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Data Science MCQs with answers Page - 177

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Mr. Dubey • 51.17K Points
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Q. What statistical technique is used to estimate population parameters from a sample of data?

(A) Descriptive statistics
(B) Exploratory data analysis
(C) Inferential statistics
(D) Data preprocessing

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Mr. Dubey • 51.17K Points
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Q. What is the term for the process of finding and correcting errors in a dataset?

(A) Data transformation
(B) Data cleaning
(C) Data aggregation
(D) Data transformation

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Mr. Dubey • 51.17K Points
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Q. In data science, what does the acronym "ETL" stand for?

(A) Encode, Tokenize, Leverage
(B) Estimate, Test, Label
(C) Extract, Transform, Load
(D) Explore, Train, Learn

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Mr. Dubey • 51.17K Points
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Q. What is the primary goal of A/B testing in data analysis?

(A) To create visualizations
(B) To build predictive models
(C) To collect more data
(D) To compare two versions of a webpage or product to determine which one performs better

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Mr. Dubey • 51.17K Points
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Q. In the context of machine learning, what is the purpose of regularization techniques such as L1 and L2 regularization?

(A) To prevent overfitting by adding a penalty term to the loss function
(B) To remove outliers from the data
(C) To increase model complexity
(D) To reduce dimensionality

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Mr. Dubey • 51.17K Points
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Q. What is the term for the process of converting categorical data into numerical form for machine learning?

(A) Data normalization
(B) Text vectorization
(C) Feature scaling
(D) One-hot encoding

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Mr. Dubey • 51.17K Points
Coach

Q. Which statistical test is used to determine if there is a significant association between two categorical variables?

(A) Chi-squared test
(B) T-test
(C) ANOVA
(D) Regression analysis

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Mr. Dubey • 51.17K Points
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Q. In the context of data ethics, what does "bias mitigation" refer to?

(A) Increasing the sample size
(B) Improving model accuracy
(C) Removing outliers from a dataset
(D) Reducing biases in data collection

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