Plagiarized Computer Programs while ( Odometer > 0 ) { cout << " Enter the Gallons: "; cin >> Gallons; Miles = Odometer - odometer; TotalM += Miles; TotalG += Gallons; MPG = Miles / Gallons; while ( Odometer > 0 ) { cout << " Enter the Gallons: "; cin >> G; Miles = O - o; TotalM += M; TotalG += G; MPG = M/ G; cout << "Odometer Gallons Miles\t MPG " <> Odometer; } 03/15/19 cout << "Odometer Gallons Miles\t MPG " <> O; } Margie Bleichman, Jean Cremins, Jill Keller 20
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Different Computer Programs while ( Odometer > 0 ) { cout << " Enter the Gallons: "; cin >> Gallons; Miles = Odometer - odometer; TotalM += Miles; TotalG += Gallons; MPG = Miles / Gallons; while ( odometer >0) { cout << "odometer, gallons, miles, mpg \n" << "--------- ------- ----- ---- \n" << " \n"; cout<< odometer<< " "; cout<< gallons<< " "; miles= odometer-oldodometer; cout << "Odometer Gallons Miles\t MPG " <> Odometer; cout<< miles<< " "; mpg = miles/gallons; cout<< mpg << endl; oldodometer=odometer; togallons+=gallons; cout << "Inter odometer reiding "<< endl; cin >> odometer; cout << "Inter gallons " << endl; cin >> gallons ; } } 03/15/19 Margie Bleichman, Jean Cremins, Jill Keller 21
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Example Contd. SALES Model Year Color Chevy 1990 red Chevy 1990 white Chevy 1990 blue Chevy 1991 red Chevy 1991 white Chevy 1991 blue Chevy 1992 red Chevy 1992 white Chevy 1992 blue Ford 1990 red Ford 1990 white Ford 1990 blue Ford 1991 red Ford 1991 white Ford 1991 blue Ford 1992 red Ford 1992 white Ford 1992 blue Madhavi Sales 5 87 62 54 95 49 31 54 71 64 62 63 52 9 55 27 62 39 CUBE Data Cube and OLAP Server DATA CUBE Model Year Color ALL ALL ALL chevy ALL ALL ford ALL ALL ALL 1990 ALL ALL 1991 ALL ALL 1992 ALL ALL ALL red ALL ALL white ALL ALL blue chevy 1990 ALL chevy 1991 ALL chevy 1992 ALL ford 1990 ALL ford 1991 ALL ford 1992 ALL chevy ALL red chevy ALL white chevy ALL blue ford ALL red ford ALL white ford ALL blue ALL 1990 red ALL 1990 white ALL 1990 blue ALL 1991 red ALL 1991 white ALL 1991 blue ALL 1992 red ALL 1992 white ALL 1992 blue Sales 942 510 432 343 314 285 165 273 339 154 199 157 189 116 128 91 236 183 144 133 156 69 149 125 107 104 104 59 116 110 17
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Dan Jurafsky ˆ = Nc P(c) N Training count(w, c) +1 ˆ P(w| c) = count(c)+ | V | Priors: P(f)= 3 4 1 P(g)= 4 Test Doc Words Class 1 fish smoked fish f 2 fish line f 3 fish haul smoked f 4 guitar jazz line g 5 line guitar jazz jazz V = {fish, smoked, line, haul, guitar, jazz} ? Choosing a class: P(f|d5)  3/4 * 2/14 * (1/14)2 * 1/14 ≈ 0.00003 25 Conditional Probabilities: (1+1) / (8+6) = 2/14 P(line|f) = P(guitar|f) = (0+1) / (8+6) = 1/14 P(jazz|f) = (0+1) / (8+6) = 1/14 P(line|g) = (1+1) / (3+6) = 2/9 P(guitar|g) = (1+1) / (3+6) = 2/9 P(jazz|g) = (1+1) / (3+6) = 2/9 P(g|d5)  1/4 * 2/9 * (2/9)2 * 2/9 ≈ 0.0006
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Universal Turing Machines (cont.)  A Universal Turing Machine (UTM) is capable of simulating an arbitrary Turing Machine M on an arbitrary input word w.  One possible UTM is a two-tape TM that may be described as:    The UTM simulates M by locating on the program tape the appropriate transition given the current state of M and the symbol on the work tape being scanned by its head When the transition is located, the UTM carries out the operation on the work tape There is a standard UTM equivalent to this two-tape UTM w    work tape Control Unit (M)    program tape
