Data Science Miscellaneous MCQ Questions and Answers

1

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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Answer & Solution

Answer: Option A

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2

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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Answer & Solution

Answer: Option D

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3

What does the term "overfitting" mean in machine learning?

A) The model fits the training data too closely and performs poorly on new data B) The model generalizes well to new data C) The model is too simple and underperforms on the training data D) The model is perfectly accurate on all data

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Answer & Solution

Answer: Option C

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4

In the CRISP-DM data mining process model, what does "DM" stand for?

A) Data Modeling B) Data Mining C) Data Manipulation D) None of the above

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Answer & Solution

Answer: Option B

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5

Which Python library is commonly used for natural language processing tasks such as text tokenization and language understanding?

A) Matplotlib B) Scikit-learn C) spaCy D) Seaborn

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Answer & Solution

Answer: Option C

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6

What is the primary goal of exploratory data analysis (EDA)?

A) To build predictive models B) To create visualizations C) To collect more data D) To understand the data's underlying structure and patterns

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Answer & Solution

Answer: Option D

Solution:

Exploratory Data Analysis (EDA) is primarily used to gain insights into the data's underlying structure and patterns.

It helps in identifying key variables, relationships, and outliers that can influence further analysis.

While creating visualizations and collecting data are part of the data analysis process, the core objective of EDA is to understand the data's characteristics and inform the next steps in the analysis.

7

What does the term "cross-validation" refer to in machine learning?

A) A technique for assessing a model's performance on unseen data B) A method for finding optimal hyperparameters C) A type of ensemble learning method D) A way to preprocess data

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Answer & Solution

Answer: Option A

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8

What is the main purpose of the K-means clustering algorithm?

A) To reduce dimensionality B) To classify data into categories C) To perform regression analysis D) To group data points into clusters based on similarity

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Answer & Solution

Answer: Option D

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9

Which data visualization technique is suitable for displaying the distribution of a single numerical variable?

A) Scatter plot B) Box plot C) Histogram D) Bar chart

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Answer & Solution

Answer: Option C

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10

What does the acronym "SQL" stand for in the context of databases?

A) System Query Language B) Structured Query Language C) Structured Question Language D) None of the above

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Answer & Solution

Answer: Option B

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Data Science Miscellaneous MCQ Questions and Answers | Data Science MCQs