1. Read All Questions Carefully: Make sure you understand each question.
2. Time Management: You have a specific amount of time to complete the exam.
Keep an eye on the clock and pace yourself.
3. Allowed Materials: Only use materials that are explicitly allowed. Unauthorized
materials can lead to disqualification.
4. ANS Format: Follow the required format for your ANS. For example, multiple-choice
questions might need you to select the best ANS, while essay questions require
detailed responses.
5. Academic Integrity: Adhere to the university's honor code. Any form of cheating or
plagiarism is strictly prohibited.
6. Technical Requirements: Ensure your computer and internet connection are
stable. For online exams, you might need a webcam and microphone for proctoring
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7. Submission: Submit your ANS before the time expires. Late submissions might not
be accepted.
,1. Which of the following describes a situation where
optimizing one metric can lead to diminishing returns or
negative impacts on another?
A) Pareto Efficiency
B) Trade-off
C) Linear Programming
D) Optimization
ANS: B) Trade-off
Rationale: A trade-off occurs when increasing one aspect
results in a decrease in another measure, illustrating the
balancing act in decision-making.
2. In which type of data visualization is information typically
presented in a hierarchical manner?
A) Pie Chart
B) Histogram
C) Tree Map
D) Line Chart
, Rationale: A Tree Map uses nested rectangles to display
hierarchical data, making it easy to visualize the relationships
between parts and wholes.
3. What is the primary purpose of linear programming in
decision-making?
A) To identify random relationships
B) To maximize or minimize a linear objective function
C) To create a nonlinear model
D) To determine average outcomes
ANS: B) To maximize or minimize a linear objective
function
Rationale: Linear programming is used in optimization
problems where a linear objective function is subject to linear
constraints.
4. Which statistical test is most appropriate for comparing
two means when the sample sizes are small and the data is
normally distributed?
A) Chi-square Test
B) t-Test
C) ANOVA
D) Z-Test
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