4. This question pertains to the article, “On the Optimality of Line Call Challenges inProfessional Tennis," by Abramitzky et al. (2012). Use the table below to answer (i)-(ii).(i) Explain why the difference in match win probabilities is significant.(ii) Explain why the number of challenges remaining in the set is significant.(iii) On what basis did the authors conclude that players challenge too few calls? 100 if Challenge Won, O if Lost(1)(2)Dependent Variable(3)ImportanceDifference in match win probabilitiesb-0.630*** -–0.531***-0.550**(0.163)(0.195)(0.240)Option valueChallenges remaining in the set-4.729*-4.819*-14.813***(2.997)(2.465)(2.434)Expected number of points left in setb0.177***0.141*0.075(0.125)(0.060)(0.079)Additional controlsMatch fixed-effects (479 unique matches)noyesyesnoyes1,973noNumber of observations2,0081,9730.024R-squared0.0130.032

4 i. The number of observations in model 1 are more compared with model 2 and model 3. And, the…

Answered: 4. This question pertains to the…

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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Anita's, a fast-food chain specializing in hot dogs and garlic fries, keeps track of the proportion of its customers who decide to eat in the restaurant (as opposed to ordering the food "to go") so it can make decisions regarding the possible construction of in-store play areas, the attendance of its mascot Sammy at the franchise locations, and so on. Anita's reports that 45% of its customers order their food to go. Suppose that this proportion is correct and that a random sample of 50 individual customers is taken. Answer the following. (If necessary, consult a list of formulas.) (a) Estimate the number of customers in the sample who order their food to go by giving the mean of the relevant distribution (that is, the expectation of the relevant random variable). Do not round your response. (b) Quantify the uncertainty of your estimate by giving the standard deviation of the distribution. Round your response to at least three decimal places.
Anita's, a fast-food chain specializing in hot dogs and garlic fries, keeps track of the proportion of its customers who decide to eat in the restaurant (as opposed to ordering the food "to go") so it can make decisions regarding the possible construction of in-store play areas, the attendance of its mascot Sammy at the franchise locations, and so on. Anita's reports that 45% of its customers order their food to go. Suppose that this proportion is correct and that a random sample of 50 individual customers is taken. Answer the following. (a) Estimate the number of customers in the sample who order their food to go by giving the mean of the relevant distribution (that is, the expectation of the relevant random variable). Do not round your response. (b) Quantify the uncertainty of your estimate by giving the standard deviation of the distribution. Round your response to at least three decimal places.
Anita's, a fast-food chain specializing in hot dogs and garlic fries, keeps track of the proportion of its customers who decide to eat in the restaurant (as opposed to ordering the food "to go") so it can make decisions regarding the possible construction of in-store play areas, the attendance of its mascot Sammy at the franchise locations, and so on. Anita's reports that 48% of its customers order their food to go. Suppose that this proportion is correct and that a random sample of 50 individual customers is taken. A) Estimate the number of customers in the sample who order their food to go by giving the mean of the relevant distribution (that is, the expectation of the relevant random variable). Do not round your response. B) Quantify the uncertainty of your estimate by giving the standard deviation of the distribution. Round your response to at least three decimal places
Whenever a two-factor experiment results in a significant interaction, you should be cautious about interpreting the main effects because an interaction can distort, conceal, or exaggerate the main effects of the individual factors. True False
Adarsh Sharma, supervisor of customer relations for Fly High airlines at Delhi Airport, is studying the problem of customer inconvenience due to flight delays. He is concentrating on three late-night flights out of Indira Gandhi International (IGI) Airport in New Delhi, In the last year, 7, 8, and 5 percent of the London, New York, and Singapore flights, respectively have been delayed. Further, 55, 20, and 25 percent of the late-night Fly High flights at IGI are for London, New York, and Singapore destinations, respectively. What is the probability that a delayed flight was scheduled for (a) London, (b) New York, and (c) Singapore?
Which concrete is best sold where? The marketing team of an engineering firm noticed that some of their concrete products are having trouble being sold at some of their distribution points. So they decided to investigate the sales for three concrete types: high-strength concrete, stamped concrete, and high-performance concrete. After consulting with the sales managers at three of their distribution points (A, B and C), they suspected two possibilities as potential reasons for the sales problem. The first is simply that some concrete types just sells better than others. The second is that in general, concrete sells in some places better than in others. So, they thought that if the first reason was true, they would have to just cut down on the production of the concrete types which don’t sell well. But if the second reason was true, then they would just limit normal distribution of concrete to places where it sells well. To clear these issues out they conducted a study. For each…
