL8;License: Standard YouTube License, CC-BY
Introduction to Probability, Basic Overview - Sample Space, & Tree Diagrams; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=SkidyDQuupA;License: Standard YouTube License, CC-BY