The fundamental concept of data science is drawn from many fields that study data analytics. Fundamental concept: Extracting useful knowledge from data to solve business problems can be treated systematically by following a process with reasonably will-defined stages.
Data science is growing at a rapid speed so I have come up with some Data Science MCQs with answers. These data science MCQs are important for you if you are a data science student or someone who has data science as the subjects.
1. _____ useful knowledge from data to solve business problems can be treated systematically by following a process with reasonably well-defined stages.?
- Extracting
- Preparing
- Prescribing
- None of the above
Answer: 1
2. ______ answers the question "What has happened?
- Descriptive analytics
- Predictive analytics
- Prescriptive analytics
- None
Answer: 1
3. ______ answers the question "What will happen?"
- Descriptive analytics
- Predictive analytics
- Prescriptive analytics
- None
Answer: 2
4. _______ answers the question "How can we make it happen?"
- Descriptive analytics
- Predictive analytics
- Prescriptive analytics
- None
Answer: 3
5. ______ is most important language for Data Science.
- Java
- Ruby
- R
- None of the mentioned
Answer: 3
6. _____ phase of the data analytics lifecycle usually takes the longest time.
- Phase 2: Data Preparation
- Phase 3: Model Planning
- Phase 4: Model Building
- Phase 5: Communicate Results
Answer: 1
7. When data are collected in a statistical study for only a portion or subset of all elements of interest we are using ______ .
- Sample
- Parameter
- Population
- None
Answer: 1
8. In Statistics, a population consists of _______ .
- All People living in a country.
- All People living in the city are under study.
- All subjects or objects whose characteristics are being studied.
- None of the above.
Answer: 3
9. The strength (degree) of the correlation between a set of independent variables X and a dependent variable Y is measured by ______ .
- Coefficient of Correlation
- Coefficient of Determination
- Standard error of estimate
- All of the above
Answer: 1
10. Correlation Coefficient values lies between _____ .
- -1 and +1
- 0 and 1
- -1 and 0
- None of these
Answer: 1
11. In correlation, both variables are always _______ .
- Random
- Non Random
- Same
- None
Answer:1
12. If two variables oppose each other then the correlation will be ______ .
- Positive Correlation
- Zero Correlation
- Perfect Correlation
- Negative Correlation
Answer:4
13. A perfect negative correlation is signified by ______ .
- 0
- 1
- 0.5
- -1
Answer: 4
14. If X and Y are independent to each other, the coefficient of correlation is ______ .
- -1
- 0
- +1
- None
Answer: 1
15. If the scatter diagram is drawn the scatter points lie on a straight line then it indicate _____ .
- Regression
- Skewness
- No correlation
- Perfect correction
Answer: 3
16. ______ is the major assumption is a linear regression model.
- The independent variables are numeric variables.
- There is only one dependent variable
- The relationship between the independent and dependent variable is linear .
- The error term is a normally distributed random variable with mean zero and constant variance.
Answer: 3
17. _______ input (independent) variables are in used a simple linear regression model.
- 1
- 2
- 3
- Depends on the number of features/attributes involved Bottom of Form.
Answer: 1
18. ____ of the following is not a step in data analysis.
- Obtain the data
- Clean the data
- EDA
- None of the above
Answer: 4
19. Regression analysis ______ .
- Establishes a relationship between two variables.
- Establishes cause and effect.
- Measures growth.
- Measures the demand for a good.
Answer: 1
20. The dependent variable is also called ______ .
- Regression
- Regressand
- Continuous variable
- Independent
Answer: 2
21. The dependent variable is also called ______ .
- Regressor
- Predictand variable
- Explained variable
- All of these