Question

Records over the past year show that 1 out of 350 loans made by Mammon Bank...

Records over the past year show that 1 out of 350 loans made by Mammon Bank have defaulted. Find the probability that 2 or more out of 290 loans will default. Hint: Is it appropriate to use the Poisson approximation to the binomial distribution? (Round λ to 1 decimal place. Use 4 decimal places for your answer.)

Homework Answers

Answer #1

Solution:

Let x be the number of loans made by Mammon Bank that have defaulted. Therefore, the random variable x follows the Poisson distribution with:

We have to find:

We know that:

  

  

Therefore, the probability that 2 or more out of 290 loans will default is 0.1912

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Records over the past year show that 1 out of 380 loans made by Mammon Bank...
Records over the past year show that 1 out of 380 loans made by Mammon Bank have defaulted. Find the probability that 4 or more out of 345 loans will default. Hint: Is it appropriate to use the Poisson approximation to the binomial distribution? (Round λ to 1 decimal place. Use 4 decimal places for your answer.)
1-If the records show that the probability of failing (with grade F) this course is p,...
1-If the records show that the probability of failing (with grade F) this course is p, [ use the answer of question 22 above as the probability, p, here], what is the probability that at most 2 students out of 16 fail this course? {Hint: use binomial distribution} (P=0.0625) 2-If the records show that the probability for a student to get a grade B this course is p, [ use the answer of question 19 above as the probability, p,...
Based on past experience, a bank believes that 8 % of the people who receive loans...
Based on past experience, a bank believes that 8 % of the people who receive loans will not make payments on time. The bank has recently approved 200 loans. A. What must be true to be able to approximate the sampling distribution with a normal model? (Hint: think Central Limit Theorem) Assumptions:   B. What are the mean and standard deviation of this model? mean = standard deviation (accurate to 3 decimal places) = C. What is the probability that over...
1. The sales records of a real estate agency show the following dailysales over the past...
1. The sales records of a real estate agency show the following dailysales over the past 200 days. Convert this frequency table into an empirical probability distribution, then answer the question: What is the maximum usual number of houses sold in one day? Round your answer to two decimal places. Houses sold : 0,1,2,3,4 Number of days: 50,87,43,15,5 2. Find the standard deviation of the probability distribution for the random variable x, which represents the number of cars per household...
Based on past experience, a bank believes that 8 % of the people who receive loans...
Based on past experience, a bank believes that 8 % of the people who receive loans will not make payments on time. The bank has recently approved 200 loans. What must be true in order to approximate the sampling distribution with a normal model? What are the mean and standard deviation of this model? mean = standard deviation (accurate to 3 decimal places) = What is the probability that over 10% of these clients will not make timely payments?
Based on past experience, a bank believes that 9.3 % of the people who receive loans...
Based on past experience, a bank believes that 9.3 % of the people who receive loans will not make payments on time. The bank has recently approved 240 loans. What must be true to be able to approximate the sampling distribution with a normal model? Before proceeding, think about whether the conditions have been met. What are the mean and standard deviation of the sampling distribution of the proportion of people who will not make payments on time in samples...
Based on past experience, a bank believes that 9 % of the people who receive loans...
Based on past experience, a bank believes that 9 % of the people who receive loans will not make payments on time. The bank has recently approved 200 loans. What assumptions must be true to be able to approximate the sampling distribution with a normal model? Assumptions: Incorrect What are the mean and standard deviation of this model? mean = Correct standard deviation (accurate to 3 decimal places) = Incorrect What is the probability that over 10% of these clients...
Past records indicate that the probability of online retail orders that turn out to be fraudulent...
Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.07. Suppose​ that, on a given​ day, 18 online retail orders are placed. Assume that the number of online retail orders that turn out to be fraudulent is distributed as a binomial random variable. Complete parts​ (a) through​ (d) below. a. What are the mean and standard deviation of the number of online retail orders that turn out to be​ fraudulent? The mean...
Past records indicate that the probability of online retail orders that turn out to be fraudulent...
Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.05. Suppose​ that, on a given​ day, 18 online retail orders are placed. Assume that the number of online retail orders that turn out to be fraudulent is distributed as a binomial random variable. Complete parts​ (a) through​ (d) below. a. What are the mean and standard deviation of the number of online retail orders that turn out to be​ fraudulent? The mean...
Q2)   Consider a Poisson probability distribution with λ=4.9. Determine the following probabilities. ​a) exactly 5 occurrences...
Q2)   Consider a Poisson probability distribution with λ=4.9. Determine the following probabilities. ​a) exactly 5 occurrences ​b) more than 6 occurrences ​c) 3 or fewer occurrences Q3) Consider a Poisson probability distribution. Determine the probability of exactly six occurrences for the following conditions. ​a) λ=2.0        ​b) λ=3.0        ​c) λ=4.0 ​d) What conclusions can be made about how these probabilities change with λ​? Q4) A particular intersection in a small town is equipped with a surveillance camera. The number of traffic...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT