Samples of rejuvenated mitochondria are mutated (defective) in 36% of cases. Suppose that samples tested can be considered to be independent for mutation. What is the probability that more than three samples need to be tested to detect two that are mutated?
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- United Blood Services is a blood bank that serves more than 500 hospitals in 18 states. According to their website, a person with type O blood and a negative Rh factor (Rh-) can donate blood to any person with any blood type. Their data show that 43% of people have type O blood and 15% of people have Rh- factor; 52% of people have type O or Rh- factor.a. Find the probability that a person has both type O blood and the Rh- factor.b. Find the probability that a person does NOT have both type O blood and the Rh- factor.Suppose that on a comprehensive exam at the end of a master's degree program, each student must answer a total of 50 exam questions. Suppose that in the grading of each question there is an error which either awards 1 extra point or takes away 1 extra point, with equal likelihood. What is the expected net error?FASTPlaqueTB is a diagnostic test for the presence of tuberculosis bacilli. In a community, for thosesubjects known to have the tuberculosis bacilli, the FASTPlaqueTB test was positive 70% of the time. Forthose subjects known not to have the tuberculosis bacilli, the FASTPlaqueTB test was negative 99% of thetime. Statistics indicate that about 14.2% of the people in the community have the tuberculosis bacilli.Define all the events, draw a tree diagram, and answer the following two questions. (a). What is the probability that a randomly selected person from the community will have a positiveFASTPlaqueTB test result? (b). What is the probability that a person from the community who tests positive does not have tuberculosisbacilli?
- The effectiveness of a vaccine for a certain disease is about 45%. This means that 45% of thevaccinated person will not get the disease when exposed. Assume that each person’s response tothe disease is independent of another person’s response. 1) Find the probability that less than FIVE (5) persons will not get the disease if 12 people areexposed.2) Find the probability that more than SIX (6) persons will not get the disease if 10 people are exposed. 3) Suppose a new vaccine has been introduced for the disease. The experimental study shows thatthe probability of NONE out of 12 people exposed will not get the disease is 0.05. Find the probability of effectiveness of the new vaccineA sample of 500 large companies showed that 120 of them offer free psychiatric help to their employees who suffer from psychological problems. If one company is selected at random from this sample, what is the probability that this company offers free psychiatric help to its employees who suffer from psychological problems? What is the probability that this company does not offer free psychiatric help to its employees who suffer from psychological problems?Eye of Jade is a pretty popular tatoo parlor here in Chico, with on averge 1 walk-in customers a day. Assume that people randomly decide to get a tatoo that day and walk in to Eye of Jade independently of other patrons. What is the expected value and variance of of the number of walk-in customers that Eye of Jade can expect to see in a week.
- A sample of 20 people is selected randomly without replacement from a population of 78 sufferers of Parkinson's disease. We know there are 8 people whose symptoms related to language production have lessened after vocal and facial modeling therapy using a computerized feedback mechanism. What is the probability that, in this sample of 20, more than 2 benefitted from this therapy??A box contains resistors, where 8% of the resistors are deficient because their resistance values are not meeting specifications written on the box. Operators of the workshop are testing resistors before the resistors are soldered to an electrical circuit. The operators select deficient resistors with a probability of 0.98. However, the operator can incorrectly check a good resistor and assume that it is deficient with a probability of 0.02. If a resistor is selected as deficient after it was tested by an operator, what is the probability that the resistor is actually unusable for the electrical circuit? (Use Bayes' Formula)In a study of 320,354 cell phone users, it was found that 34 developed cancer of the brain or nervous system. Assuming that cell phones have no effect, there is a 0.000142 probability of a person developing cancer of the brain or nervous system. We therefore expect about 46 cases of such cancer in a group of 320,354 people. Estimate the probability of 34 or fewer cases of such cancer in a group of 320,354 people. What do these results suggest about media reports that cell phones cause cancer of the brain or nervous system? (a) P(xs 34)= H(Round to four decimal places as needed) (b) What does the result from part (a) suggest about the media reports? O A. The media reports appear to be correct because one would expect that less than 46 cell phone users would develop cancer and the study offers some evidence to support this O B. The media reports appear to be incorrect because one would expect that more than 46 cell phone users would develop cancer In fact, the study may offer some…
- A certain man and a certain woman both have a 50% chance of being a heterozygous carrier for a recessive allele. If they have 1 child, what is the chance the child will be homozygous recessive? Which rule of probability is used to solve this problem?A consumer organization inspecting new cars found that many had appearance defects (such as dents, scratches, or paint chips). While none of the new cars had more than three of these defects, 7% had exactly three, 11% had exactly two, and 21% had exactly one such defect. If we randomly select a new car and let X = the number of appearance defects on the selected car, then what are the expected value and standard deviation of X?Consider again the electronics manufacture from Question 1.Another employee, on a different day, decides to take her own simple random sample (not using cluster or stratified) and she selects n = 20 voltmeters from the population.What is the probability that she would select at least 1 digital voltmeter from her sample of 20? *I only am looking for Q2, I have already figured out Q1.