CUET-PG SERIES Commerce
Time Series Analysis
1 previous year questions.
Volume: 1 Ques
Yield: Medium
High-Yield Trend
1
2025 Chapter Questions 1 MCQs
01
PYQ 2025
medium
commerce ID: cuet-pg-
Which of the following statements are correct?
(A) When a cyclical pattern in data has a period of less than 1 year, the pattern in data is called seasonal variation
(B) When a cyclical pattern has a period more than 1 year, we refer to it as cyclical variation
(C) Seasonality is considered equivalent to forecasting
(D) Cyclical behaviour in business is also termed as business cycle
(A) When a cyclical pattern in data has a period of less than 1 year, the pattern in data is called seasonal variation
(B) When a cyclical pattern has a period more than 1 year, we refer to it as cyclical variation
(C) Seasonality is considered equivalent to forecasting
(D) Cyclical behaviour in business is also termed as business cycle
1
(A), (B) and (D) only
2
(A) and (C) only
3
(A), (B), (C) and (D)
4
(B), (C) and (D) only
About Time Series Analysis - CUET-PG
Time Series Analysis is a vital chapter for CUET-PG aspirants. Mastering the concepts covered in this chapter is essential for securing a top rank.
By rigorously practicing the previous year questions associated with this chapter, you can identify high-yield topics, understand the examiner's perspective, and boost your confidence during the actual exam.
Frequently Asked Questions
Why focus on Time Series Analysis PYQs?
Analyzing PYQs for this specific chapter reveals the most frequently tested concepts and the typical complexity of questions, allowing you to tailor your study plan efficiently.
How to best use this analysis?
Review the topic breakdown to see which sub-topics within Time Series Analysis carry the most weight. Then, tackle the questions iteratively to solidify your understanding.