1.
What is the purpose of data transformation in the ETL process?
To delete unnecessary data
To convert data into a desired format
To extract data from a source
To load data into a database
2.
Which of the following is a common method for handling missing data in a dataset?
Removing the entire dataset
Replacing missing values with the mean
Ignoring the missing values
Doubling the dataset size
3.
Which of the following describes a "normal distribution"?
A distribution that is skewed to the left
A symmetrical distribution where most values cluster around the mean
A distribution with multiple peaks
A random distribution with no specific pattern
4.
Which type of chart is best suited for visualizing the relationship between two numerical variables?
Bar chart
Pie chart
Scatter plot
Line chart
5.
In the context of data analysis, what does "data visualization" refer to?
The process of collecting data
The graphical representation of data to identify trends and insights
The storage of data in databases
The cleaning of data for accuracy
6.
What is the difference between a population and a sample?
A population is the entire group of individuals or objects that you are interested in studying, while a sample is a subset of the population
A sample is the entire group of individuals or objects that you are interested in studying, while a population is a subset of the sample
Populations and samples are the same thing
Populations are used for quantitative data, while samples are used for qualitative data
7.
What is the purpose of a confusion matrix in classification tasks?
To visualize data distributions
To summarize the performance of a classification model
To calculate the mean of predictions
To determine the correlation between variables
8.
In data analysis, what is the significance of a p-value?
It indicates the strength of the correlation between variables
It determines the probability of observing the data given that the null hypothesis is true
It measures the accuracy of a model
It represents the total variance in a dataset
9.
In data modeling, what does ER stand for in ER diagrams?
Entity Relationship
Effective Range
Error Ratio
Estimated Results
10.
In data visualization, what is the purpose of a pie chart?
To show trends over time
To compare different categories' sizes as parts of a whole
To display data distribution
To illustrate relationships between variables
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