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1. Data Science is a multi-disciplinary field that includes the concepts from:

Computer Science
Statistics
Data Analysis
All of the above
2. Given a problem, what kind of data is required to solve it. is following type of data research:
Hypothesis Driven
Data Driven
Both
None
3. Data that has predefined structures. e.g. tables, spreadsheets, or relational databases is known as?
Structured Data
Unstructured Data
Quantitative Data
Categorical Data
4. Data that can be labeled or divided into groups. e.g. height, gender, hair color etc. is known as?
Structured Data
Unstructured Data
Quantitative Data
Categorical Data
5. Massive datasets, known as Big Data is the data that is also defined by 3V. This data contains greater VARIETY arriving in increasing VOLUMES and with ever-higher _______________. This dataset cannot fit in the memory of a single machine.
VOICE
VOCIFEROUS
VELOCITY
VERNACULAR
6. Which Centrality measure is useful to characterize symmetric distributions without outliers and helps in calculating average?
Geometric Mean
Median
Mode
Arithmetic Mean
7. What is exact middle value among a dataset and is useful for skewed distribution or data with outliers?
Geometric Mean
Median
Mode
Arithmetic Mean
8. It is useful for averaging ratios. It is always less than arithmetic mean. What it is?
Geometric Mean
Standard Deviation
Mode
Pearson Coefficient
9. Which theory provides a framework for reasoning about likelihood of events?
Data Science
Probability
Statistics
Modeling
10. What is Data Mining?
Process of automatically discovering useful information in the large data repositories
Database Management
Both (A) and (B)
None of the above

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