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- 1. Multiple Choice
Barry Bonds has a career batting average of .298. What is the probability that he will get 6 hits in his next 10 at-bats?
3.58%
5.46%
22.67%
100%
- 2. Multiple Choice
If you were to flip a coin 20 times, what is the probability you would get exactly 10 heads?
50%
17.62%
58.81%
41.19%
- 3. Multiple Choice4. When rolling two dice, the probability of rolling doubles is ⅙. Suppose that a game player rolls the dice four times, hoping to roll doubles. Find the probability that the player gets doubles twice in 4 attempts.88.4%11.6%98.4%1.6%
- 4. Multiple ChoiceWhich of the following is NOT an assumption of the Binomial distribution?All trials must be independent.Each trial must be classified as a success or a failure.All trials are dependent on each other.The number of successes in the trials is counted.
- 5. Multiple Choice
When rolling a fair die 100 times, what is the probability of rolling a "4" exactly 25 times?
1.0%
16.7%
25%
2.1%
- 6. Multiple ChoiceIf you were to flip a coin 20 times, what is the probability you would get at least 13 heads?94.23%13.16%5.77%7.39%
- 7. Multiple Choice
An algebra 2 test has 6 multiple choice questions with four choices with one correct answer each. If we just randomly guess on each of the 6 questions, what is the probability that you get exactly 3 questions correct? (You need to figure out the p value first. It is not given to you.)
96.2%
13.2%
8.31%
25.0
- 8. Multiple Choice
A quarterback has a passing percentage of 70%. What is the probability that he does NOT complete 8 of his 20 passes?
11.44%
12.45%
54%
12.34%
- 9. Multiple ChoiceA coin is tossed ten times. What is the probability that there are exactly 6 heads?20.51%90%45.68%34.65%
- 10. Multiple Choice
Let n = 20, q = .6, Find the probability of 12 successes.
3.55%
35.55%
24%
12.90%
- 11. Multiple Choice
What does the n stand for in the binomial probability formula?
Number of trials
Number of Successes
Probability of Successes
Probability of Failures
- 12. Multiple Choice
What does the x stand for in the binomial probability formula?
Number of trials
Number of Successes
Probability of Successes
Probability of Failures
- 13. Multiple Choice
What does the p stand for in the binomial probability formula?
Number of trials
Number of Successes
Probability of Successes
Probability of Failures
- 14. Multiple Choice
What does the q stand for in the binomial probability formula?
Number of trials
Number of Successes
Probability of Successes
Probability of Failures
- 15. Multiple Choice
Is this binomial experiment? Shuffle a deck of 52 cards. Turn over the top card. Do not replace the card. Repeat the process 5 times. Let x = the card you observe.
Yes
No, the trials are not independent.
No, there are more than 2 outcomes.
- 16. Multiple Choice
Is this binomial experiment? Shuffle a deck of 52 cards. Turn over the top card. Put the card back in the deck, shuffle again. Repeat the process 50 times. Let x = the number of aces you observe.
Yes
No, the trials are not independent.
No, there are more than 2 outcomes.
- 17. Multiple Choice
A survey found that 25% of pet owners had their pets bathed professionally rather than do it themselves. If 18 pet owners are randomly selected, find the probability that exactly 5 people have their pets bathed professionally.
3.42
1.03
0.072
0.199
- 18. Multiple ChoiceAn algebra 2 test has 5 multiple choice questions with four choices with one correct answer each. If we just randomly guess on each of the 5 questions, what is the probability that you get at least 1 question correct?0.23730.39550.76270.6045
- 19. Multiple Choice
Which descriptions are true for a binomial distribution? Select all that apply.
The probability of success must be the same for each event.
The probability for each event must be 0.5.
There can be only two possible outcomes - success and failure.
The probabilities must add to 1.
Each trial must be independent.
- 20. Multiple Choice
Which of the following could be examples of binomial probabilities? (Select all that apply.)
P(success) = 0.99, P(failure) = 0.01
P(A) = 0.4, P(B) = 0.4
P(A )= 1/3, P(B) = 1/3, P(C) = 1/3
P(3) = 1/6, P(not 3) = 5/6
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