Question 7.10AnsweredAssessing whether there is a plausible causalmechanism that could explain a correlation...Ais not necessary when we find acorrelation in a population that had a <.05 probability of happening bychance, since we can reject the "merechance" hypothesis regardless of howimplausible the causal mechanism is.BDis important because unless we find acorrelation in a population that had a <.05 probability of happening bychance, we can reject the "merechance" hypothesis if the causalmechanism is sufficiently implausible.is important because even when wefind a correlation in a population thathad a < .05 probability of happeningby chance, whether we should rejectthe "mere chance" hypothesis candepend on the plausibility of thecausal mechanism.Your answeris not necessary, but when themechanism is sufficiently plauwe should never reject the cauhypothesis regardless of whet.Done Assessing whether there is a plausible causal mechanism that could explain a correlation... A)() Question 7.10Answered Assessing whether there is a plausible causal mechanism that could explain a correlation... is not necessarywhen we find a correlation in a population that had a < .05 probability of happening by chance, since we can reject the"mere chance" hypothesis regardless of how implausible the causal mechanism is. is important because unless we find acorrelation in a population that had a < B.05 probability of happening by chance, we can reject the "mere chance"hypothesis if the causal mechanism is sufficiently implausible. is important because even when we find a correlation in apopulation that had a < .05 probability of happening by chance, whether we should reject the "mere chance" hypothesiscan depend on the plausibility of the causal mechanism. Your answer is not necessary, but when the mechanism issufficiently plau D we should never reject the cal Done hvioothesis reaardless of whet.Question 7.10AnsweredAssessing whether there is a plausible causalmechanism that could explain a correlation...Ais not necessary when we find acorrelation in a population that had a <.05 probability of happening bychance, since we can reject the "merechance" hypothesis regardless of howimplausible the causal mechanism is.Bis important because unless we find acorrelation in a population that had a <.05 probability of happening bychance, we can reject the "merechance" hypothesis if the causalmechanism is sufficiently implausible.☑

Correlation refers to a statistical relationship between two variables, meaning that changes in one…

Answered: Assessing whether there is a plausible…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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R4.1. Quality control A consumer organization estimates that 29% of new cars have a cosmetic defect, such as a scratch or a dent, when they are delivered to car dealers. This same organization believes that 7% have a functional defect- something that does not work properly-and that 2% of new cars have both kinds of problems. a) If you buy a new car, what's the probability that it has some kind of defect? b) What's the probability it has a cosmetic defect but no functional defect? c) If you notice a dent on a new car, what's the probability it has a functional defect? d) Are the two kinds of defects disjoint events? Explain. e) Do you think the two kinds of defects are independent events? Explain.
16. JTWO rescue crews set out to find a lost hiker in the Kern Canyon. Suppose the first crew has a 30% chance of finding the lost hiker before nightfall and the second crew has a 40% chance of finding the lost hiker before nightfall. If the two crews work independently, what is the probability that the lost hiker is found before nightfall?
Dr. Cy Clopps is ophthalmologist and owner of the Spex Appeal Eye Clinic. A review of 100 patient’s records indicated that 30 of these patients have vision insurance. Further, 35 of the 100 patients got bifocal glasses but had no insurance. Finally, 10 of the 100 patients had insurance but did not get bifocals. d. Of those with insurance, what proportion got bifocals? e.Are the events independent? Mutually exclusive? Collectively exhaustive?
3. Assuming there is a 50-50 chance of pressing the correct button, calculate the test statistic for this scenario. 4, This would be a right
1.Which probability distribution would you use to calculate the probability of success or failure of Advanced Researcher's vaccine if it were to be administered to people in society?
A psychology teacher teaches two statistics classes back-to-back, lecture L1 at 09:00 am and lecture CL1 at 10 am. Suppose the probability that the instructor gives a good L1 lecture is 0.25. If L1 lecture is good, then CL1 lecture is also good with probability 0.50. However, if L1 lecture is bad, then there is an 90% chance that CL1 lecture will also be bad. a) What proportion of the CL1 lectures are good? b) Suppose CL1 lecture was good. What is the probability that L1 lecture was also good? c) What is the probability that at least one lecture is good (i.e., either L1 lecture is good or CL1 lecture is good, or both)?
1. True or False a. p-values are used to determine statistical significance. b. If two events are positively correlated, then one of them must have caused the other. c. If two variables are negatively correlated, then one of them tends to decrease as the other increases.
1. The American Journal of Public Health (July 1995) published a study of the relationshipbetween passive smoking and nasal allergies in Japanese female students. The study revealedthat 80% of students from heavy-smoking families showed sign of nasal allergies on physicalexaminations. Consider a sample of 25 Japanese female students exposed daily to heavysmoking. d. What is the probability that more than 15 of the students will NOT have nasal allergies?e. What is the probability that more than 15 but fewer than 20 will have nasal allergies?
4. If a randomly chosen athlete tests negative, what’s the probability that the student took a banned substance? Explain why it makes sense for the drug-testing process to be designed so that this probability is less than the one you found in Question 3.5. The district decides to immediately retest any athlete who tests positive. Assume that the results of an athlete’s two tests are independent. Find the probability that a student who gets a positive result on both tests actually took a banned substance. Based on your answer, do you think that an athlete who tests positive twice should be suspended from athletic competition for a year? Why or why not?
5. An experiment consists of four outcomes with P(E1) = .2, P(E2) = .3, and P(E3) = .4. The probability of outcome E4 is .100 .500 .900 .024
1. Researchers are interested in the relationship between vaping and upper respiratory infections. Suppose that 15% of their population of interest has vaped in the past year and 25% have had an upper respiratory infection in the past year. In addition, they know that 10% have both vaped and had an upper respiratory infection in the past year. What percent of the population has neither vaped nor had an upper respiratory infection in the past year? b. What is the probability of having an upper respiratory infection in the past year given that the person has vaped in the past year? What is the complement of the event in part b)? Be sure to interpret this probability in the context of the problem. a. C. d. What is the probability of having an upper respiratory infection in the past year given that the person has not vaped in the past year? Are the two events independent? Be sure to justify your answer. Based on your calculations what can you conclude about the relationship between vaping…

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