Description
DATA ANALYSIS
Tutor Marked Assignments
Course Code: BECS-184
Assignment Code: Asst /TMA /2024-25
Total Marks: 100
Assignment One
Answer the following questions. Each question carries 20 marks 2 × 20 = 40
1. (a.) Compute and interpret the correlation coefficient for the following data:
X(Height) 12 10 14 11 12 9
Y (Weight) 18 17 23 19 20 15
(b) Explain step by step procedure for testing the significance of correlation coefficient.
2. (a.) What is meant by the term ‘mathematical modeling’? Explain with example the
various steps involved in mathematical modeling.
(b) What is logic? Why is it necessary to know the basics of logic in data analysis?
Assignment Two
Answer the following questions. Each question carries 12 marks.
5 X 12=60
3. Differentiate between Census and Survey data. What are the various stages involved in
planning and organizing the censuses and surveys?
4. Explain the following:
a. Z score
b. Snowball sampling techniques
c. Type I and type II errors
d. Normal distribution curve
5. a.) “Correlation does not necessarily imply causation” Elucidate.
b.) A study involves analysing variation in the retail prices of a commodity in three
principal cities-Mumbai, Kolkata and Delhi. Three shops were chosen at random in each
city and retail prices (in rupees) of the commodity were noted as given in the following
table:
Mumbai Kolkata Delhi
643 469 484
655 427 456
702 525 402
At significance level of 5%, check whether mean price of the commodity in the three
cities are significantly different. (Given F (critical) with 2 and 6 as numerator and
denominator degrees of freedom, respectively at 5% level of significance to be 5.14)
6. a.) What are the conditions when t test, F test or Z test are used?
b.) What is multivariate analysis? What are the important points to be kept in mind while
interpreting the results obtained from multivariate analysis.
7. Differentiate between:
a. Quantitative and Qualitative Research
b. Phenomenology and Ethnography
c. Observational and experimental method
d. Point estimate and interval estimat
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