Data Science MCQ(Multiple Choice Questions) and Answers - letsbug

     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.?

  1.  Extracting
  2.  Preparing
  3.  Prescribing
  4.  None of the above

Answer: 1

2. ______ answers the question "What has happened?

  1. Descriptive analytics 
  2. Predictive analytics
  3. Prescriptive analytics
  4. None

Answer: 1

3. ______ answers the question "What will happen?"

  1. Descriptive analytics 
  2. Predictive analytics
  3. Prescriptive analytics 
  4. None

Answer: 2

4. _______ answers the question "How can we make it happen?"

  1. Descriptive analytics 
  2. Predictive analytics
  3. Prescriptive analytics
  4. None

Answer: 3

5. ______ is most important language for Data Science.

  1. Java
  2. Ruby
  3. R
  4. None of the mentioned

Answer: 3

6. _____ phase of the data analytics lifecycle usually takes the longest time.

  1. Phase 2: Data Preparation
  2. Phase 3: Model Planning
  3. Phase 4: Model Building
  4. 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 ______ .

  1. Sample 
  2. Parameter
  3. Population
  4. None

Answer: 1

8. In Statistics, a population consists of _______ .

  1. All People living in a country.
  2. All People living in the city are under study.
  3. All subjects or objects whose characteristics are being studied.
  4. 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 ______ . 

  1. Coefficient of Correlation 
  2. Coefficient of Determination
  3. Standard error of estimate
  4. All of the above

Answer: 1

10. Correlation Coefficient values lies between _____ .

  1. -1 and +1
  2. 0 and 1
  3. -1 and 0
  4. None of these

Answer: 1

11. In correlation, both variables are always _______ .

  1. Random
  2. Non Random
  3. Same 
  4. None

Answer:1

12. If two variables oppose each other then the correlation will be ______ .

  1. Positive Correlation
  2. Zero Correlation
  3. Perfect Correlation
  4. Negative Correlation

Answer:4

13. A perfect negative correlation is signified by ______ .

  1. 0
  2. 1
  3. 0.5
  4. -1

Answer: 4

14. If X and Y are independent to each other, the coefficient of correlation is ______ .

  1. -1
  2. 0
  3. +1
  4. None

Answer: 1

15. If the scatter diagram is drawn the scatter points lie on a straight line then  it indicate _____ . 

  1. Regression
  2. Skewness
  3. No correlation
  4. Perfect correction

Answer: 3

16. ______ is the major assumption is a linear regression model.

  1. The independent variables are numeric variables.
  2. There is only one dependent variable
  3. The relationship between the independent and dependent variable is linear .
  4. 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. 1
  2. 2
  3. 3
  4. Depends on the number of features/attributes involved Bottom of Form.

Answer: 1

18. ____ of the following is not a step in data analysis.

  1. Obtain the data 
  2. Clean the data
  3. EDA
  4. None of the above

Answer: 4

19. Regression  analysis ______ .

  1. Establishes a relationship between two variables.
  2. Establishes cause and effect.
  3. Measures growth.
  4. Measures the demand for a good.

Answer: 1

20. The dependent variable is also called ______ . 

  1. Regression 
  2. Regressand
  3. Continuous variable
  4. Independent

Answer: 2

21. The dependent variable is also called ______ .

  1. Regressor
  2. Predictand variable
  3. Explained variable 
  4. All of these

Answer: 1

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