DATA SET
300 | 349.1 | 4 | 6126 | 2438 | 1 | 5.703783 | 5.855359 | 8.720297 | 7.798934 | |
370 | 351.5 | 3 | 9903 | 2076 | 1 | 5.913503 | 5.86221 | 9.200593 | 7.638198 | |
191 | 217.7 | 3 | 5200 | 1374 | 0 | 5.252274 | 5.383118 | 8.556414 | 7.225482 | |
195 | 231.8 | 3 | 4600 | 1448 | 1 | 5.273 | 5.445875 | 8.433811 | 7.277938 | |
373 | 319.1 | 4 | 6095 | 2514 | 1 | 5.921578 | 5.765504 | 8.715224 | 7.82963 | |
466.275 | 414.5 | 5 | 8566 | 2754 | 1 | 6.144775 | 6.027073 | 9.055556 | 7.92081 | |
332.5 | 367.8 | 3 | 9000 | 2067 | 1 | 5.80664 | 5.907539 | 9.10498 | 7.633853 | |
315 | 300.2 | 3 | 6210 | 1731 | 1 | 5.752573 | 5.704449 | 8.733916 | 7.456455 | |
206 | 236.1 | 3 | 6000 | 1767 | 0 | 5.327876 | 5.464255 | 8.699514 | 7.477038 | |
240 | 256.3 | 3 | 2892 | 1890 | 0 | 5.480639 | 5.546349 | 7.969704 | 7.544332 | |
285 | 314 | 4 | 6000 | 2336 | 1 | 5.652489 | 5.749393 | 8.699514 | 7.756196 | |
300 | 416.5 | 5 | 7047 | 2634 | 1 | 5.703783 | 6.031887 | 8.860357 | 7.876259 | |
405 | 434 | 3 | 12237 | 3375 | 1 | 6.003887 | 6.073044 | 9.412219 | 8.12415 | |
212 | 279.3 | 3 | 6460 | 1899 | 0 | 5.356586 | 5.632287 | 8.773385 | 7.549083 | |
265 | 287.5 | 3 | 6519 | 2312 | 1 | 5.57973 | 5.661223 | 8.782476 | 7.745868 | |
227.4 | 232.9 | 4 | 3597 | 1760 | 1 | 5.426711 | 5.450609 | 8.187856 | 7.473069 | |
240 | 303.8 | 4 | 5922 | 2000 | 0 | 5.480639 | 5.71637 | 8.68643 | 7.600903 | |
285 | 305.6 | 3 | 7123 | 1774 | 1 | 5.652489 | 5.722277 | 8.871084 | 7.480992 | |
268 | 266.7 | 3 | 5642 | 1376 | 1 | 5.590987 | 5.586124 | 8.637994 | 7.226936 | |
310 | 326 | 4 | 8602 | 1835 | 1 | 5.736572 | 5.786897 | 9.05975 | 7.5148 | |
266 | 294.3 | 3 | 5494 | 2048 | 1 | 5.583496 | 5.684599 | 8.611412 | 7.624619 | |
270 | 318.8 | 3 | 7800 | 2124 | 1 | 5.598422 | 5.764564 | 8.961879 | 7.661057 | |
225 | 294.2 | 3 | 6003 | 1768 | 0 | 5.416101 | 5.68426 | 8.700015 | 7.477604 | |
150 | 208 | 4 | 5218 | 1732 | 0 | 5.010635 | 5.337538 | 8.55987 | 7.457032 | |
247 | 239.7 | 3 | 9425 | 1440 | 1 | 5.509388 | 5.479388 | 9.151121 | 7.272398 | |
275 | 294.1 | 3 | 6114 | 1932 | 0 | 5.616771 | 5.68392 | 8.718336 | 7.566311 | |
230 | 267.4 | 3 | 6710 | 1932 | 0 | 5.438079 | 5.588746 | 8.811355 | 7.566311 | |
343 | 359.9 | 3 | 8577 | 2106 | 1 | 5.83773 | 5.885826 | 9.05684 | 7.652546 | |
477.5 | 478.1 | 7 | 8400 | 3529 | 1 | 6.168564 | 6.16982 | 9.035987 | 8.16877 | |
350 | 355.3 | 4 | 9773 | 2051 | 1 | 5.857933 | 5.872962 | 9.187379 | 7.626083 | |
