1. A lightbulb factory produces 567 lightbulbs every hour. Approximately 1.96% of the lightbulbs are defective, and do not work. What is the expected number of defective bulbs produced in an hour? The answer does not need to be an integer.
2. A lightbulb factory produces 956 lightbulbs every hour. Approximately 2.91% of the lightbulbs are defective, and do not work. What is the standard deviation of the number of defective bulbs produced in an hour?
3.A call center receives an average of 18 calls per hour. Assuming the number of calls received follows the Poisson distribution, determine the probability would receive exactly 11 calls.Make sure that your answer is between 0 and 1.
4. In 2017 there were 246233 total motor vehicle crashes in Freedonia. Assuming that number reflects the true average now and that it follows the Poisson distribution, what is the probability that at least one accident will occur somewhere in the state of Freedonia in the next minute? Hint: There 525,600 minutes in a year.
Make sure that your answer is between 0 and 1.
Thank you!
1. A lightbulb factory produces 567 lightbulbs every hour. Approximately 1.96% of the lightbulbs are defective,...
A lightbulb factory produces 1117 lightbulbs every hour. Approximately 2.95% of the lightbulbs are defective, and do not work. What is the expected number of defective bulbs produced in an hour? Round to four decimal places.
A lightbulb factory produces 1429 lightbulbs every hour. Approximately 1.65% of the lightbulbs are defective, and do not work. What is the standard deviation of the number of defective bulbs produced in an hour? Round to four decimal places.
A light bulb factory produces 674 light bulbs every hour. Approximately 2.08% of the light bulbs are defective, and do not work. Using the binomial distribution, what is the expected number of defective bulbs produced in an hour? For all questions where the answer is a probability, put your answer in percentage form (e.g. 72.4218 not 0.724218) and then round to four decimal places. You do not need to include a % sign.
Approximately 20% of the lightbulbs produced by a company are defective (and the rest are non-defective). Suppose 3 lightbulbs are selected randomly. Let Y be the random variable showing number of defective lightbulbs. a)Complete the following probability distribution given in the following table. (You can use binomial distribution formula) y p(y) 0 0.512 1 2 3 0.008 Find the mean and variance of the above probability distribution
A call center receives an average of 18 calls per hour. Assuming the number of calls received follows the Poisson distribution, determine the probability would receive exactly 11 calls. Make sure that your answer is between 0 and 1.
On average, 10 patients visit a doctor’s surgery every hour. What is the probability that in the next 15 minutes, more than 1 patient will visit the surgery? Assuming the number of patients visiting a doctor’s surgery follows a Poisson distribution. a. 0.713 b. 0.918 c. 0.082 d. 0.205
Question 46 Not yet answered At a factory that produces batteries, every 50th battery is taken from the production line in order to test its quality. This is an example of a Marked out of 1.00 P Flag question Select one: a. stratified random sample. b. systematic sample O c. simple random sample O d. convenience sample. e. voluntary response sample The delivery times for a courier company are uniformly distributed between 2 day and 4 days. What is the...
Question No: 3 (a) A factory produces 2.5% of defective items.If a sample of 200 items is taken at random from the production. What is the probability that there will be at least four collision in a week? (2 Marks) 50,where t (b) The failure distribution function F(t) of a building system is given F(t) = 1-e is in years. Determine the following: (i) The system will last more than 6 years (ii) hazard function h(t) (3 Marks) (C) A...