Suppose that management of Myrtle Air Express believes that the probability of strongdemand is 0.7 and the probability of weak demand is 0.3. Use the expected value approachto determine an optimal decision.
A smartphone manufacturer is so certain of its quality control that it offers a complete replacement warranty if the smartphone fails within 3 years. Based upon compiled data, the company notes that there is a 2 percent chance that its smartphone will fail during the first year, a 10 percent chance that a smartphone that survives the first year fails during the second year, and a 20 percent chance that a smartphone that survives the first two years fails during the third year. The warranty does not cover replacement smartphones after the third year. (a) Formulate the evolution of the status of the smartphone as a Markov Chain whose states include two abosrbing states that involve needing to honor the warranty or having the smartphone survive the warranty period. Construct the transition probability matrix and draw the transition probability diagram. (b) Determine the probability that: (a) the manufacturer will have to honor the warranty and (b) the manufacturer will not…
2. A leading researcher in the study of interstate highway accidents proposes that a major cause of many collisions on the interstates is not the speed of the vehicles but rather the difference in speeds of the vehicles. When some vehicles are traveling slowly while other vehicles are traveling at speeds greatly in excess of the speed limit, the faster-moving vehicles may have to change lanes quickly, which can increase the chance of an accident. Thus, when there is a large variation in the speeds of the vehicles in a given location on the interstate, there may be a larger number of accidents than when the traffic is moving at a more uniform speed. The researcher believes that when the standard deviation in speed of vehicles exceeds 10 mph, the rate of accidents is greatly increased. During a 1-hour period of time, a random sample of 50 vehicles is selected from a section of an interstate known to have a high rate of accidents, and their speeds are recorded using a radar gun. The data…
One of the issues that usually come up in the US presidential elections is how to deal with a sluggish economy. Specifically, should the government cut spending, raise taxes, inflate the economy by printing more money, or do none of the above and let the deficit rise? And as with most other issues, politicians need to know which parts of the electorate support these options. Suppose that a random sample of 1,000 people was asked which option they support and their political affiliations. The possible responses to the question about the preferred economic option were the four options mentioned above (i.e., Cut, Raise, Inflate, and Let), and to the question about political affiliation the respondents could answer Democrat, Republican, or Independent (which included a variety of political persuasions). The responses are summarised in the table below. Do these data allow us to conclude at the 1% significance level that political affiliation affects support for the economic options?…
A clinical psychologist is interested in determining which type of therapy is in fact more effective at treating depression. The psychologist randomly assigns 1/3rd of the participants to receive cognitive behavioral therapy, 1/3rd to receive the psychodynamic therapy and 1/3rd to receive humanistic therapy. Following the therapy sessions, the psychologist gives the members of each group the Beck Depression Inventory and compares the scores of the three groups. 1 What hypothesis test would be most appropriate for answering this research question and why? 2 If the researcher found that at least one of groups differed, what type of follow-up test would be most appropriate? 3 What are the independent and dependent variables (if any)?
A market-research group specializes in providing assessments of the prospects of sites for new children’s toy stores in shopping centers. The group assesses prospects as good, fair, or poor. The records of assessments made by this group were examined, and it was found that for all stores that had annual sales over $1,000,000, the assessments were good for 70%, fair for 20%, and poor for 10%. For all stores that turned out to be unsuccessful, the assessments were good for 20%, fair for 30%, and poor for 50%. It is known that 60% of new clothing stores are successful and 40% are unsuccessful.a. For a randomly chosen store, what is the probability that prospects will be assessed as good?b. If prospects for a store are assessed as good, what is the probability that it will be successful?c. Are the events “prospects assessed as good” and “store is successful” statistically independent?d. Suppose that five stores are chosen at random. What is the probability that at least one of them will be…

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