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- You have the following data: Student A took 2 courses in the Fall semester. His previous CGPA was 3.2. He received GPA 3.5 in the Fall semester. Student B took 5 courses in the Fall semester. Her previous CGPA was 3.9. She received GPA 3.6 in the Fall semester. Student C took 4 courses in the Fall semester. His previous CGPA was 3.6. He received GPA 3.4 in the Fall semester. Using this data, we'll try to build a model using Least Square approximation, that can predict the CGPA of a student in the Fall semester given the number of courses s/he took in Fall, and his/her previous CGPA. (In real life, we'd use many more parameters, but for the sake of the quiz, we are keeping things simple.) The model is as follows - wi x (number of courses) + wz x (previouos CGPA) = GPA in Fall Find the values of wi, and wz using Least Square approximation. (Round off up to 3 decimal points) w, is equal to - wz is equal to - If a student took 4 courses in Fall, and his previous CGPA was 3.7, what would be…6. data are those that can be counted and assume only a countable number of values. A. Continuous C. Qualitative B. Variable D. DiscreteYou are interested in the relationship between gender and violent victimization. You have the data below: Victimization No Yes Total Gender b. Interpret Lambda. Male 150 50 200 Female 190 10 200 Total 340 60 400 a. Calculate Lambda. If needed, take a picture of your work and insert directly into the workspace.
- 3. Match the columns. Write your answer with the corresponding number and letter, for example, 3e. 1. secondary research 2. primary research 3. secondary data 4. primary data 5. source of secondary data a. Geodemographic information system b. Government statistics C. Search the literature d. Conduct interviews e. Completed questionnairesRate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282Two refreshment stands kept track of the number of cases of soda they sold weekly during the summer time, as shown on the dot plots below. Stand A Stand B 10 11 12 13 14 15 16 17 18 19 10 11 12 13 14 15 16 17 18 19 Number of Cases Sold Number of Cases Sold What is the difference between the modes of the number of cases of soda sold? OA. 11 ов. 2 ос. 5 OD. 16
- Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282Exercise ( H.W): 4/ A survey of 500 television watchers produced the following information. football games 195 = basketball games 115 = hockey games hockey and basketball 285watch 50 = 45 = football and basketball 70 football and hockey %3D 50 do not watch any of three games a/ How many people in the survey watch all three games b/ How many people in the survey watch exactly one of the three gamesA city with 9800 registered voters has 5 candidates running for the city Mayor. Last week, 350 voters were randomly chosen and asked if they would vote for Peter Griffin (one of the candidates), and 22 % responded they would. On the election day, 35 % of the registered voters actually voted for Peter Griffin.Identify the parameter. 35 % 350 9800 5 22 % Unknown
- The following table shows the number of hits (H), number of at-bats (AB), and batting average (AVG=H/AB)(AVG=H/AB) for Major Leaguers Derek Jeter and David Justice in 1995 and 1996. 1995 1996 Jeter 12 H 48 AB AVG=250AVG=250 183 H 582 AB AVG=314AVG=314 Justice 104 H 411 AB AVG=253AVG=253 45 H 140 AB AVG=321AVG=321 Source: Based on Ken Ross, A Mathematician at the Ballpark: Odds and Probabilities for Baseball Fans, Pi Press, 2004. Which player had the higher batting average in both 1995 and 1996? Compute the batting average for each player for the two years combined. Which player had the higher combined batting average for 1995 and 1996? Briefly explain why the results might seem surprising or paradoxical.Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282