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# Linear Programming Examples Quizzes Online MCQs PDF Download eBook - 23

Practice Linear Programming Examples quiz questions, linear programming examples multiple choice questions and answers PDF to prepare applied math exam worksheet 23 for online certificate programs. Practice "Linear Programming An Introduction" quiz with answers, linear programming examples Multiple Choice Questions (MCQ) to solve mathematics test with answers for online business degree. Free linear programming examples MCQs, single payment computations, linear functions in maths, linear programming examples test prep for online BBA business administration.

"The objective of linear programming for an objective function is to", linear programming examples Multiple Choice Questions (MCQ) with choices subset or proper set modeling, maximize or minimize, row or column modeling, and adjacent modeling for online bachelor degree programs in business administration. Practice linear programming an introduction questions and answers with free online certification courses for online college courses for business management.

Linear Programming Examples Quiz

MCQ: The objective of linear programming for an objective function is to

1. maximize or minimize
2. subset or proper set modeling
3. row or column modeling

A

Linear Functions in Maths Quiz

MCQ: The purchase cost is 30,000 and the depreciation is 5,000 then the depreciation function is

1. V = ƒ(t) = 30000 - 5000t
2. V = ƒ(t) = 5000t + 30000
3. V = ƒ(t) = 30000t - 5000t
4. V = ƒ(t) = 30000t + 5000t

A

Single Payment Computations Quiz

MCQ: The interest rate per year is 16 and the compounding occurs every quarter then interest rate per compounding period is

1. 0.4
2. 0.04
3. 40
4. 0.004

B

Linear Functions in Maths Quiz

MCQ: The total revenue is \$40,000 USD, the variable cost is \$10,000 USD and the fixed cost is \$40,000 USD then the profit or loss is

1. −\$10000
2. \$10,000
3. \$90,000
4. \$70,000

A

Introduction to Linear Programming Quiz

MCQ: The specific combination of decision variables to specify non-negativity and structural constraints is classified as

1. optimal solution candidates
2. minimal solution candidate
3. maximum solution candidate
4. ordinate solution candidate

A