i Suppose that 0.1 of people in your town where a mask. Of those who wear a mask 0.6 of them get sick. Of those who do not wear a mask 0.8 of them get sick. If someone gets sick, what is the probability that they wore a mask. Select the closest answer. 0 7.7% O 75.00% 0 43% o 73.00% Big Town Uttl evil Ie House g CM Ag: Sale Price House lug CM Am Sale Price 3 Show 50 300,000 3 Story 10 325,001 2 Show 3 mom 2 Story 15 25010 1 Show 10 mono 1 stem 25 125,000 Total as 247,059 Total 50 195,000 Pleas: rut-ville Steeltown $113121: cam. W m M mm Brick 50 35.000 Brick 50 30,000 Vinyl 25 25,000 Vinyl 25 20,000 Aluminum 10 15,000 Aluminum 10 10,000 Total 85 29,706 Total 85 24,706 Simpson's Paradox... 0 Is occurring in the top table because Big Town's average sale is larger than Littleville's at the detail level but smaller at the aggregate level. 0 Is occurring in the bottom table because Pleasantville' average repair cost is smaller than Steeltown's at the detail level but larger at the aggregate level. 0 Is occurring in the top table because Big Town's average sale is smaller than Littleville's at the detail level but larger at the aggregate level. 0 Is occurring in the bottom table because Pleasantville' average repair cost is larger than Steeltown's at the detail level but smaller at the aggregate level. Do not consider any facts that are not directly mentioned in this problem. Consider the three scenarios below. One: A review of hospitalization gures shows that larger hospitals (those with more beds) also have patients who stay in the hospital longer. You suspect that big hospitals are trying to make more money by having patients stay longer. You discuss this with your boss who tells you that larger hospitals usually take on more patients with more serious illnesses and patients with more serious ilnesses stay in the hospital longer. Two: You are looking at county health data and notice that an increase in CDVID cases leads to a subsequent increase in COVID deaths. Three: Eva pays more for heat than Catherine does. Eva lives where it is oolder. Relative to the scenarios above, which of the choices below is a lurking variable? 0 The cost of heat. 0 Increase in COVID cases. 0 People with more serious illnesses going to larger hospitals and requiring longer hospital stays. 0 Increase in COVID deaths. \\ Suppose that 0.1 of people in your town where a mask. Of those who wear a mask 0.5 of them get sick. Of those who do not weara mask 0.8 of them get sick. In order, what is Prob (Wear a Mask); Prob (Gel Sick | Wear Mask); Prob (Get Sick | No! wear Mask) 0 0.1 ;o.5;o.s O o.5;o.1;o.a o o.s;o.1;o.5 o o.1;o.e;o.5 I randomly select the amount of time that students spend studying for the exam, such as 90 minutes and 151387805885 seconds, 122 minutes and 588543334 seconds, etc. This is an example of a 0 Discrete variable. 0 Innite sample space. 0 Sample average. 0 Event l have recorded my travel time from home to school for 10 years. I never know exactly how long the trip will take but 40% of the time it takes less than a half-hour. This is an example of 3 OH 0 Random 0r Stochastic phenomenon. O Conditional distribution. 05 All the possible numbers between 100 and 200. For example: 112.135576767545, 191 .1205639928, 15023948093, etc. This is an example of a 0 Continuous variable. 0 Marginal distribution. 0 Finite sample space. 0 Discrete variable. Interviewer: "Have you ever used or been involved with narcotics?" Pablo Escobar: "Who me? Never." Note: If you are unaware, Pablo Escobar was a Columbian drug lord. This scenario is an example of what? O Voluntary response bias O Response bias O Non-response bias O Convenience sampling.I have 5 students in my Special Topics course. I arrange their names alphabetically. I assign a 40% chance that I will select the first student, a 25% chance that I will select either of the next two, and a 5% chance that I will select either of the last two. This is an example of a O Continuous variable. O Marginal distribution. O Infinite sample space. O Finite sample spacel_ l knock on the doors of my neighbors houses and ask them to ll out a survey because they happen to be home one day. I use the results of the survey and report that they are a sample of my entire city. This is an example of 0 Voluntary response sampling. 0 Convenience sampling 0 Multi-stage sampling. 0 Stratied sampling. I am going to do an experiment where I roll a die a large number of times. I am interested in whether the die lands with 2 or 3 spots showing. The '2 or 3 spots' is the O S O o 0 Event 0 Sample space I rated 20 images all with Blue backgrounds. You rated 40 images all with red backgrounds. We were exposed to different O Treatments O Continuous variables O Subjects O Infinite sample spacesA. The population has a mean of 196 and a standard deviation of 49. We sample 36 people from this population and repeat this process 25 times. B. The population has a mean of 169 and a standard deviation of 25. We sample 81 people from this population and repeat this process 49 times. Which of the two scenarios will have a wider sampling distribution? O It's a tie O A O BA set of test scores is normally distributed with a mean of 400 and a standard deviation of 100 What score is necessary to reach the 80th percentile? Select the closest answer. 0 434.2 0 84.1% 0 84.16 080 Suppose we are studying the selling price [in thousands) of all the cars sold at a dealership. A] We take a sample of 16 prices of cars. Their prices were: 13, 19, 27, 70, 56, 43, 63, 35, 48, 67, 45, 34, 3'0, 46, 19,.... B] The price of all the cars are: 22, 45, 18, 19, 67, 27, 70, 56, 24, 43, 68, 35, 54, 4B, 67, 70, 45, 34, 70, 34, 46, 68, 19,.... C] We compute the average for a sample 16 prices and repeat this process 49 times. Those averages were: 45.3, 39.5, 55.2, 48.1, The average selling price of all cars is 40 and the standard deviation if 16. According to the Central Limit Theorem (and only the Central Limit Theorem) what will be the shape, center (mean) and standard deviation of the sampling distribution, in that order? 0 Bell, 40, 161'? 0 Bell, 40, 1 0 Bell, 40, 4 0 Bell, 40, 15149 Suppose we are studying the value of a customer. A) We take a sample of 49 customers. Their values were: 19, 14, 12, 7, 0, 4, 2, 18, 6, 3, 11, 8,... B) We compute the average for a sample 49 customers and repeat this process 25 times. Those averages were: 12.3, 11.8, 13.8, 13.1, 12.9, 13.3, ... C) The values of all the customers are: 3, 7, 18, 17, 19, 16, 14, 13, 12, 7, 10, 0, 4, 19, 2, 19, 18, 6, 3, 11, 8,.......... Which of these is the Population distribution, sample distribution and sampling distribution [in that order]? O A, B,C O C,B,A O B,C,A O C,A, BA set of test scores is normally distributed with a mean of 400 and a standard deviation of 100. What percent of test takers will score less than 300'? Select the closest answer 0 80% O 84.1% 0 15.9% 0 -25% Question 8 Going from left to right, the plot below shows Residuals By X 6 4 2 Residuals 0 1 2 3 4 5 6 7 8 2 6 Independent Variable O Heteroscedasticity O Under-prediction and then over-prediction O Over-prediction and then under-predictionSuppose that 0.1 of people in your town where a mask. or those who wear a mask 0.5 of them get sick. Of those who do not wear a mask 0.8 of them get sick. What is the probability that someone gets sick? 0 130% O 77.00% 0 140% 0 13.00%