A mom walks into her child's room and finds clothes all over the floor. 20% of the clothes are clean. She randomly picks up 5 articles of clothing. 1. We can expect 1 v out of 5 v articles of clothing to be clean. 2. The standard deviation is 0.20 x. (Round to the nearest tenth, if necessary.) 3. Because the distribution has a probability of success (P(S)) that is small (closer to 0) + ♥ , the distribution is close to skewed right (positive) 4. Use the probability formula P(r) -, C,p'q"* to create a binomial n-r
A mom walks into her child's room and finds clothes all over the floor. 20% of the clothes are clean. She randomly picks up 5 articles of clothing. 1. We can expect 1 v out of 5 v articles of clothing to be clean. 2. The standard deviation is 0.20 x. (Round to the nearest tenth, if necessary.) 3. Because the distribution has a probability of success (P(S)) that is small (closer to 0) + ♥ , the distribution is close to skewed right (positive) 4. Use the probability formula P(r) -, C,p'q"* to create a binomial n-r
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:A mom walks into her child's room and finds clothes all over the floor. 20% of the
clothes are clean. She randomly picks up 5 articles of clothing.
1. We can expect 1
out of 5
articles of clothing to be
clean.
2. The standard deviation is 0.20
x . (Round to the nearest tenth, if
necessary.)
3. Because the distribution has a probability of success (P(S)) that is
small (closer to 0) + , the distribution is close to
skewed right (positive)
4. Use the probability formula P(r) =n Crp'q" to create a binomial
distribution table.
P(r)
Probability formula
Round to the tenth, if necessary.
Enter the probability only.
Round to the 4th decimal
place, if necessary.
v ( 0.2
1
1
x ( 1
x ) 5
v ( 0.2
1
( 2
x )
v ( 0.2
1
3
( 3
x )
5
v ( 0.2
1
4
X ( 4
x )
2
v ( 0.2
1
X ( 5
x )
1
v ( 0.2
6
( 6
* ) 0
2.
2.
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