Question XX XXXXXXX:
XXXX
XXXXX
XXXXXXXX XX
A XXXXXXX can decide how XXXX XXXXXXXXXX XXXXX XXXXX XX acquire for a XXXXX week. XXXXXXXXXXXXX workers XXXX XXXX work a maximum XX 20 XXXXX a XXXX. XXX company XXXX XXXXXXX XX least XXX XXXXX XX product A, XXX units of product X, XXX 400 units of XXXXXXX X. In X hour of XXXX, XXXXXX X XXX produce 15 XXXXX XX product A, XX XXXXX of XXXXXXX B, and 30 units of product X. XXXXXX 2 can produce 5 XXXXX XX product A, 20 units XX XXXXXXX B, and XX XXXXX XX XXXXXXX C. Worker X can XXXXXXX 20 XXXXX of product X, XX XXXXX of product B, and 25 units of XXXXXXX X. XXXXXX X demands a XXXXXX of $50/hr, worker X demands a salary of $XX/XX, and XXXXXX X demands a XXXXXX of $XX/hr.The company must choose how many XXXXX they should XXXXXXXX XXXX XXXX worker XX meet their production requirements and XXXXXXXX labor XXXX.
Assuming this is a linear programming XXXXXXX, which of the following XX XXX XXXXXXXXX XXXXXXXX?
XXXXXXXX XX XXXXXXX:
Maximize XXXX + 45X2 + 50X3
Minimize 40X1 + XXXX + 50X3
XXXXXXXX XXXX + 40X2 + XXXX
Minimize 50X1 + XXXX + XXXX
XXXXXXXX 46
XXX difference between the left-hand side XXX XXXXX-XXXX side of a XXXXXXX-XXXX-or-XXXXX-XX XXXXXXXXXX is XXXXXXXX XX XX XXXXXXXXXX.
Question 46 options:
XXXXXXXXXX
slack
surplus
XXXXXX price
XXXX of the XXXXX
Question 47
XXX XXXXXXX range XX a process for packaging cereal XX X.1 XXXXXX. XXXXXX XXX sample size is XX.
XXXXX XXX XXXX in XXX table above, what is the XXXXX XXXXXXX chart limit XXX the sample ranges?
XXXXXX Size
Mean Factor
XXXXX Range
Lower XXXXX
n
A2
XX
2
X.880
3.XXX
0
X
X.XXX
2.XXX
4
0.729
X.282
5
0.XXX
1.XXX
0.136
9
0.184
10
X.308
1.777
0.223
12
0.266
1.716
X.284
XXXXXXXX 47 XXXXXXX:
X.777
None of the above
XXXXXXXX 48
Bags of pretzels are XXXXXXX XX ensure proper weight. XXX XXXXXXX average XXX the XXXXXXX is X XXXXXX. Each sample contains 25 XXXX. The standard deviation is estimated XX be 3 ounces. The upper XXXXXXX chart XXXXX (for XX.7% XXXXXXXXXX) for the average XXXXX be XXXXXXXXXX XXXXXX.
Question XX options:
XX.0
10.2
10.8
X.2
9.4
One XXXXXXXXXX in XXXXXXX line analysis XX XXXX it is sometimes difficult XX place a XXXXX XX customer waiting time.
Question 49 XXXXXXX:
True
XXXXXXXXXXX XXXXXXXX, multiple optimal XXXXXXXXX __________.
are unbalanced
XXX infeasible
are XXXXXXXXXX
provide management with XXXXXXX flexibility in selecting and XXXXX resources
XXX XXXXXXXXX