230 | 217.8 | 4 | 4806 | 1573 | 1 | 5.438079 | 5.383577 | 8.47762 | 7.36074 | |
335 | 385 | 4 | 15086 | 2829 | 0 | 5.81413 | 5.953243 | 9.621523 | 7.947679 | |
251 | 224.3 | 3 | 5763 | 1630 | 1 | 5.525453 | 5.412984 | 8.659213 | 7.396335 | |
235 | 251.9 | 4 | 6383 | 1840 | 1 | 5.459586 | 5.529032 | 8.761394 | 7.517521 | |
361 | 354.9 | 4 | 9000 | 2066 | 1 | 5.888878 | 5.871836 | 9.10498 | 7.633369 | |
190 | 212.5 | 4 | 3500 | 1702 | 0 | 5.247024 | 5.358942 | 8.160519 | 7.439559 | |
360 | 452.4 | 4 | 10892 | 2750 | 1 | 5.886104 | 6.114567 | 9.295784 | 7.919356 | |
575 | 518.1 | 5 | 15634 | 3880 | 1 | 6.35437 | 6.250168 | 9.657204 | 8.263591 | |
209.001 | 289.4 | 4 | 6400 | 1854 | 1 | 5.342339 | 5.66781 | 8.764053 | 7.525101 | |
225 | 268.1 | 2 | 8880 | 1421 | 0 | 5.416101 | 5.59136 | 9.091557 | 7.259116 | |
246 | 278.5 | 3 | 6314 | 1662 | 1 | 5.505332 | 5.629418 | 8.750525 | 7.415777 | |
713.5 | 655.4 | 5 | 28231 | 3331 | 1 | 6.570182 | 6.485246 | 10.24818 | 8.111028 | |
248 | 273.3 | 4 | 7050 | 1656 | 1 | 5.513429 | 5.61057 | 8.860783 | 7.41216 | |
230 | 212.1 | 3 | 5305 | 1171 | 0 | 5.438079 | 5.357058 | 8.576406 | 7.065613 | |
375 | 354 | 5 | 6637 | 2293 | 1 | 5.926926 | 5.869297 | 8.800415 | 7.737616 | |
265 | 252.1 | 3 | 7834 | 1764 | 1 | 5.57973 | 5.529826 | 8.966228 | 7.475339 | |
313 | 324 | 3 | 1000 | 2768 | 0 | 5.746203 | 5.780744 | 6.907755 | 7.92588 | |
417.5 | 475.5 | 4 | 8112 | 3733 | 0 | 6.034285 | 6.164367 | 9.0011 | 8.224967 | |
253 | 256.8 | 3 | 5850 | 1536 | 1 | 5.53339 | 5.548297 | 8.674197 | 7.336937 | |
315 | 279.2 | 4 | 6660 | 1638 | 1 | 5.752573 | 5.631928 | 8.803875 | 7.401231 | |
264 | 313.9 | 3 | 6637 | 1972 | 1 | 5.575949 | 5.749074 | 8.800415 | 7.586803 | |
255 | 279.8 | 2 | 15267 | 1478 | 0 | 5.541264 | 5.634075 | 9.633449 | 7.298445 | |
210 | 198.7 | 3 | 5146 | 1408 | 1 | 5.347107 | 5.291796 | 8.545975 | 7.249926 | |
180 | 221.5 | 3 | 6017 | 1812 | 1 | 5.192957 | 5.400423 | 8.702344 | 7.502186 | |
250 | 268.4 | 3 | 8410 | 1722 | 1 | 5.521461 | 5.592478 | 9.037177 | 7.451241 | |
250 | 282.3 | 4 | 5625 | 1780 | 1 | 5.521461 | 5.64297 | 8.634976 | 7.484369 | |
209 | 230.7 | 4 | 5600 | 1674 | 1 | 5.342334 | 5.441118 | 8.630522 | 7.422971 | |
258 | 287 | 4 | 6525 | 1850 | 1 | 5.552959 | 5.659482 | 8.783396 | 7.522941 | |
289 | 298.7 | 3 | 6060 | 1925 | 1 | 5.666427 | 5.69944 | 8.709465 | 7.562681 | |
316 | 314.6 | 4 | 5539 | 2343 | 0 | 5.755742 | 5.751302 | 8.619569 | 7.759187 | |
