Page 222 - Data Science class 10
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SECTION B: SUBJECTIVE TYPE QUESTIONS
Answer any 3 out of the given 5 questions on Employability Skills. (2 × 3 = 6 marks)
Answer each question in 20 – 30 words.
Q. 6. Feedback is the final component and one of the most important factors in the process of communication. Give two
reasons to justify why feedback is important.
Q. 7. In SMART goals, what does ‘R’ stand for? Explain.
Q. 8. What will happen if you overcharge the battery of a laptop?
Q. 9. Differentiate between wage employment and self-employment.
Q. 10. Explain the term: Organic farming
Answer any 4 out of the given 6 questions in 20 – 30 words each. (2 × 4 = 8 marks)
Q. 11. A survey of 20 people (10 kids and 10 adults) was taken on the type of food they like to snack. The following responses
were recorded:
● 7 kids liked pizza while the other kids preferred burger
● 5 adults liked burger while the other adults preferred pizza
Based on the information given above, build a two-way frequency table.
Q. 12. Explain uniform distribution with the help of an example.
Q. 13. What is survivorship bias? Give an example.
Q. 14. Do you think it is helpful to standardize the values of a normal distribution by converting them into z-score? Explain
Q. 15. Consider the data set 27,22,44,35,14,34,32
Find the percentile for the element 22
Q. 16. Confidential data is maintained in the form of digital as well as physical copies. Suggest two ways in which we can
discard the physical copies of confidential data.
Answer any 3 out of the given 5 questions in 50 – 80 words each. (4 × 3 = 12 marks)
Q. 17. Ashish downloaded a dataset from Kaggle and now wants to use parts of it for data analysis. Explain him the term
‘subset’ and the different ways of subsetting the data.
Q. 18. Manya, a student of class 10 was learning the topic “Statistical Problem Solving Process”. She did not understand the
concept and had trouble understanding it. Help her by explaining the process with a good example.
Q. 19. “Given a significantly large sample size from a population with finite variance, the mean of all samples from same set of
population will be roughly equal to the mean of the population”.
What is this statement about? Explain it with the help of an example.
Q. 20. We can perform data merging by implementing data joins on the databases in frame. How many types of joins are
there? Explain.
Q. 21. Data analytics raises many ethical issues, especially when anyone starts making money from their data externally for the
purposes different from the ones for which the data was initially collected. While there are no specific rules for ethical
guidelines around data analysis, there are a few principles to agree upon. Explain any four of such principles.
220 Touchpad Data Science-X

