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MATH 225N STATISTICS FINAL

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MATH 225N STATISTICS FINALIdentify the parameter n in the following binomial distribution scenario. A weighted coin has a 0.441 probability of landing on heads and a 0.559 probability of landing on tails. If you toss the coin 19 times, we want to know the probability of getting heads more than 5 times. (Consider a toss of heads as success in the binomial distribution.) Perfect. Your hard work is paying off � 5 14 19 24 Answer Explanation Correct answer: 19 The parameters p and n represent the probability of success on any given trial and the total number of trials, respectively. In this case, the total number of trials, or tosses, is n=19. Give the numerical value of the parameter p in the following binomial distribution scenario. A softball pitcher has a 0.675 probability of throwing a strike for each pitch and a 0.325 probability of throwing a ball. If the softball pitcher throws 29 pitches, we want to know the probability that exactly 19 of them are strikes. Consider strikes as successes in the binomial distribution. Do not include p= in your answer. Great work! That's correct. 0 point 6 7 5$$0.6750 point 6 7 5 - correct MATH 225N STATISTICS FINAL Answer Explanation Correct answers:  0 point 6 7 5 $0.675$0.675 The parameters p and n represent the probability of success on any given trial and the total number of trials, respectively. In this case, success is a strike, so p=0.675. The probability of winning on an arcade game is 0.568. If you play the arcade game 22 times, what is the probability of winning more than 15 times? Round your answer to three decimal places. Answer 1: Keep trying - mistakes can help us grow. point 1 4$$.14point 1 4 - incorrect Answer 2: Keep trying - mistakes can help us grow. 0 point 1 4$$0.140 point 1 4 - incorrect Answer Explanation Correct answers:  0 point 0 9 6 $0.096$0.096 This probability can be found using the binomial distribution with success probability p=0.568 and 22 trials. To find the probability that more than 15 of the games are wins, use a calculator or computer: P(X15)=1−binomcdf(22,0.568,15)≈0.096. A weighted coin has a 0.55 probability of landing on heads. If you toss the coin 14 times, what is the probability of getting heads exactly 9 times? (Round your answer to 3 decimal places if necessary.) Answer 1: Not quite - review the answer explanation to help get the next one. 27$$2727 - incorrect Answer 2: Keep trying - mistakes can help us grow. point 1 4$$.14point 1 4 - incorrect Answer Explanation Correct answers:  0 point 1 7 0 $0.170$0.170 This probability can be found using the binomial distribution with success probability p=0.55 and 14 trials. To find the probability that exactly 9 of the tosses are heads, use a calculator or computer: P(X=9)=binompdf(14,0.55,9)≈0.170. Consider how the following scenario could be modeled with a binomial distribution, and answer the question that follows. 54.4% of tickets sold to a movie are sold with a popcorn coupon, and 45.6% are not. You want to calculate the probability of selling exactly 6 tickets with popcorn coupons out of 10 total tickets (or 6 successes in 10 trials). What value should you use for the parameter p? Well done! You got it right.

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MATH 225N STATISTICS FINAL




Identify the parameter n in the following binomial distribution scenario. A
weighted coin has a 0.441 probability of landing on heads and a 0.559
probability of landing on tails. If you toss the coin 19 times, we want to know
the probability of getting heads more than 5 times. (Consider a toss of heads
as success in the binomial distribution.)


Perfect. Your hard work is paying off �


5

14

19

24
Answer Explanation
Correct answer:
19
The parameters p and n represent the probability of success on any given
trial and the total number of trials, respectively. In this case, the total
number of trials, or tosses, is n=19.



Give the numerical value of the parameter p in the following binomial
distribution scenario.

A softball pitcher has a 0.675 probability of throwing a strike for each pitch
and a 0.325 probability of throwing a ball. If the softball pitcher throws 29
pitches, we want to know the probability that exactly 19 of them are strikes.

Consider strikes as successes in the binomial distribution. Do not include p=
in your answer.


Great work! That's correct.

0 point 6 7 5$$0.6750 point 6 7 5 - correct

, Answer Explanation
Correct answers:
 0 point 6 7 5 $0.675$0.675
The parameters p and n represent the probability of success on any given
trial and the total number of trials, respectively. In this case, success is a
strike, so p=0.675.



The probability of winning on an arcade game is 0.568. If you play the
arcade game 22 times, what is the probability of winning more than 15
times?

Round your answer to three decimal places.

Answer 1:


Keep trying - mistakes can help us grow.

point 1 4$$.14point 1 4 - incorrect
Answer 2:


Keep trying - mistakes can help us grow.

0 point 1 4$$0.140 point 1 4 - incorrect

Answer Explanation
Correct answers:
 0 point 0 9 6 $0.096$0.096


This probability can be found using the binomial distribution with success
probability p=0.568 and 22 trials. To find the probability that more than
15 of the games are wins, use a calculator or computer:
P(X>15)=1−binomcdf(22,0.568,15)≈0.096.

, A weighted coin has a 0.55 probability of landing on heads. If you toss the
coin 14 times, what is the probability of getting heads exactly 9 times?
(Round your answer to 3 decimal places if necessary.)
Answer 1:


Not quite - review the answer explanation to help get the next one.

27$$2727 - incorrect
Answer 2:


Keep trying - mistakes can help us grow.

point 1 4$$.14point 1 4 - incorrect

Answer Explanation
Correct answers:
 0 point 1 7 0 $0.170$0.170


This probability can be found using the binomial distribution with success
probability p=0.55 and 14 trials. To find the probability that exactly 9 of
the tosses are heads, use a calculator or computer:
P(X=9)=binompdf(14,0.55,9)≈0.170.

Consider how the following scenario could be modeled with a binomial
distribution, and answer the question that follows.

54.4% of tickets sold to a movie are sold with a popcorn coupon, and
45.6% are not. You want to calculate the probability of selling exactly 6
tickets with popcorn coupons out of 10 total tickets (or 6 successes in 10
trials).




What value should you use for the parameter p?

Well done! You got it right.

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