225 | 291 | 3 | 7566 | 1567 | 0 | 5.416101 | 5.673323 | 8.931419 | 7.356918 | |
266 | 286.4 | 4 | 5484 | 1664 | 1 | 5.583496 | 5.65739 | 8.60959 | 7.41698 | |
310 | 253.6 | 6 | 5348 | 1386 | 1 | 5.736572 | 5.535758 | 8.584478 | 7.234177 | |
471.25 | 482 | 5 | 15834 | 2617 | 1 | 6.155389 | 6.177944 | 9.669915 | 7.869784 | |
335 | 384.3 | 4 | 8022 | 2321 | 1 | 5.81413 | 5.951424 | 8.989944 | 7.749753 | |
495 | 543.6 | 4 | 11966 | 2638 | 1 | 6.204558 | 6.298213 | 9.389825 | 7.877776 | |
279.5 | 336.5 | 4 | 8460 | 1915 | 1 | 5.633002 | 5.818598 | 9.043104 | 7.557473 | |
380 | 515.1 | 4 | 15105 | 2589 | 1 | 5.940171 | 6.244361 | 9.622781 | 7.859027 | |
325 | 437 | 4 | 10859 | 2709 | 0 | 5.783825 | 6.079933 | 9.292749 | 7.904335 | |
220 | 263.4 | 3 | 6300 | 1587 | 1 | 5.393628 | 5.573674 | 8.748305 | 7.369601 | |
215 | 300.4 | 3 | 11554 | 1694 | 0 | 5.370638 | 5.705115 | 9.354787 | 7.434848 | |
240 | 250.7 | 3 | 6000 | 1536 | 1 | 5.480639 | 5.524257 | 8.699514 | 7.336937 | |
725 | 708.6 | 5 | 31000 | 3662 | 0 | 6.586172 | 6.563291 | 10.34174 | 8.205765 | |
230 | 276.3 | 3 | 4054 | 1736 | 1 | 5.438079 | 5.621487 | 8.307459 | 7.459339 | |
306 | 388.6 | 2 | 20700 | 2205 | 0 | 5.723585 | 5.962551 | 9.937889 | 7.698483 | |
425 | 252.5 | 3 | 5525 | 1502 | 0 | 6.052089 | 5.531411 | 8.617039 | 7.314553 | |
318 | 295.2 | 4 | 92681 | 1696 | 1 | 5.762052 | 5.687653 | 11.43692 | 7.436028 | |
330 | 359.5 | 3 | 8178 | 2186 | 1 | 5.799093 | 5.884714 | 9.009203 | 7.689829 | |
246 | 276.2 | 4 | 5944 | 1928 | 1 | 5.505332 | 5.621125 | 8.690138 | 7.564239 | |
225 | 249.8 | 3 | 18838 | 1294 | 0 | 5.416101 | 5.52066 | 9.843632 | 7.165493 | |
111 | 202.4 | 4 | 4315 | 1535 | 1 | 4.70953 | 5.310246 | 8.369853 | 7.336286 | |
268.125 | 254 | 3 | 5167 | 1980 | 1 | 5.591453 | 5.537334 | 8.550048 | 7.590852 | |
244 | 306.8 | 4 | 7893 | 2090 | 1 | 5.497168 | 5.726196 | 8.973732 | 7.644919 | |
295 | 318.3 | 3 | 6056 | 1837 | 1 | 5.686975 | 5.762994 | 8.708805 | 7.515889 | |
236 | 259.4 | 3 | 5828 | 1715 | 0 | 5.463832 | 5.558371 | 8.670429 | 7.447168 | |
202.5 | 258.1 | 3 | 6341 | 1574 | 0 | 5.31074 | 5.553347 | 8.754792 | 7.361375 | |
219 | 232 | 2 | 6362 | 1185 | 0 | 5.389072 | 5.446737 | 8.758098 | 7.077498 | |
242 | 252 | 4 | 4950 | 1774 | 1 | 5.488938 | 5.529429 | 8.507143 | 7.480992 |
lassess is the only significant variable
DATA SET 300 349.1 4 6126 2438 1 5.703783 5.855359 8.720297 7.798934 370 351.5 3 9903...
