ween cigar smoking and the death from Cancer. NOTE :  Current cigar smoker " means  cigar smoker at time of death a) What is the probability that a randomly selected individual from the study was a former cigar smoker given that he died from cancer? b) Find the probability that a randomly selected individual did not die from cancer or never smoked cigars. c) Are the events "Never smoked cigars" and "Did not die from cancer" mutually exclusive

A survey showed that 83% of adults need correction (eyeglasses, contacts, surgery, etc.) for their eyesight. If 18 adults are randomly selected, find the probability that at least 17 of them need correction for their eyesight. Is 17 a significantly high number of adults requiring eyesight correction? ... The probability that at least 17 of the 18 adults require eyesight correction is (Round to three decimal places as needed.)

In an article that appears on a website,† Carlton Gunn, a public defender in Seattle, Washington, wrote about how he uses statistics in his work as an attorney. He states the following. I personally have used statistics in trying to challenge the reliability of drug testing results. Suppose the chance of a mistake in the taking and processing of a urine sample for a drug test is just 1 in 100. And your client has a "dirty" (i.e., positive) test result. Only a 1 in 100 chance that it could be wrong? Not necessarily. If the vast majority of all tests given—say 99 in 100—are truly clean, then you get one false dirty and one true dirty in every 100 tests, so that half of the dirty tests are false. Define the following events as given below. TD = event that the test result is dirty TC = event that the test result is clean D = event that the person tested is actually dirty C = event that the person tested is actually clean (a) Using the information in the quote, compute the following…

A study showed that in​ 1990, 47​% of all those involved in a fatal car crash wore seat belts. Of those in a fatal crash who wore seat​ belts, 46​% were injured and 26​% were killed. For those not wearing seat​ belts, the comparable figures were 43​% and 51​%, respectively. Find the probability that a randomly selected person who was unharmed in a fatal crash was not wearing a seat belt.