Data Analysis and Management Techniques Quiz

Test your knowledge on data management with questions covering EDA, normalization, regression, machine learning, SQL, and more!

#1

What is the first step in data analysis?

Data cleaning
Data visualization
Data interpretation
Data collection
#2

Which of the following is NOT a common data visualization technique?

Histogram
Scatter plot
Box plot
Matrix multiplication
#3

Which of the following is a key component of the CRISP-DM framework for data mining?

Data Interpretation
Data Preprocessing
Data Abstraction
Data Normalization
#4

What is the primary goal of data aggregation in data analysis?

To reduce data redundancy
To increase data granularity
To simplify data manipulation
To enhance data visualization
#5

What is the primary goal of feature engineering in machine learning?

To create new features from existing ones
To remove features with low importance
To standardize the feature space
To visualize feature distributions
#6

Which of the following is a data management technique for handling missing values?

Mean imputation
Deleting rows with missing values
Ignoring missing values
All of the above
#7

What does 'EDA' stand for in data analysis?

Extract, Determine, Adapt
Exploratory Data Analysis
Evaluate, Discover, Analyze
Enhanced Data Aggregation
#8

Which statistical measure is used to describe the spread or dispersion of a dataset?

Mean
Median
Standard deviation
Mode
#9

What is the purpose of a pivot table in data analysis?

To calculate statistical measures
To arrange and summarize data
To visualize data distribution
To perform data cleaning
#10

In linear regression, what does the 'R-squared' value indicate?

The slope of the regression line
The intercept of the regression line
The goodness of fit of the regression model
The p-value of the regression coefficients
#11

What is the purpose of normalization in data analysis?

To make data uniform in format
To scale data to a standard range
To summarize data distribution
To remove outliers
#12

What is the purpose of cross-validation in machine learning?

To split data into training and testing sets
To evaluate model performance on unseen data
To find optimal hyperparameters
To preprocess data before training
#13

Which statistical test is used to determine if there is a significant difference between the means of two groups?

t-test
ANOVA
Chi-square test
Mann-Whitney U test
#14

What is the primary purpose of a decision tree in data analysis?

To represent complex decision logic
To generate random data points
To perform unsupervised learning
To calculate statistical measures
#15

Which algorithm is commonly used for imputing missing values in a dataset?

Linear Regression
K-means Clustering
Decision Trees
K-nearest Neighbors (KNN)

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