Prob & Stats Chap 5.1 HW
According to a certain country's department of education, 41.6% of 3-year-olds are enrolled in day care. What is the probability that a randomly selected 3-year-old is enrolled in day care?
.416
Explain the Law of Large Numbers. How does this law apply to gambling casinos?
As the number of repetitions of a probability experiment increases, the proportion with which a certain outcome is observed gets closer to the probability of the outcome. This applies to casinos because they are able to make a profit in the long run because they have a small statistical advantage in each game.
Bob is asked to construct a probability model for rolling a pair of fair dice. He lists the outcomes as 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12. Because there are 11 outcomes, he reasoned, the probability of rolling a nine must be 1/11. What is wrong with Bob's reasoning?
The experiment does not have equally likely outcomes.
Is the following a probability model? What do we call the outcome "red"? Is the table about an example of a probability model? Color Probability red 0 green 0.35 blue 0.1 brown 0.2 yellow 0.1 orange 0.25 What do we call the outcome "red"?
Yes, because the probabilities sum to 1 and they are all greater than or equal to 0 and less than or equal to 1. Impossible event
Determine whether the probabilities below are computed using the classical method, empirical method, or subjective method. Complete parts (a) through (d) below. (a) The probability of having eight girls in an eight-child family is 0.00390625. (b) On the basis of a survey of 1000 families with eight children, the probability of a family having eight girls is 0.0064. (c) According to a sports analyst, the probability that a football team will win the next game is 0.36. (d) On the basis of clinical trials, the probability of efficacy of a new drug is 0.81.
(a) Classical method (b) Empirical method (c) Subjective method (d) Empirical method
In a probability model, the sum of the probabilities of all outcomes must equal
1
Brad and Allison have three girls. Brad tells Allison that he would like one more child because they are due to have a boy. What do you think of Brad's logic?
Brad is incorrect due to the nonexistent Law of Averages. The fact that Brad and Allison had three girls in a row does not matter. The likelihood the next child will be a boy is about 0.5.
A national survey asked people, "How often do you eat out for dinner, instead of at home?" The frequencies were as follows. Response Frequency Never 307 Rarely 600 Sometimes 945 Most of the time 268 Always 65
Never: .141 Rarely: .275 Sometimes: .433 Most of the time: .123 Always: .030
Let the sample space be S={1, 2, 3, 4, 5, 6, 7, 8, 9, 10}. Suppose the outcomes are equally likely. Compute the probability of the event E={3, 5, 9}.
P(E)= .3 use this formula to solve: P(E)=N(E)/N(S)**N(E)-number of outcomes in E**N(S)- number of outcomes in S
Let the sample space be S={1, 2, 3, 4, 5, 6, 7, 8, 9, 10}. Suppose the outcomes are equally likely. Compute the probability of the event E="an odd number less than 8."
PE= .04
Describe the difference between classical and empirical probability.
The empirical method obtains an approximate empirical probability of an event by conducting a probability experiment. The classical method of computing probabilities does not require that a probability experiment actually be performed. Rather, it relies on counting techniques, and requires equally likely outcomes.
Which of the following numbers could be the probability of an event? 1, -0.45, 1.5, 0.04, 0.22, 0
The numbers that could be a probability of an event are 0, 0.04, 0.22, 1
In a certain card game, the probability that a player is dealt a particular hand is 0.41. Explain what this probability means. If you play this card game 100 times, will you be dealt this hand exactly 41 times? Why or why not?
The probability 0.41 means that approximately 41 out of every 100 dealt hands will be that particular hand. No, you will not be dealt this hand exactly 41 times since the probability refers to what is expected in the long-term, not short-term.
Why is the following not a probability model? Color Probability Red 0.2 Green -0.3 Blue 0.1 Brown 0.3 Yellow 0.3 Orange 0.4 Determine why it is not a probability model. Choose the correct answer below.
This is not a probability model because at least one probability is less than 0.
What is the probability of an event that is impossible? Suppose that a probability is approximated to be zero based on empirical results. Does this mean that the event is impossible?
What is the probability of an event that is impossible? 0 Suppose that a probability is approximated to be zero based on empirical results. Does this mean that the event is impossible? NO
In a recent survey, it was found that the median income of families in country A was $57,800. What is the probability that a randomly selected family has an income greater than $57,800?
What is the probability that a randomly selected family has an income greater than $57,800? 0.5
The Wall Street Journal regularly publishes an article entitled "The Count." In one article, The Count looked at 1000 randomly selected home runs in Major League Baseball. Complete parts (a) through (d) below. (a) Of the 1000 home runs, it was found that 90 were caught by fans. What is the probability that a randomly selected home run is caught by a fan? (b) Of the 1000 home runs, it was found that 257 were dropped when a fan had a legitimate play on the ball. What is the probability that a randomly selected home run is dropped? (c) Of the 90 caught balls, it was determined that 39 were barehanded catches, 44 were caught with a glove, and 7 were caught in a hat. What is the probability a randomly selected caught ball was caught in a hat? Interpret this probability. (d) Of the 257 dropped balls, it was determined that 206 were barehanded attempts, 41 were dropped with a glove, and 10 were dropped with a failed hat attempt. What is the probability a randomly selected dropped ball was a failed hat attempt? Interpret this probability.
(a) .09 =90/1000 (b) .257 =257/1000 (c) The probability is approximately .078. So, for every 1000 home runs caught by fans, we expected about 78 to have been caught in a hat. 7/90=.078 .78x100=78 (d) The probability is approximately .039. So, for every 1000 home runs dropped when a fan had a play o the ball, we expected about 39 to have been a failed hat attempt.
A survey of 100 randomly selected high school students determined that 33 play organized sports. (a) What is the probability that a randomly selected high school student plays organized sports? (b) Interpret this probability. (b) Choose the correct answer below.
(a) The probability that a randomly selected high school student plays organized sports is .33 33/100=.33 (b) If 1,000 high school students were sampled, it would be expected that about 330 of them play organized sports. .33x1000=330
A bag of 100 tulip bulbs purchased from a nursery contains 20 red tulip bulbs, 30 yellow tulip bulbs, and 50 purple tulip bulbs. (a) What is the probability that a randomly selected tulip bulb is red? (b) What is the probability that a randomly selected tulip bulb is purple? (c) Interpret these two probabilities
(a) The probability that a randomly selected tulip is red is .2 =20/100 (b) The probability that a randomly selected tulip bulb is purple is .5 =50/100 (c) If 100 tulip bulbs were sampled with replacement, one would expect about 20 of the bulbs to be red and about 50 of the bulbs to be purple.