Modify the data for both Carnes and Kreuger to ... 1) Create a violently left-skewed data set for Carnes 2) Create a sweetly symmetric data set for Kruger that is leptokuretic (don't grade me on my spelling) Where ... the data sets have the same RANGE and similar MEANS 3) Create a third data set (Benson Mega-Diffusers) that is platykuretic but whose mean and range is not the same at the other two data sets. Carnes 3-Way Diffuser Airflow (ft^3/s)...
Using the Wilcoxon Rank Sum Test, examine the following data for evidence at the .02 level that the two populations are different. A B 225 157 237 168 268 223 273 231 309 240 314 246 317 265 333 272 339 285 344 302 383 312 394 337 1.Find the rank sum (W) for column A. 2.What's the value of the test statistic (Z)? 3.What's the p-value? 4.What is the correct decision?
I need help with computing minitab. Minitab table given (refered to as Data:Current.mtw in the question) Phosphorus Type Glass Type Current uA 1 1 280 1 1 290 1 1 285 2 1 300 2 1 310 2 1 295 3 1 290 3 1 285 3 1 290 1 2 230 1 2 235 1 2 240 2 2 260 2 2 240 2 2 235 3 2 220 3 2 225 3 2 230 1. An article in...
Bidder Distribution Hub 1 2 3 4 A 190 175 125 230 B 150 235 155 220 C 210 225 135 260 D 170 185 190 280 E 220 190 140 240 F 270 200 130 260 a. Develop the network of the problem. (1 Marks) b. Formulate the problem as a linear programming problem. (2 Marks) c. Solve assignment that minimizes total cost. (2 Marks)
Response with lines drawn is shown as the second graph, both graphs are the exact same. ANSWER PART (a) open-loop transient response A PID controller for a process is to be tuned by carrying out an test. The system control temperature varies from 25 °C to 300 °C with a 200 °C setpoint. The output of the PID controller is a heater control voltage ranging from 0 VAC to 240 VAC. The test is started by having a 150 VAC...
Response with lines drawn is shown as the second graph, both graphs are the exact same. ANSWER PART (a) open-loop transient response A PID controller for a process is to be tuned by carrying out an test. The system control temperature varies from 25 °C to 300 °C with a 200 °C setpoint. The output of the PID controller is a heater control voltage ranging from 0 VAC to 240 VAC. The test is started by having a 150 VAC...
Question 1- Stages of production ؟ Inputs of labor Total Product (TPL) Marginal product of labor (MPL) Average product of labor (APL) Stages of production 0 0 — — 1 60 2 110 3 150 4 185 5 210 6 225 7 230 8 235 9 230
AFC $300 150 100 75 AVC $100 75 70 73 T Outpuit 1 2 3 4 5 6 7 8 9 10 60 80 ATC $400 225 170 148 140 140 146 156 171 190 MC $100 50 60 80 110 140 180 230 290 360 90 50 43 103 38 33 30 119 138 160 The accompanying table shows cost data for a firm that is selling in a purely competitive market. If the market price for the firm's...
What would the sum of (X+1) be for the following data set? 4, 6, 0, 3, and 2 a. 100 b.20 c.15 d.10 What would the sum of (X+1) squared be for the following data set? 4, 6, 0, 3, and 2 a. 65 b. 20 c. 225 d.100
Hi it's python I imported a data which are so many words in txt and I arranged and reshaped with alphabetically both rows and columns I was successful with these steps but I am stuck with next step below is my code and screenshot import numpy as np import pandas as pd data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None) df_input=pd.DataFrame(data) df_output=pd.DataFrame(np.arange(676).reshape((26,26)), index = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'], columns = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']) df_output.index.name="Start" df_output.columns.name="End" df_output This below screen shot is what I have to find I have to find each word...