Match the List I with List II:

Techniques/ Analysis		Application
(A)	Time series analysis	(I)	Most Commonly recommended test  for uniformity model
(B)	Chi Square Test	(II)	Making predictions with reasonable confidence
(C)	Cluster analysis	(III)	Comparing distribution on 2-Dimesnional surfaces
(D)	Lorenz Curve	(IV)	It may be either agglomerative or divisive

Choose the correct answer from the options given below:

Correct option is A

1. A. Time Series Analysis is used for making predictions with reasonable confidence, aligning with II.
2. B. Chi Square Test is most commonly used for testing uniformity, fitting with I.
3. C. Cluster Analysis involves grouping data points, which can be either agglomerative or divisive, corresponding with IV.
4. D. Lorenz Curve is used to compare distributions, particularly in terms of inequality, aligning with III.

1. Time Series Analysis (II):
   Used to analyze data over time to identify trends and make predictions. It is widely applied in areas like economics, finance, and forecasting.
   

2. Chi Square Test (I):
   A statistical test to determine if there is a significant difference between observed and expected data, typically used for categorical variables.
   

3. Cluster Analysis (IV):
   A method of grouping objects based on similarity. It can be agglomerative (bottom-up) or divisive (top-down), widely used in market research and biology.
   

4. Lorenz Curve (III):
   A graphical representation of income or wealth distribution, showing inequality levels. The Lorenz Curve is used to calculate the Gini coefficient.