To find: The binomial probability model among the given options.
The number of persons with blue eyes in a random sample of 20 persons has a binomial probability model.
Given:
The options are shown below
a. The number of aces in a 5-card hand.
b. The number of persons with blue eyes in a random sample of 20 persons.
c. The total number of spots when two dice are rolled.
d. The number of times you roll a die in order to get a 6.
3. The length of the longest run of heads in 100 tosses of a fair coin.
Concept used:
A probability distribution where each trial has two possible outcomes known as a success and failure, with a fixed number of trials, each trial should be independent and also the probability of each trial is the same, then to calculate the probability of a certain number of successes occurring, a binomial probability distribution is used.
Interpretation:
The number of aces in a 5-card hand may not have the same probability of getting an ace in all cards dealt, thus it is not a binomial probability model.
The total number of spots when two dice are rolled, here the total possible outcomes are more than two, so it cannot be a binomial probability model.
The number of times you roll a die in order to get a 6, the number of trials is not fixed as it can take any number of rolls until a 6 has occurred. So it is not a binomial probability model.
The length of the longest run of heads in 100 tosses of a fair coin, here only the probability of a certain number of successes which occur together has to be calculated, so it is not a binomial probability model.
The number of persons with blue eyes in a random sample of 20 persons, here there are two possible outcomes with a fixed number of persons and the probability that a person with blue eyes is constant for all people. Thus it is a binomial probability model.
Conclusion:
The number of persons with blue eyes in a random sample of 20 persons has a binomial probability model. Option B is correct.
Chapter 10 Solutions
PRECALCULUS:GRAPHICAL,...-NASTA ED.
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- 1. Determine whether the following sets are subspaces of $\mathbb{R}^3$ under the operations of addition and scalar multiplication defined on $\mathbb{R}^3$. Justify your answers.(a) $W_1=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: a_1=3 a_2\right.$ and $\left.a_3=\mid a_2\right\}$(b) $W_2=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: a_1=a_3+2\right\}$(c) $W_3=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: 2 a_1-7 a_2+a_3=0\right\}$(d) $W_4=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: a_1-4 a_2-a_3=0\right\}$(e) $W_s=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: a_1+2 a_2-3 a_3=1\right\}$(f) $W_6=\left\{\left(a_1, a_2, a_3\right) \in \mathbb{R}^3: 5 a_1^2-3 a_2^2+6 a_3^2=0\right\}$arrow_forward3 Evaluate the double integral 10 y√x dy dx. First sketch the area of the integral involved, then carry out the integral in both ways, first over x and next over y, and vice versa.arrow_forwardQuestion 2. i. Suppose that the random variable X takes two possible values 1 and -1, and P(X = 1) = P(X-1)=1/2. Let Y=-X. Are X and Y the same random variable? Do X and Y have the same distribution? Explain your answer. ii. Suppose that the random variable X~N(0, 1), let Y=-X. Are X and Y the same random variable? Do X and Y have the same distribution? Explain your answer.arrow_forward
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