This exercise assumes familiarity with counting arguments and probability (see Probability and Counting Techniques). Kent's Tents has eight green knapsacks and four yellow ones in stock. Curt selects four of them at random. Let X be the number of green knapsacks he selects. Give the probability distribution. (Enter your probabilities as fractions.) X 0 1 2 3 4 P(X = x) X X X X Find P(X ≤ 2). (Enter your probability as a fraction.) P(X ≤ 2) =

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.2: Probability
Problem 31E
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This exercise assumes familiarity with counting arguments and probability (see Probability and Counting Techniques).
Kent's Tents has eight green knapsacks and four yellow ones in stock. Curt selects four of them at random. Let X be the number of green knapsacks he selects. Give the probability distribution. (Enter your probabilities as fractions.)
x 0 1 2 3 4
P(X = x)          
 
Find
P(X ≤ 2).
(Enter your probability as a fraction.)
P(X≤ 2) =
 
PLEASE USE FRACTIONS! :)
This exercise assumes familiarity with counting arguments and probability (see Probability and Counting Techniques).
Kent's Tents has eight green knapsacks and four yellow ones in stock. Curt selects four of them at random. Let X be the number of
green knapsacks he selects. Give the probability distribution. (Enter your probabilities as fractions.)
X
0
1
2
3
4
P(X = x)
X
X
X
X
Find P(X ≤ 2). (Enter your probability as a fraction.)
P(X ≤ 2) =
Transcribed Image Text:This exercise assumes familiarity with counting arguments and probability (see Probability and Counting Techniques). Kent's Tents has eight green knapsacks and four yellow ones in stock. Curt selects four of them at random. Let X be the number of green knapsacks he selects. Give the probability distribution. (Enter your probabilities as fractions.) X 0 1 2 3 4 P(X = x) X X X X Find P(X ≤ 2). (Enter your probability as a fraction.) P(X ≤ 2) =
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