A foreman for an injection-molding firm admits that on 20% of his shifts, he forgets to shut off the injection machine on his line. This causes the machine to overheat, increasing the probability that a defective molding will be produced during the early morning run from 2% to 20%. The plant manager randomly selects a molding from the early morning run and discovers it is defective. What is the probability that the foreman forgot to shut off the machine the previous night? Probability =
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- Deer ticks can carry both Lyme disease and human granulocytic ehrlichiosis (HGE). In a study of ticks in the Midwest, it was found that 15 % carried Lyme disease, while 11 % carried HGE. In addition, of the ticks with either Lyme disease or HGE, 16 % carried both diseases. (a) What is the probability P[L H] that a tick carrries both Lyme disease (L) and HGE (H)? P[LH] = (b) What is the conditional probability that a tick carries HGE, given that it has Lyme disease? P[H|L] =An investigative bureau uses a laboratory method to match the lead in a bullet found at a crime scene with unexpended lead cartridges found in the possession of a suspect. The value of this evidence depends on the chance of a false positive-that is, the probability that the bureau finds a match, given that the lead at the crime scene and the lead in the possession of the suspect are actually from two different "melts," or sources. To estimate the false positive rate, the bureau collected 1,809 bullets that the agency was confident all came from different melts. Then, using its established criteria, the bureau examined every possible pair of bullets and found 606 matches. Use this information to compute the chance of a false positive. Is this probability small enough for you to have confidence in the agency's forensic evidence? Choose the correct answer below and fill in the answer box to complete your choice. (Round to four decimal places as needed.) O A. The chance of a false positive…To study the hormonal regulation of a metabolic line, albino rats are injected with a drug that inhibits the synthesis of proteins in the organism. In general, 8 out of 30 rats die from the drug before the experiment is over. If 10 animals are treated with the drug. What is the probability that 4 or fewer arrive alive at the end of the experiment? What is the probability that more than 8 will arrive alive at the end of the experiment? Note: Answer with at least 4 decimal places
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- Suppose that we have test for lung cancer, which correctly identifies those with the cancer 70 % of the time, and mistakenly identifies those without the cancer 5 % of the time. In the cohort of interest, the rate of this cancer is somewhat low: 0.9 %. Find the probability -- a number between 0 and 1 -- that someone diagnosed (testing positive) with this test actually has lung cancer.A blockchain-based business received consensus validation via two different systems A and B. The time between validations for each validation system in a typical day is known to be exponentially distributed with a mean of 3.2 seconds. Both systems operate independently. Given the above distribution, the probability that no validation will be received from system A in a 5-second period is (expressed your answer in 4 decimal places). Likewise, the probability that no validation will be received from both systems in a 5-second period is (expressed your answer in 4 decimal places). If X denotes the number of validations in a 5-second interval. Then, X is a Poisson random variable with the lambda is equal to (expressed your answer in 4 decimal places). Then, the probability that both systems receive two validations between 10 and 15 seconds after the site is (expressed in 4 decimal places). officially open for business isAn antique collecter has been following the price of a certain old camera and he found out that the camera's price changes each day and it can either rise or fall in value. The price changes per day are assumed to be independent events. After observing the price for 8 months, he found out that the price rose for 40% of the days and it sunk for the rest. He wants to determine the probability that the camera will be a certain value on a particular day so he asked you for help. 1) What distribution does this problem follow? (Geometric, Binomial, Poission?) 2) Determine the probability that 7 days from now, the cost of the camera will be the same as it is today.3) Determine the probability that the camera's cost has increased from its current value after 5 days.