Consider the following scenario: The significance level is 5% Of all tested hypotheses, 40% are true The statistical power is 40% What is the probability of the finding being true, given that the estimate is statistically significant? (State your answer as percentage without the percent symbol. For example, if you think the correct answer is 10

Consider the following scenario: The significance level is 5% Of all tested hypotheses, 40% are true The statistical power is 40% What is the probability of the finding being true, given that the estimate is statistically significant? (State your answer as percentage without the percent symbol. For example, if you think the correct answer is 10

Microeconomic Theory

12th Edition

ISBN:9781337517942

Author:NICHOLSON

Publisher:NICHOLSON

Chapter19: Externalities And Public Goods

Section: Chapter Questions

Problem 19.12P

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Scenario 38-5. Researchers are interested in the height of the average person in San Francisco, California. Using a random sample of 1,000 people, they find that the average height in the sample is 68 inches. (Hint: Be sure to calculate the Refer to Scenario 38-5. If the standard deviation of heights is 3 inches, we can be 95% confident that the true mean height of the population is between standard error of the estimate.) O O O O between 67.997 inches and 68.003 inches. between 67.905 inches and 68.095 inches. between 67.905 inches and 68 inches. between 68 inches and 68.095 inches.
Suppose that researchers conduct a clinical trial to test the effectiveness of a new vaccine to prevent HPV-related cervical cancer. They compare HPV-related cancer rates in women who were vaccinated during adolescence to women who were not. The incidence of cancer in vaccinated women is statistically significant at the 1% level. (P=0.006). What is the probability of a Type I error for this hypothesis test? a) 0.006 O b) it is impossible to tell from the information given O c) 0.01 Page 24 of 25 Previous Page Next Page
Wouldn't it be correct to say E=12, not 2E=12 for 12–(2/3)E=(1/3)E?
To solve: A manufacturer of high-tech computing equipment must decide whether or not to continue development of a new promising technology. continuing the development would cost $2 Million. If the development is continued, then a patent is either awarded or not. 70% chance that the patent will be awarded and The best estimate is that there is a a 30% chance that it will not. if the patent is awarded, the company needs to decide whether or not to license the technology. it does, it would receive a total of $25 million in licensing royalties. However, the company could also produce and sell the technology in-house (at. a cost of $10 million), in which case there is an additional uncertainty about the demand for the technology. if the demand is high (p = 0.25), the company would make $55 Million in revenues, if the demand is medium (p = 0.55) the company would make $33 Million and if the demand is Low (p = 0.20) the company would still make $15 Million. a) Draw and solve a decision tree…
What is sampling? Explain the differences between probability and nonprobability samples and identify the various typesof each
Sumo wrestlers have 15 matches per tournament and the benefits of winning 8 matches (a winning record) are very large, compared to the benefits of winning a 5 matches (compared to 4) or the benefit of winning 10 matches (compared to 9). Sumo wrestlers who have won 7 matches and lost 7 matches tend to win a statistically anomalous (they win too often) amount of the time in their last match of the tournament. In order to show that this is unlikely to be explained by 'wrestlers with 7-7 record try hard to win' researchers show that wrestlers who win an 8th match in these circumstances then tend to lose a statistically anomalous amount of the time when they next face that same opponent (they lose too frequently when those wrestlers next meet). This result is consistent with 'win trading'. The researchers find that wrestlers about to retire benefit less from the 'wrestlers at 7-7 tend to win' effect. Pick the answer which best explains the fact that wrestlers tend to win an 8th match more…
26. Expedia would like to test that the average number of Southwest Airlines flights which arrive on time (u) is 90. A random sample of 140 flights found that 119 arrived on time. Suppose a = 0.05. Then the critical value for the test %3D (Za/2) is a) 1.28 b) 1.96 c) 2.33 d) 2.58 O b O a Oc
Explain probability and nonprobability samplingtechniques.
2. A city had an unemployment rate of 7%. The mayor pledged to lower this figure and supported programs to decrease unemployment. A group of citizens wanted to test with 0.032 label of significance if the unemployment rate had actually decreased, so they obtained a random sample of 500 citizens to see what proportion of the sample was unemployed. Only 32 citizens in the above sample is still unemployed. What is the probability of Type II error if the actual unemployment rate is 6.5% please don't use software everything needs to be done by hand. Explain because I don't understand my professor. Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
Suppose a steroid test is 81% sensitive and 85% specific. That is, the test will produce 81% true positive results for steroid users and 85% true negative results for non-steroid users. Suppose that 2.8% of people are steroid users. If a randomly selected individual tests negative, what is the probability he or she is a steroid user? YOUR ANSWER SHOULD BE BETWEEN O AND 100 AND ROUNDED TO 4 DECIMAL PLACES. (e.g. 59.5321 would be 59.5321%)
please answer in text form and in proper format answer with must explanation , calculation for each part and steps clearly
The Customs Inspection agency at international airports has developed a traveler profiling system (TPS) to detect passengers who are trying to bring more liquor into the country than is allowed by present regulations. Long-term studies indicate that 20% of the passengers are carrying more liquor than is allowed. Tests on the new TPS scheme has shown that of those carrying illegal amounts of liquor, 80% will be identified and subject to complete luggage search. In addition 20% of those not carrying illegal amounts of liquor will also be identified by TPS and subject to a complete luggage search.If a passenger is identified by TPS, what is the probability that the passenger is carrying an illegal amount of liquor? Comment on the value of this system.