ISYE 6501 Midterm Quiz 2-lok

Midterm Quiz 2 - Verified MM Learners Midterm Quiz 2 due Apr 12, 2021 1500 HKT Completed 90 Minute Time Limit Instructions Work alone. Do not collaborate with or copy from anyone else. Work the problems in any order ...

Midterm Quiz 2 - Verified MM Learners Midterm Quiz 2 due Apr 12, 2021 1500 HKT Completed 90 Minute Time Limit Instructions Work alone. Do not collaborate with or copy from anyone else. Work the problems in any order you wish, but submit each answer before ending the exam. You may use any of the following resources: One sheet (both sides) of handwritten (not photocopied or scanned) notes If any question seems ambiguous, use the most reasonable interpretation (i.e. don't be like Calvin): Good Luck!    4/29/2021 Midterm Quiz 2 - Verified MM Learners | Midterm Quiz 2 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2021/courseware/f712bb2a96ff46b0bc8d775293bfc91d/1b57ff6ea64c40cf8f4eb69d2b… 2/28 This is the beginning of Midterm Quiz 2. Please make sure that you submit all your answers before the time runs out. Once you submit an answer to a question, you cannot change it. There is no overall Submit button. After submitting all answers, please click the "End my Exam" button, above, before exiting from ProctorTrack to complete your exam. Information for Question 1 There are five questions labeled "Question 1." Answer all five questions. For each of the following five questions, select the probability distribution that could best be used to model the described scenario. Each distribution might be used, zero, one, or more than one time in the five questions. These scenarios are meant to be simple and straightforward; if you're an expert in the field the question asks about, please do not rely on your expertise to fill in all the extra complexity (you'll end up making the questions below more difficult than I intended). Question 1 1.4/1.4 points (graded) Number of eggs inspected until the first cracked one is found Geometric  You have used 1 of 1 attempt Question 1 1.4/1.4 points (graded) Number of phone calls made by a telemarketer until one is answered Geometric  Submit 4/29/2021 Midterm Quiz 2 - Verified MM Learners | Midterm Quiz 2 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2021/courseware/f712bb2a96ff46b0bc8d775293bfc91d/1b57ff6ea64c40cf8f4eb69d2b… 3/28 You have used 1 of 1 attempt Question 1 0.0/1.4 points (graded) Number of arrivals to the ID-check queue at an airport each minute Exponential  You have used 1 of 1 attempt Question 1 0.0/1.4 points (graded) Number of faces correctly identified by deep learning DL software until an error is made Weibull  You have used 1 of 1 attempt Question 1 1.4/1.4 points (graded) Time between people clicking an online banner ad Exponential  You have used 1 of 1 attempt Submit Submit Submit Submit 4/29/2021 Midterm Quiz 2 - Verified MM Learners | Midterm Quiz 2 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2021/courseware/f712bb2a96ff46b0bc8d775293bfc91d/1b57ff6ea64c40cf8f4eb69d2b… 4/28 Questions 2a, 2b 5.0/10.0 points (graded) Five classification models were built for predicting whether a neighborhood will soon see a large rise in home prices, based on public elementary school ratings and other factors. The training data set was missing the school rating variable for every new school 3% of the data points). Because ratings are unavailable for newly-opened schools, it is believed that locations that have recently experienced high population growth are more likely to have missing school rating data. Model 1 used imputation, filling in the missing data with the average school rating from the rest of the data. Model 2 used imputation, building a regression model to fill in the missing school rating data based on other variables. Model 3 used imputation, first building a classification model to estimate (based on other variables) whether a new school is likely to have been built as a result of recent population growth (or whether it has been built for another purpose, e.g. to replace a very old school), and then using that classification to select one of two regression models to fill in an estimate of the school rating; there are two different regression models (based on other variables), one for neighborhoods with new schools built due to population growth, and one for neighborhoods with new schools built for other reasons. Model 4 used a binary variable to identify locations with missing information. Model 5 used a categorical variable: first, a classification model was used to estimate whether a new school is likely to have been built as a result of recent population growth; and then each neighborhood was categorized as "data available", "missing, population growth", or "missing, other reason". 4/29/2021 Midterm Quiz 2 - Verified MM Learners | Midterm Quiz 2 | ISYE6501x Courseware | edX https://courses.edx.org/courses/course-v1:GTx+ISYE6501x+1T2021/courseware/f712bb2a96ff46b0bc8d775293bfc91d/1b57ff6ea64c40cf8f4eb69d2b… 5/28 a. If school ratings cannot be reasonably well-predicted from the other factors, and new schools built due to recent population growth cannot be reasonably well-classified using the other factors, which model would you recommend?  b. In which of the following situations would you recommend using Model 3? All predictions and classifications below are using the other factors.