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GBA334 Final Exam Latest 2018
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<p>Question XX XXXXXXX: </p> <p>True </p> <p>False </p> <p>XXXXXXXX XX </p> <p>X XXXXXXX XXX XXXXXX how XXXX additional labor XXXXX XX XXXXXXX for a given week. XXXXXXXXXXXXX XXXXXXX XXXX only XXXX a maximum XX XX hours a week. The company XXXX produce at XXXXX 200 XXXXX of XXXXXXX X, XXX XXXXX XX XXXXXXX B, XXX XXX XXXXX of product X. XX X XXXX of work, worker X can produce 15 XXXXX XX product A, XX XXXXX of XXXXXXX B, and XX XXXXX of XXXXXXX C. Worker 2 can produce X units XX XXXXXXX X, XX units XX XXXXXXX X, and XX XXXXX of XXXXXXX X. XXXXXX 3 can XXXXXXX 20 XXXXX of XXXXXXX A, 15 units XX XXXXXXX B, XXX XX XXXXX XX XXXXXXX X. Worker X XXXXXXX a salary XX $50/hr, worker X demands a XXXXXX XX $40/hr, and XXXXXX 3 XXXXXXX a salary of $XX/hr.The company must choose how XXXX hours they should XXXXXXXX XXXX each XXXXXX XX meet XXXXX production XXXXXXXXXXXX XXX minimize XXXXX cost. </p> <p>Assuming this XX a linear programming XXXXXXX, XXXXX XX the following XX the XXXXXXXXX function? </p> <p>Question XX options: </p> <p>Maximize 40X1 + 45X2 + XXXX </p> <p>XXXXXXXX 40X1 + 45X2 + 50X3 </p> <p>XXXXXXXX XXXX + 40X2 + 45X3 </p> <p>Minimize XXXX + 40X2 + 45X3 </p> <p>XXXXXXXX XX </p> <p>The XXXXXXXXXX XXXXXXX XXX XXXX-XXXX side XXX right-hand XXXX of a greater-than-or-XXXXX-to constraint is XXXXXXXX to as XXXXXXXXXX. </p> <p>XXXXXXXX XX XXXXXXX: </p> <p>constraint </p> <p>slack </p> <p>surplus </p> <p>XXXXXX price </p> <p>none of the XXXXX </p> <p>XXXXXXXX 47 </p> <p>XXX average XXXXX XX a process XXX packaging XXXXXX is 1.1 ounces. XXXXXX XXX XXXXXX size XX 10. </p> <p>Using the XXXX in XXX table XXXXX, XXXX is the upper XXXXXXX XXXXX limit XXX the XXXXXX ranges? </p> <table> <tbody><tr> <td> <p>Sample Size </p></td><td> <p>XXXX Factor </p></td><td> <p>Upper XXXXX </p></td><td> <p>Lower XXXXX </p></td></tr> <tr> <td> <p>n </p></td><td> <p>A2 </p></td><td> <p>D4 </p></td><td> <p>D3 </p></td></tr> <tr> <td> <p>X </p></td><td> <p>1.880 </p></td><td> <p>3.XXX </p></td><td> <p>X </p></td></tr> <tr> <td> <p>3 </p></td><td> <p>X.XXX </p></td><td> <p>X.574 </p></td><td> <p>0 </p></td></tr> <tr> <td> <p>4 </p></td><td> <p>X.XXX </p></td><td> <p>2.XXX </p></td><td> <p>0 </p></td></tr> <tr> <td> <p>X </p></td><td> <p>0.XXX </p></td><td> <p>2.114 </p></td><td> <p>X </p></td></tr> <tr> <td> <p>6 </p></td><td> <p>0.483 </p></td><td> <p>2.004 </p></td><td> <p>X </p></td></tr> <tr> <td> <p>X </p></td><td> <p>X.419 </p></td><td> <p>1.XXX </p></td><td> <p>X.076 </p></td></tr> <tr> <td> <p>8 </p></td><td> <p>0.XXX </p></td><td> <p>1.XXX </p></td><td> <p>X.136 </p></td></tr> <tr> <td> <p>X </p></td><td> <p>X.337 </p></td><td> <p>X.816 </p></td><td> <p>X.184 </p></td></tr> <tr> <td> <p>10 </p></td><td> <p>0.308 </p></td><td> <p>X.777 </p></td><td> <p>0.XXX </p></td></tr> <tr> <td> <p>12 </p></td><td> <p>0.XXX </p></td><td> <p>1.716 </p></td><td> <p>X.XXX </p></td></tr> </tbody></table> <p> </p> <p>XXXXXXXX XX XXXXXXX: </p> <p>0.XXX </p> <p>X.XXX </p> <p>X.223 </p> <p>1.XXX </p> <p>None XX XXX above </p> <p>Question XX </p> <p>Bags of XXXXXXXX are sampled to ensure XXXXXX XXXXXX. The overall average XXX the XXXXXXX is 9 ounces. XXXX sample contains 25 XXXX. XXX XXXXXXXX deviation is XXXXXXXXX XX XX X ounces. XXX upper XXXXXXX chart limit (for XX.7% confidence) for XXX XXXXXXX would XX XXXXXXXXXX XXXXXX. </p> <p>XXXXXXXX 48 XXXXXXX: </p> <p>XX.X </p> <p>XX.X </p> <p>10.X </p> <p>7.2 </p> <p>X.4 </p> <p>Question XX </p> <p>One XXXXXXXXXX in waiting XXXX analysis XX XXXX it XX XXXXXXXXX difficult XX XXXXX a XXXXX on customer waiting time. </p> <p>Question 49 XXXXXXX: </p> <p>True </p> <p>False </p> <p>XXXXXXXX 50 </p> <p>XXXXXXXXXXX XXXXXXXX, XXXXXXXX XXXXXXX XXXXXXXXX __________. </p> <p>Question XX XXXXXXX: </p> <p>XXX XXXXXXXXXX </p> <p>are infeasible </p> <p>XXX degenerate </p> <p>XXXXXXX XXXXXXXXXX XXXX greater XXXXXXXXXXX in selecting XXX XXXXX XXXXXXXXX </p> <p>are unbounded </p> <p> </p> <p> </p> <p> </p>">
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