Rate5287153663918155274419765882785596866044989471026515474728796493526919112230451955945343823617645466136122647838169835115734742855433261027923779636599861852349138080475811536747315534225526455064808436836825816014933726138363901053816936152444695597430920607996452506376282 Question 10In an attempt to reduce drunk driving, police set up vehicle checkpoints during the July 4evening. The police randomly selects vehicles to be stopped for "informational" checks. On aparticular roadway assume that 4% of all drivers have a blood alcohol level above the legal limit.During the evening, it is estimated that the checkpoint has the capacity to stop 200 vehicles.Compute the probability that exactly 10 of the 200 drivers will exceed the legal limit (round youranswer to 4 decimals)

Given : p =0.04 q = 1 - p = 1 - 0.04 = 0.06 n = 200

Answered: Question 10 In an attempt to reduce…

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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Assume that the data contained in the file represents a random sample of cars from Japan, the USA, and Other countries. Perform the following analysis. 1. Sort, or Arrange, the data so that you have Gas Tank Size by Type of car. Note the Type of car is Sporty, Compact, Medium, and Large. You will need a column for each Type. You can do this using the Sort feature and then copy and paste into separate columns for each Type, or you could use a pivot table with Model as a row variable, Type as the column variable, and Gas Tank Size as the summary value. Once you have sorted and arranged the Gas Tank Size values by Type, Copy/Paste your sorted table to a new worksheet. 2. Produce a boxplot of Gas Tank Size for each Type of car. Briefly comment on the findings paying attention to the spread and the center of each Type of car's distribution as shown by the boxplot. 3. Conduct the appropriate test to determine if there is a difference in mean Gas Tank Size by Type of car. Use a level of…
Price SqFt 600000 2767 545000 2731 314900 2051 419000 2084 365000 2270 479000 1950 323000 1235 339900 2116 399000 1644 552000 2415 223017 1375 315777 1529 499000 2223 575000 2327 342000 1879 375000 1558 349000 2012 485000 1200 549888 1410 295000 1943 399000 1827 306999 1840 265200 1636 479000 2357 249700 1152 539500 2650 365000 2154 295900 1279 499000 2156 526000 2493 514900 2390 346000 1347 460000 2120 389000 1917 499000 1200 405000 2643 389900 1789 545000 2327 339000 1742 425000 1746 479000 1421 392000 2569 Interpret b0 in the context of this problem. Interpret b1 in the context of this problem. What percent of total variation in prices is explained by the regression model? Provide evidence to support your answer. Please include the excel function.
b) Make a frequency polygon of the test scores.Apparent Limits frequency93-95 190-92 287-89 684-86 881-83 978-80 775-77 672-74 369-71 466-68 263-65 060-62 2
Easy to graduate colleges Tough to graduate colleges 547 495 550 526 451 480 470 533 617 429 554 529 524 568 620 550 650 535 519 506 486 540 494 509 513 459 615 526 524 377 525 543 608 490 537 513 550 466 520 544 540 502 497 480 520 531 533 470 455 400 525 494 603 395 578 445 459 460 525 372 575 504 564 480 509 520 530 542 670 522 590 440 590 510 532 419 585 330 514 457 592 436 485 433 660 426 470 433 408 440 505 455 557 486 650 399 538 508 515 488 536 436 515 393 560 439 560 642 557 524 617 570 470 528 462 544 570 532 541 508 422 538 579 515 575 450 564 550 540 685 600 742 571 550 660 610 550 498 526 469 530 575 555 435 520 550 482 570 444 650 687 530 482 432 514 508 442 480…
Year Qtr 1 Qtr 2 Qtr 3 Qtr 4 Total Year Qtr Planes 2009 310 408 390 477 1,585 2009 Qtr1 310 2010 243 377 281 433 1,334 Qtr2 408 2011 268 289 286 480 1,323 Qtr3 390 2012 305 358 339 514 1,516 Qtr4 477 2013 329 413 353 520 1,615 2010 Qtr1 243 2014 345 380 379 527 1,631 Qtr2 377 2015 296 374 378 544 1,592 Qtr3 281 Qtr4 433 2011 Qtr1 268 Qtr2 289 Qtr3 286 Qtr4 480 2012 Qtr1 305 Qtr2 358 Qtr3 339 Qtr4 514 2013 Qtr1 329 Qtr2 413 Qtr3 353 Qtr4 520 2014 Qtr1 345 Qtr2 380 Qtr3 379 Qtr4 527 2015 Qtr1 296 Qtr2 374 Qtr3 378 Qtr4 544 (c)…
Day Revenue Occupied 1 1452 32 2 1361 20 3 1426 21 4 1470 25 5 1456 26 6 1430 23 7 1354 20 8 1442 39 9 1394 15 10 1459 50 11 1399 41 12 1458 35 13 1537 41 14 1425 31 15 1445 51 16 1439 62 17 1348 45 18 1450 41 19 1431 62 20 1446 47 21 1485 43 22 1405 38 23 1461 36 24 1490 60 25 1426 65
