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Data Analyst Mock Test

We understand the importance of increasing job roles as an Analyst, so we've prepared the most asked data analyst-related questions to help you crack 

1 / 50

___ are the basic building blocks of qualitative data .

2 / 50

An advantage of using computer programs for qualitative data is that they ___.

3 / 50

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

4 / 50

Customer analytics refers -

5 / 50

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

6 / 50

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

7 / 50

How does "Non-Negative Matrix Factorization" (NMF) contribute to dimensionality reduction in data analysis?

8 / 50

What is the purpose of the term "Hierarchical Clustering" in clustering analysis?

9 / 50

What is the primary purpose of the term "Confusion Matrix" in classification problems?

10 / 50

Logistic regression is used to find the probability of event = Success and
event = ____ .

11 / 50

In time series analysis, what does the term "Exponential Smoothing" refer to?

12 / 50

How does the term "Ensemble Learning" improve model performance in machine learning?

13 / 50

___ refers to the ability to turn your data useful for business.

14 / 50

What is the purpose of the term "Multicollinearity" in regression analysis?

15 / 50

What does the term "confidence interval" represent in statistical analysis?

16 / 50

If the null hypothesis is false then which of the following is accepted?

17 / 50

Alternative Hypothesis is also called as?

18 / 50

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

19 / 50

For each value of the ___, the distribution of the dependent variable must be normal.

20 / 50

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

21 / 50

What is a hypothesis?

22 / 50

Least Square Method uses ___.

23 / 50

Which of the following is true about regression analysis?

24 / 50

How does the term "Binning" contribute to feature engineering in data analysis?

25 / 50

In data analysis, what does the term "Lift" signify in the context of a predictive model?

26 / 50

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

27 / 50

Which of the following is true about hypothesis testing?

28 / 50

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

29 / 50

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

30 / 50

What does the term "confidence interval" represent in statistical analysis?

31 / 50

What is the primary goal of hypothesis testing in data analysis?

32 / 50

What is the purpose of a box plot in data analysis?

33 / 50

What is the significance of the term "standard deviation"?

34 / 50

What is the purpose of correlation in data analysis?

35 / 50

What does a histogram visualize?

36 / 50

How is the range of a dataset calculated?

37 / 50

What does the term "outlier" mean in data analysis?

38 / 50

What is the difference between mean and median?

39 / 50

What is the primary goal of data analysis?

40 / 50

Data Analysis is a process of?

41 / 50

In data analysis, what is the purpose of the term "Kurtosis"?

42 / 50

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

43 / 50

How does the term "bootstrapping" contribute to statistical analysis?

44 / 50

The process of quantifying data is referred to as ___ .

45 / 50

Explain the concept of "resampling" in data analysis.

46 / 50

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

47 / 50

How does the term "principal component analysis" (PCA) contribute to dimensionality reduction in data analysis?

48 / 50

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

49 / 50

How does the Pearson correlation coefficient differ from the Spearman rank correlation coefficient?

50 / 50

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

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