In time series analysis, the key components are the trend, cyclical, and irregular components. These components help us understand the behavior of the data over time. The trend component captures long-term movements, the cyclical component captures periodic fluctuations, and the irregular component accounts for random variations. Knowing these components helps in forecasting and understanding the underlying patterns in the data.
A time series consists of several components that represent different patterns within the data. Understanding these components is crucial for analyzing data over time. Let's examine the components of a time series:
Each of these components plays a critical role in time series analysis. The options provided in the question involve several choices of component combinations.
The correct answer is (A), (B) and (D) only because the Irregular, Cyclical, and Trend components are all standard components of a time series, while the Chronological component (C) is not typically recognized as a distinct component in time series analysis.
The components of a time series include:
(A) Irregular component: Represents random variations due to unforeseen factors, such as natural disasters, sudden market changes, or other unpredictable events that cannot be forecasted.
(B) Cyclical component: Represents periodic changes over time due to economic cycles, such as business cycles, that occur at regular intervals. These can last for several years and often reflect broader economic factors.
(D) Trend component: Represents the long-term movement in the data, which shows the general direction of the series over an extended period, whether upward or downward.
Option (C), "Chronological component," is not a standard component of time series analysis. Chronological data is used in time series, but it is not considered a distinct component.
Conclusion: Thus, the correct answer is (A), (B), and (D) only.
Variance of the following discrete frequency distribution is:
\[ \begin{array}{|c|c|c|c|c|c|} \hline \text{Class Interval} & 0-2 & 2-4 & 4-6 & 6-8 & 8-10 \\ \hline \text{Frequency (}f_i\text{)} & 2 & 3 & 5 & 3 & 2 \\ \hline \end{array} \]