Thickness Weight Minutes Manager 398 364.5 17.9 Noelle 424 314.1 13.8 Noelle 379 374.5 15.5 Chuck 427 367.4 16.4 Noelle 429 364.6 18.3 Chuck 377 354 14 Noelle 389 332.8 19.7 Noelle 369 341.5 20.1 Paul 413 356.8 15.7 Noelle 368 357.2 18.7 Chuck 395 341.8 22.5 Chuck 424 348.6 15.8 Noelle 399 350.2 24.2 Paul 425 324.1 21.8 Chuck 397 332.9 16.6 Noelle 420 343 17.3 Paul 403 366.9 15.5 Noelle 428 349.1 20 Chuck 358 347.4 20.5 Paul 414 354.9 20.5 Chuck 401 337.9 23.5 Paul 420 334 16.8 Chuck 397 352.7 20.7 Noelle 416 362.2 14.2 Noelle 432 339.1 17.7 Noelle 384 337.1 18.6 Noelle 378 349.1 15 Noelle 422 362.4 14.9 Noelle 420 354.7 17 Noelle 383 354.4 15.1 Noelle 418 347 24 Paul 410 368.1 13.7 Noelle 429 367.5 23.7 Paul 435 353.7 14.6 Noelle 432 340.9 18.5 Chuck 392 329.6 13 Noelle 411 337.3 24.9 Chuck 350 321.8 18.2 Chuck 375 344 21.9 Chuck 415 375.5 22.9 Chuck 400 350.9 23.1 Paul 436 326.8 15 Noelle 402 336.5 13.7 Noelle 414 356.7 13.8 Noelle 403 335.2 19.1 Noelle 409 335.4 22.2 Paul 413 354.7 14.3 Noelle 428 373.9 21.3 Chuck 402 336.2 16.3 Chuck 364 354.5 22.8 Paul 396 366 18.3 Paul 420 364.4 24 Paul 402 351.3 17.5 Noelle 438 340.2 14.5 Noelle 383 337 18.5 Chuck 396 360.2 16.7 Chuck 409 341.9 17.9 Noelle 422 349.9 18 Paul 388 380.3 21.2 Paul 408 378.6 21.9 Chuck 420 344.1 24.5 Paul 406 346.9 16.5 Chuck 406 355.1 24.1 Paul 354 353 22.9 Paul 416 353.4 16.1 Paul 375 353.9 15.3 Noelle 398 357.5 20.1 Chuck 354 349.5 18.5 Noelle 387 369.6 17.2 Chuck 376 346.7 19 Chuck 427 340.4 20.2 Chuck 420 340.9 13.6 Noelle 419 358.1 16.1 Noelle 398 376.7 24.3 Chuck 422 350.3 24 Chuck 438 340.6 13.5 Noelle 422 347.9 24.3 Chuck 396 336.7 20.9 Paul 362 338.6 14.6 Noelle 420 345.9 14.8 Chuck 397 351.4 19.9 Paul 404 347.1 15.2 Noelle 422 338 23.3 Chuck 405 354.1 18 Chuck 421 346.8 14.7 Noelle 363 354.7 14 Noelle 417 333.1 21 Paul 400 328.5 21.2 Paul 437 341.2 17.9 Chuck 395 349 19.7 Chuck 415 345.5 21 Chuck 429 354.8 15.2 Noelle 422 322.4 15.9 Noelle 411 359.5 17.7 Chuck 397 371.5 14.7 Noelle 429 358 20.5 Noelle 424 378.9 13.1 Noelle 438 357.3 17.5 Paul 436 339.8 20.3 Chuck 430 351.1 19.1 Paul 393 331.2 22 Chuck 427 350 18.6 Chuck 420 360.7 15.3 Noelle 407 342.7 23 Paul 369 321.3 20.2 Chuck 415 322.6 14.8 Noelle 396 355.5 15.5 Noelle 408 343.6 22.1 Noelle 404 365 15.9 Noelle 416 377.1 14.2 Chuck 390 359.4 23.4 Paul 415 352 18.8 Noelle 413 341.5 24.1 Paul 416 367.2 19.1 Chuck 411 371.4 13.9 Noelle 398 369.8 19.8 Chuck 398 355.9 16.8 Noelle 437 352.6 17.4 Paul 424 370 15.4 Noelle 370 346.5 17.4 Chuck 438 359.2 24 Paul 380 348.7 21.3 Chuck 393 339.2 24.3 Paul 402 363.9 17.8 Chuck Use the dropdown menu to choose the Quality Control Study data set. The variable descriptions are as follows: No.: An arbitrary number assigned to each unit sampled from the factory's production line Thickness: The thickness of the sampled unit in millimeters (mm) Weight: The weight of the sampled unit in grams (g) Minutes: The number of minutes to build the unit from start to completion Manager: The manager on duty during the unit's production When the sample size is set to 140, what is the value of the Weight variable for the first observation?

Weight City MPG 3968 20 3583 22 3470 22 3527 23 3990 18 4724 17 3692 21 3315 22 3616 20 5527 14 3719 16 3097 26 3800 19 3532 25 2269 31 5674 15 3402 20 4029 19 3996 19 3242 23 2434 31 2575 29 2960 27 3618 15 4054 19 3192 24 3305 23 3605 19 4240 15 3933 18 3633 19 3790 17 3477 20 3258 21 4685 17 2776 25 2615 24 3186 21 5137 13 3461 21 4233 16 4178 18 4702 17 3713 22 5794 14 2306 28 3194 26 3428 22 4894 12 4751 17 2605 29 3296 25 5267 13 2789 25 3570 19 4011 18 2363 27 4398 15 2806 25 2127 36 2665 27 3419 24 3427 24 3280 25 5765 13 3465 24 2295 30 3038 22 3070 25 4711 17 3230 24 3528 21 4667 16 SUMMARY OUTPUT                                   Regression Statistics               Multiple R 0.894328844               R Square 0.799824082               Adjusted R Square 0.797004703               Standard Error 2.238112689…

How long does it take to finish the 1161-mile Iditarod Dog Sled Race from Anchorage to Nome, Alaska? Finish times (to the nearest hour) for 57 dogsled teams are shown below. 261 271 236 244 279 296 284 299 288 288 247 256 338 360 341 333 261 266 287 296 313 311 307 307 299 303 277 283 304 305 288 290 288 289 297 299 332 330 309 328 307 328 285 291 295 298 306 315 310 318 318 320 333 321 323 324 327             For this problem, use five classes. (a) Find the class width. (b) Make a frequency table showing class limits, class boundaries, midpoints, frequencies, relative frequencies, and cumulative frequencies. (Give relative frequencies to 2 decimal places.)

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What is the highest first-dose recipiency rate recorded in any zip code across the city? Type your answer.

775 1065 896 930 1052 846 949 797 1041 962 1028 910 1067 982 879 1097 1071 1056 1021 928 1045 974 1112 975 887 1069 1040 927 867 864 983 987 906 1030 934 662 1004 901 1123 1033 1028 934 1148 1027 978 1139 1078 1088 948 912 942 860 822 911 938 1000 944 980 915 899 852 989 978 991 996 878 833 865 1069 779 960 907 1009 1118 903 957 1014 885 947 1006 1036 824 866 860 986 972 916 991 851 1050 980 983 977 864 903 940 995 842 1122 1036 The above table represents the average rent for 100 randomly selected U.S. cities. According to www.apartments.com, the average rent for a two-bedroom apartment in the city of Napa is $1,967. How do other U.S. cities’ rents compare to Napa? Are they about the same, on average, or are rents significantly lower elsewhere? 1) Set up the hypotheses (null and…