Zip Code 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 405 93905 760 4 93905 630 4 93905 from ho 640 ales above, 3 93905eath ip 749 find: sampl 4 93905 503 3 93905 43908 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 Price 714 855 598 769 529 795 715 635 989 93901 93901 93901 93901 790 605 800 480 660 799 900 799 640 650 93906 do the 1069 93906 700 93906 819 635 850 840 625 730 728 840 845 785 700 609 739 685 675 565 595 Bedrooms 3 5 3 4 2 5 3 4 6 4 3 5 3 2 3 3 4 6 3 3 2 4 3 4 3 4 4 3 4 4 4 3 2 3 3322 Baths 1 3 3 3 1 3 2 3 3 3 1 3 1 1 3 2 13 abd 3 1 3 3 2 3 3 2 2 2 3 2 3 2 3 3 2 3 3 3 3 2 3 2 2 1 1 Square Feet 821 2658 1638 2607 729 2253 1529 1980 3074 2607 948 2076 1089 863 2255 1353 1442 1837 920 2450 1877 1231 2191 3043 1814 1498 1240 2905 1328 2195 1112 2156 2276 1450 2400 2191 2207 1852 1077 1501 1152 1420 816 1212
Data 16 24 24 24 27 27 27 34 34 34 34 34 34 34 34 35 35 37 37 37 43 44 44 44 44 44 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 46 46 46 47 47 47 54 54 54 56 56 56 56 56 56 56 57 57 57 57 57 57 57 57 57 57 57 57 57 58 58 58 58 58 62 64 64 64 64 64 64 64 64 64 64 64 64 64 65 65 65 65 65 65 65 65 67 67 67 67 67 67 67 67 68 68 68 68 69 69 69 73 73 73 73 74 74 74 74 74 74 75 75 75 75 75 75 75 75 75 75 76 76 76 78 78 78 78 78 78 78 78 78 78 78 78 78 78 78 80 80 80 83 83 83 84 84 85 85 85 85 85 86 86 86 86 86 86 86 86 86 86 86 86 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 89 90…
Company Competitor 1383 1153 2022 1067 2429 1296 901 1406 2219 1254 1896 1335 1910 1204 1539 1076 2048 1246 2881 1098 2395 1258 1349 955 2052 954 2675 1363 1588 1022 2704 1155 3148 1807 2822 1295 2217 1116 2260 1323 3040 1326 3137 1107 2977 1163 2599 1254 2412 1017 3187 938 2598 1270 2995 1042 3046 1318 3858 1497 2438 750 3243 1380 2764 1053 2944 932 3324 1097 2797 1193 3914 1271 2766 843 2273 780 3052 1095 3202 1290 3672 937 3957 1390 3274 1056 3788 1235 3502 1235 2942 999 3078 1066 3196 641 3141 1322 3579 1289 3895 1060 above is the excel data, please solve the excel part with formulas and explanation, thanks
Price SqFt 600000 2767 545000 2731 314900 2051 419000 2084 365000 2270 479000 1950 323000 1235 339900 2116 399000 1644 552000 2415 223017 1375 315777 1529 499000 2223 575000 2327 342000 1879 375000 1558 349000 2012 485000 1200 549888 1410 295000 1943 399000 1827 306999 1840 265200 1636 479000 2357 249700 1152 539500 2650 365000 2154 295900 1279 499000 2156 526000 2493 514900 2390 346000 1347 460000 2120 389000 1917 499000 1200 405000 2643 389900 1789 545000 2327 339000 1742 425000 1746 479000 1421 392000 2569 Can square feet explain prices? Provide evidence to support your answer. If the square feet is 2418, what is the expected price for the home? Please include the excel function.
239 251 292 287 264 209 279 229 225 231 224 258 255 269 259 219 249 206 263 278 249 243 130 256 312 254 240 272 273 228 300 265 290 233 286 263 295 252 232 239 244 284 270 210 316 278 232 247 235 191 The insurance Institute for Highway safety regularly conduct studies to increase public safety on the country highways. One important study that happens every year is the measure of stopping (in feet) from 60 miles an hour (including reaction time). The date it for 50 midsize sedan's is given above. a) Create a histogram of the data provided above. b) Describe its main features. Shape: Peaks: Center: Spread: Outlier: c) which numerical summary would you choose for these data? Calculate your chosen summary. How does it reflect the Skewness of the distribution?
Interpret the Coefficient of Determination New Cases New Deaths 1765 4 1097 5 891 4 959 6 937 58 1047 26 1353 9 1776 8 1952 34 1906 8 2052 11 1524 139 1453 146 1912 40 2048 137 2058 8 1895 11 2163 14 1357 69 1862 64 1783 74 2178 20 1797 54 1949 53 1581 50 1173 94 2245 95 1169 71 1849 48 2109 71 2103 80 1658 58 1583 67 1266 68 1590 55 1894 61 1941 52 1790 70 1690 52 1235 65 1345 114 1734 68 2022 26 1960 12 1928 8 1685 2 1391 7 1184 53 1744 96 1901 157 2240 239 1888 20 2288 6 1414 16 1557 22 2269 72 2651 46 2921 42 2113 29 2037 4 2067 47 1783 20 2452 15 3045 19 3439 42 3276 51 3356 5 2668 7 2886 17 3749 63 4578 87 5000 72 4899 63 5404 8 4437 11 4387 18 5290 21 7103 13 7999 30 7757 39 8019 4 5867 20 6666 47 8773 56 9838 54 9595 10 9475 11 10016 16 9296 5 6128 106

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