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A Matrix Organization Functional authority Project authority President President Farm FarmMachinery Machinery Division Division Production Production department department Legal Legal department department Engineering Engineering department department Accounting Accounting department department Project Project Alpha Alpha manager manager Production Production support support group group Legal Legal support support group group Engineering Engineering support support group group Accounting Accounting support support group group Project Project Beta Beta manager manager Production Production support support group group Legal Legal support support group group Engineering Engineering support support group group Accounting Accounting support support group group Project Project Gamma Gamma manager manager Production Production support support group group Legal Legal support support group group Engineering Engineering support support group group Accounting Accounting support support group group
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Jazz Idiom Students who complete a minor in jazz idiom will develop competency in music theory, an awareness of the historical, social, and musical relevance of jazz, and will attain performance fluency in both jazz improvisation and jazz arranging. QuickTime™ and aGIF decompressorare needed
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Carter Motor Company claims that its new sedan, the Libra, will average better than 30 miles per gallon in the city. Identify the type I error of the test. A. The error of failing to reject the hypothesis that the mean is 30 miles per gallon when it is actually greater than 30 miles per gallon. B. The error of rejecting the hypothesis that the mean is 30 miles per gallon when it really is 30 miles per gallon. C. The error of rejecting the hypothesis that the mean is more than 30 miles per gallon when it really is more than 30 miles per gallon. Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Slide 8- 6
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Carter Motor Company claims that its new sedan, the Libra, will average better than 30 miles per gallon in the city. Identify the type I error of the test. A. The error of failing to reject the hypothesis that the mean is 30 miles per gallon when it is actually greater than 30 miles per gallon. B. The error of rejecting the hypothesis that the mean is 30 miles per gallon when it really is 30 miles per gallon. C. The error of rejecting the hypothesis that the mean is more than 30 miles per gallon when it really is more than 30 miles per gallon. Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Slide 8- 7
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Production Method A delivery truck costs $20,000 and has an estimated residual value of $2,000 at the end of its estimated useful life of 90,000 miles. Assume the truck was driven 20,000 miles during year 1; 30,000 miles during year 2; 10,000 miles during year 3; 20,000 miles during year 4; and 10,000 miles during year 5. Depreciation Cost  Cost – Residual Value Estimated Units of Useful Life The unit of output or use should be $20,000 – $2,000  $0.20 per mile appropriate for 90,000 miles that asset Copyright © Cengage Learning. All rights reserved. 9–27
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Product Failure    Goodyear Tire Company has produced a new tire with an estimated mean lifetime mileage of 36,500 miles. Management also believes that the standard deviation is 5000 miles, and mileage is normally distributed. [Of course, negative miles make no sense, but that is unlikely since it negative values of more than 7 standard deviations from the mean.] Simulate the probability that a tire lasts more than 40,000 miles; more than 32,000 miles; more than 30,000 miles; and more than 28,000 miles. What tire mileage guarantee do you recommend if management wants no more than 10% of tires to fail the guaranteed amount? BA 452 Lesson C.2 Waiting Line Simulation 14
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SIZE OF MARS •• • • • Second smallest planet in the solar system   4th planet from the sun Radius = 2,106 miles Mars is currently 0.58 au away from Earth • 54.21 million miles • Ranges from 47 million miles to 249 million miles • Mars is currently 141.63 million miles from Sun • Ranges from 128 million miles to 154.8 million miles • 1.38 au to 1.67 au • Mass = 6.417x or 0.106 Earths
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