Data Analysis MCQ Quiz Questions with Answer PDF Download

Data Analysis MCQ Questions & Answer PDF | Data Analysis MCQ Online Quiz Questions / Data Analysis Important Questions

Data Analysis MCQ Quiz:  Candidate who are searching for Data analysis important questions are given below. Candidate kindly practice the below data analysis multiple choice questions regularly. Interested candidate spend your time in this blog. For applicants who are preparing for interview may use these below Data Analysis Questions. It will helpful for improve your knowledge as well as skills. Data Analysis is very good career opportunity for candidate. Data analysts rely on skills like programming in R or Python, querying databases with SQL, and performing statistical analysis. Bachelor degree is needed for entry level jobs and Strong mathematics and analysis skills are need for data analysis. So, candidates regularly learn the lots of basic information in this field. In this page, we have to described about the Data Analysis MCQ Questions/Data Analysis objective questions and answer/Data Analysis online quiz questions are given below.

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Data Analysis Multiple Choice Questions and Answers PDF

1.Which of the following is not a major data analysis approaches?

  1. Business Intelligence
  2. Predictive Intelligence
  3. Data Mining
  4. Text Analytics

Answer: Predictive Intelligence

2. ____________ is the cyclical process of collecting and analyzing data during a research study.

  1. Constant analysis
  2. Extremis Analysis
  3. Interim Analysis
  4. All of the above

Answer: Interim Analysis

3._______ are the basic building blocks of qualitative data.

  1. Data chunk
  2. Categories
  3. Numeric figures
  4. None of the above

Answer: Categories

4.The Process of describing the data that is huge and complex to store and process is known as ______

  1. Analytics mining
  2. Big data
  3. Data cleaning
  4. None of the above

Answer: Big data

5.In descriptive statistics, data from the entire population or a sample is summarized with ___.

  1. Decimal descriptor
  2. Numerical descriptor
  3. Integer descriptor
  4. All of the above

Answer: Numerical descriptor

6. Data Analysis is a process of?

  1. inspecting data
  2. transforming data
  3. cleaning data
  4. All of the above

Answer: All of the above

7. A good data analytics solution includes a viable self-service ______.

  1. Data warehouse
  2. Data mining
  3. Data wrangling
  4. None of the above

Answer: Data wrangling

8.  To glean insights from the data, many analysts and data scientists rely on _________________.

  1. Data warehouse
  2. Data visualization
  3. Data mining
  4. All of the above

Answer: Data visualization

9. ______________ refers to the ability to turn your data useful for business.

  1. Velocity
  2. Variety
  3. Value
  4. None of the above

Answer: Value

10. Correlation is the relationship between two variables_____________

  1. Two
  2. One
  3. Zero
  4. None

Answer: Two

11.In descriptive statistics, data from the entire population or a sample is summarized with ?

  1. numerical descriptors
  2. integer descriptors
  3. integer descriptors
  4. decimal descriptors

Answer: numerical descriptors

12.How many main statistical methodologies are used in data analysis?

  1. 3
  2. 2
  3. 4
  4. 5

Answer: 2

13. The branch of statistics which deals with development of particular statistical methods is classified as

  1. economic statistics
  2. industry statistics
  3. applied statistics
  4. None

Answer: applied statistics

14. By 2025, the volume of data will increase to_______________

  1. TB
  2. YB
  3. ZB
  4. EB

Answer: ZB

15. Alternative Hypothesis is also called as?

  1. Simple Hypothesis
  2. Research Hypothesis
  3. Null Hypothesis
  4. None of the mentioned above

Answer: Research Hypothesis

16.Data Analysis is defined by the statistician?

  1. Hans Peter Luhn
  2. William S.
  3. Gregory Piatetsky-Shapiro
  4. John Tukey

Answer: John Tukey

17. Amongst which of the following is / are not a major data analysis approach?

  1. Business Intelligence
  2. Text Analytics
  3. Predictive Intelligence
  4. Data Mining

Answer: Predictive Intelligence

18. For each value of the _____________ the distribution of the dependent variable must be normal. 

  1. Intermediate variable
  2. Depended variable
  3. Independent variable
  4. None of the above

Answer: Independent variable

19. Linear-regression models are relatively simple and provide an easy-to-interpret mathematical formula that can generate ___.

  1. Interpretation
  2. Predictions
  3. Conclusion
  4. None of the above

Answer: Predictions

20. Data Analysis is a process of________________

  1. Data Cleaning
  2. Transforming of data
  3. Inspecting data
  4. All of the above

Answer: All of the above

21.Amongst which of the following is / are the applications of Linear Regression________________

  1. Behavioral
  2. Social sciences
  3. Biological
  4. All of the above

Answer: All of the above

22. Least Square Method uses ________________

  1. Linear sequence
  2. Linear regression
  3. Linear polynomial
  4. None of the above

Answer: Linear regression

23.____________ are used when we want to visually examine the relationship between two quantitative variables.

  1. Scatterplot
  2. Bar graph
  3. Line graph
  4. Pie chart

Answer: Bar graph

24. A Linear Regression model’s main aim is to find the best fit linear line and the ___ of intercept and coefficients such that the error is minimized.

  1. Optimal values
  2. Linear polynomial
  3. Linear line
  4. None of the mentioned above

Answer: Optimal values

25.The process of quantifying data is referred to as ____________

  1. Decoding
  2. Enumeration
  3. Structure
  4. Coding

Answer: Enumeration

26. Amongst which of the following is / are the branch of statistics which deals with the development of statistical methods is classified as_____________

  1. Economic statistics
  2. Industry statistics
  3. Applied statistics
  4. None of the mentioned above

Answer: Applied statistics

27. Amongst which of the following is / are the true about regression analysis?

  1. Describes associations within the data
  2. Answering yes/no questions about the data
  3. Modeling relationships within the data
  4. All of the above

Answer: Modeling relationships within the data

28. Linear Regression is the supervised machine learning model in which the model finds the best fit ___ between the independent and dependent variable.

  1. Nonlinear line
  2. Linear line
  3. Curved line
  4. None of the mentioned above

Answer: Linear line

29. Data Analytics uses ___ to get insights from data

  1. Statistical methods
  2. Statistical figures
  3. Numerical aspects
  4. None of the mentioned above

Answer: Statistical methods

30. Amongst which of the following is / are the types of Linear Regression_______________

  1. Simple Linear Regression
  2. Multiple Linear Regression
  3. Both of above
  4. None of above

Answer: Both of above

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