Random and non random sampling-multiple regression model


Answer all the given questions. Part A to be answered in around 500 words each and part B to be answered in around 300 words each.

Part A:

Question 1: What do you mean by the term paradigm? How does it lead to convergent thinking? Give an account of Kuhn’s philosophy of science in this concern.

Question 2: Differentiate between random and non-random sampling? How would you choose a suitable sampling method? Give practical illustrations in support of your answer.

Section B:

Question 3: How do you interpret the coefficients of a multiple regression model? What is the relevance of R-square and how is it distinct from adjusted R-square?

Question 4: What is an index number? Compile a chart of the kinds of consumer price index numbers showing – the agency who prepares it, index formula, target group, groups of items covered and the weights given.

Question 5: Describe the concept of qualitative research. What tools and methods would you use to collect primary data beneath qualitative research?

Question 6: List the data sources covering the industrial sector, financial markets and the education sector.

Question 7: Make a difference on any three of the given below:

a) Ampling and non-sampling errors.
b) Time-series and cross-sectional data.
c) Inductivism and Hypothetico-Deduction (H-D) model.
d) Census and Sample survey technique with two examples of each.

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Econometrics: Random and non random sampling-multiple regression model
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