Exam 35: Linear Inequalities
Exam 1: Introduction to Business Mathematics and Statistics10 Questions
Exam 2: Sampling and Data Collection10 Questions
Exam 3: Data and Their Accuracy10 Questions
Exam 4: Frequency Distributions and Charts10 Questions
Exam 5: General Charts and Graphs10 Questions
Exam 6: Arithmetic Mean10 Questions
Exam 7: Median10 Questions
Exam 8: Mode and Other Measures of Location10 Questions
Exam 9: Measures of Dispersion and Skewness10 Questions
Exam 10: Standard Deviation10 Questions
Exam 11: Quantiles and the Quartile Deviation10 Questions
Exam 12: Linear Functions and Graphs10 Questions
Exam 13: Regression Techniques10 Questions
Exam 14: Correlation Techniques10 Questions
Exam 15: Time Series Model10 Questions
Exam 16: Time Series Trend10 Questions
Exam 17: Seasonal Variation and Forecasting10 Questions
Exam 18: Index Relatives10 Questions
Exam 19: Composite Index Numbers10 Questions
Exam 20: Special Published Indices10 Questions
Exam 21: Interest and Depreciation10 Questions
Exam 22: Present Value and Investment Appraisal10 Questions
Exam 23: Annuities10 Questions
Exam 24: Functions and Graphs10 Questions
Exam 25: Linear Equations10 Questions
Exam 26: Quadratic and Cubic Equations10 Questions
Exam 27: Differentiation and Integration10 Questions
Exam 28: Cost, Revenue and Profit Functions10 Questions
Exam 29: Set Theory and Enumeration10 Questions
Exam 30: Introduction to Probability9 Questions
Exam 31: Conditional Probability and Expectation9 Questions
Exam 32: Combinations and Permutations10 Questions
Exam 33: Binomial and Poisson Distributions10 Questions
Exam 34: Normal Distribution10 Questions
Exam 35: Linear Inequalities10 Questions
Exam 36: Matrices10 Questions
Exam 37: Inventory Control10 Questions
Exam 38: Network Planning and Analysis10 Questions
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If a manufacturing process is defined by two constraints (time and material), what name is given to the process by which output can be maximised?
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In a linear programming problem how can the optimum, maximising, solution be identified?
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D
Which of the following statements about linear inequalities is NOT true?
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A shipping company has two sizes of box (l & s). If the large size is 4 times the volume of the smaller, which of the following inequalities defines the feasibility region for packing a container?
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A manufacturing firm can make 2 products (a & b). If the feasibility region for their work is given by the inequality 34a + 23b < 600 what is the maximum number of product a that can be made?
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In a linear programming problem how can the optimum, minimising, solution be identified?
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A painting firm in Amman, Jordan can paint x number of walls and y number of windows each week. If it takes 4 hours to paint a wall and 2 hours to paint a window, and 2 painters are employed, each working 35 hours which of the options defines the feasibility region for this work?
(Multiple Choice)
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Which of the following statements concerning a linear programming problem is NOT true?
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Which of the following options is NOT an example of an inequality?
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