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Statistics
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Elementary Statistics
Quiz 4: Discrete Probability Distributions
Path 4
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Question 41
Multiple Choice
Find the standard deviation of the binomial distribution for which n = 1000 and p = 0.94.
Question 42
Short Answer
Decide whether the experiment is a binomial experiment. If it is not, explain why. Testing a pain reliever using 740 people to determine if it is effective. The random variable represents the number of people who find the pain reliever to be effective.
Question 43
Short Answer
Decide whether the experiment is a binomial experiment. If it is not, explain why. You roll a die 100 times. The random variable represents the number that appears on each roll of the die.
Question 44
Short Answer
Decide whether the experiment is a binomial experiment. If it is not, explain why. Surveying 600 prisoners to see whether they are serving time for their first offense. The random variable represents the number of prisoners serving time for their first offense.
Question 45
Short Answer
Decide whether the experiment is a binomial experiment. If it is not, explain why. You test four pain relievers. The random variable represents the pain reliever that is most effective.
Question 46
Multiple Choice
Find the mean of the binomial distribution for which n = 40 and p = 0.2.
Question 47
Short Answer
Decide whether the experiment is a binomial experiment. If it is not, explain why. Surveying 250 prisoners to see how many crimes in which they were convicted. The random variable represents the number of crimes in which each prisoner was convicted.
Question 48
Short Answer
Decide whether the experiment is a binomial experiment. If it is not, explain why. You observe the gender of the next 250 babies born at a local hospital. The random variable represents the number of girls.
Question 49
Short Answer
From the probability distribution, find the mean and standard deviation for the random variable x, which represents the number of cars per household in a town of 1000 households.
x
P
(
x
)
0
0.125
1
0.428
2
0.256
3
0.108
4
0.083
\begin{array} { c | c } \mathrm { x } & \mathrm { P } ( \mathrm { x } ) \\\hline 0 & 0.125 \\1 & 0.428 \\2 & 0.256 \\3 & 0.108 \\4 & 0.083\end{array}
x
0
1
2
3
4
ā
P
(
x
)
0.125
0.428
0.256
0.108
0.083
ā
ā
Question 50
Short Answer
Decide whether the experiment is a binomial experiment. If it is not, explain why. Each week, a man plays a game in which he has a 39% chance of winning. The random variable is the number of times he wins in 51 weeks.
Question 51
Short Answer
Decide whether the experiment is a binomial experiment. If it is not, explain why. You spin a number wheel that has 19 numbers 450 times. The random variable represents the winning numbers on each spin of the wheel.