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
purposes.
7. Submission: Submit your ANS before the time expires. Late submissions might
not be accepted.
,1. Which of the following best describes the primary purpose
of forecasting in business?
- A. To manage daily operations
- B. To predict future trends and outcomes based on historical
data
- C. To develop new products
- D. To conduct market research
- ANS: B
- Rationale: The primary purpose of forecasting in
business is to predict future trends and outcomes based on
historical data, helping organizations make informed decisions.
, 3. Which of the following is a key component of a regression
analysis?
- A. Identifying decision nodes
- B. Conducting market research
- C. Developing new products
- D. Estimating the relationship between dependent and
independent variables
- ANS: D
- Rationale: A key component of regression analysis is
estimating the relationship between dependent and independent
variables, helping to predict future outcomes based on
historical data.
Fill-in-the-Blank Questions
4. The __________ method is used to forecast future values
by averaging past observations.
- ANS: Moving average
- Rationale: The moving average method is used to
forecast future values by averaging past observations,
smoothing out short-term fluctuations and highlighting longer-
term trends.
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