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- Why is an expanded concept of "variation" necessary in statistical improvement?An avant-garde clothing manufacturer runs a series of high-profile, risqué ads on a billboard on the Trans-Canada Highway and regularly collects protest calls from people who are offended by them. The company has no idea how many people in total see the ads, but it has been collecting statistics on the number of phone calls from irate viewers: Type Description Number of ComplaintsR Offensive racially/ethnically 10M Demeaning to men 4W Demeaning to women 14I Ad(s) is/are incomprehensible 6O Other 2Depict this data with a Pareto chart. Also depict the cumulative complaint line. What percent of the total complaints can be attributed to the most prevalent complaint?Suppose you want to estimate the proportion of cars that are sport utility vehicles (SUVs) being driven in Kansas City, Missouri, at rush hour by standing on the corner of I-70 and I-470 and counting SUVs. You believe the figure is no higher than 0.40. If you want the error of the confidence interval to be no greater than .03, how many cars should you randomly sample? Use a 90% level of confidence. Appendix A Statistical Tables (Round your answer up to the nearest integer.) Sample enter a number of cars rounded to the nearest integer
- An avant-garde clothing manufacturer runs a series of high-profile, risque ads on a billboard on Highway 101 and regularly collects protest calls from people who are offended by them. The company has no idea how many people in total see the ad, but it has been collecting statistics on the number of phone calls from irate viewers: Number of Туре Description Complaints R Offensive racially/ethnically 10 Demeaning to men 4 Demeaning to women Ad is Incomprehensible W 14 6 Other 2 a) Choose the correct Pareto chart below. O A. В. Q WRIMO RM WIo Type of complaints WRIMO R M W iO Type of complaints Type of complaints Type of complaints b) What percent of the total complaints can be attributed to the most prevalent complaint? The most prevalent complaint is with % of the total complaints. (Enter your response rounded to one decimal place.) Frequency (number) m (Jə qunu) fouanbas Frequency (number) Frequency (number)Why did statistical quality control ideas catch on in the 1940s?Post Covid-19 will inevitably change the expectations of the customer in relation to restaurant service. Watch the advertisement ( https://www.youtube.com/watch?v=QX64tBjRkwM&t=11s) of the country’s number one fast food chain, Jollibee in going beyond the extra mile to ensure the safety of its customers while continuing to deliver quality food and service. Read also reopening guidelines of hotels and restaurants in Florida, USA and react whether the guidelines can be applied to the establishments in our country. In your opinion and observation, what are the "now normal" strategies in the restaurant service? How did the staff interact with the guest?
- Figure 1 shows the general discriminatory test for health status prediction. "Perfect test cut-off True negative; TN (specificity) True positive; TP (sensitivity) False negative (FN) False positive (FP) Healthy Sick (a) Test cut-off Moving cut-off to left reduces false negatives (higher specificity) at cost of reduced sensitivity Moving cut-off to right reduces false positives (higher sensitivity) at cost of reduced specificity TN TP FN FP Healthy Sick (b) Figure 1. The Discriminatory Test with (a) A Good Discrimination Test Cut-off, and (b) A Bad Discrimination Test Cut-off i. What is your next action, if you obtain a perfect discriminatory test result (where both false negative and false positive rate are near zero) during model training? Justify your action. ii. In which phase of machine learning methodology do you move the test cut-off point as shown in Figure 1(b)? Justify why you should do that.Experimental Study: In the experimental study, the researcher would first identify a sample population of individuals who are willing to participate in the study. The participants would be randomly assigned to two groups: intervention vs. control. The intervention group would consume a specific amount of fried food each day, while the control group would not consume any fried food. Both groups would undergo testing to measure cardiovascular health. In this study, the independent variable is fried food consumption, which is measured by recording the amount and type of fried food consumed by the intervention group. Cardiovascular health would be the dependent variable. The research would be conducted as a randomized controlled trial, a type of experimental study. The study could last several weeks or months, and participants would be closely monitored for changes in their cardiovascular health. Following the intervention, both groups would be subjected to post-intervention testing to…8. assignment variable at which the treatment status does NOT change In Regression Discontinuity framework, the cutoff is defined as the level of the True False 9. What regression equation do we use for regression discontinuity framework? a) Y = Bo + B1 T + B2Xu+ Ei b) Y = Bo + B,T+ B2C + ei c) Y, = Bo + B, T+ B2 (Xi-C) + ei d) Y, = Bo + B1T + B2 (Xu + C) + € 10. Regression Discontinuity Design accomplices apples-to-apples comparison by comparing individuals as far from the cutoff as possible. True False
- #8 A cracker manufacturer wants to know how a new cracker she wants to make compares to the competition, so she has people in a sample of supermarkets across the country ask people to compare three crackers: one of her crackers and two competing crackers. This is an example of what kind of statistical study? Experiment Survey Observational StudyA sample of twenty automobiles was taken, and the miles per gallon (MPG), horsepower, and total weight were recorded. Develop a linear regression model to predict MPG using horsepower as the only indepen- dent variable. Develop another model with weight as the independent variable. Which of these two models is better? Explain. MPG 44 44 40 37 37 34 35 32 30 28 26 26 25 22 20 21 18 18 16 16 4 HORSEPOWER 67 50 62 69 66 63 90 99 63 91 94 88 124 97 114 102 114 142 153 139 WEIGHT 1,844 1,998 1,752 1,980 1,797 2,199 2,404 2,611 3,236 2,606 2,580 2,507 2,922 2,434 3,248 2,812 3,382 3,197 4,380 4,036What are similarities of Interrupted Time Series and Regression Discontinuity? What are some differences?
