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Questions:

1. Define cross-sectional data. Give an example.
2. Define skewness.
3. Define equally likely events with an example.
4. What do you mean by regression analysis?
5. What are marginal and conditional frequency distributions?
6. Point out the guidelines while data is classified.
7. Which is the best measure of dispersion? Explain why.
8. What are the requisites of a good average?
9. What is the importance of correlation?
10. Distinguish between stratified random sampling and cluster sampling.
11. What is regression coefficient?
12. What do you understand by graphical representation? What are the various techniques?
13. Define measure of central tendency. Explain its various types.
14. Define correlation and its types. What is the difference between positive and negative correlation?
15. What are the principles of sampling? Write a short note on non-probability sampling method.