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Questions and Answers
Histograms and boxplots are often used in EDA to understand data distribution and detect outliers.
True
EDA does not involve hypothesis testing.
False
In statistics, a variable is any characteristic, number, or quantity that can be measured or counted.
True
Qualitative variables are also known as categorical variables.
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Quantitative variables can be discrete or continuous, representing measurable quantities.
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Categorical data is always ordinal in nature.
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Nominal variables have a meaningful order, such as low, medium, and high.
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Continuous data can take any value within a range, such as temperature or height.
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Data cleaning involves removing outliers and irrelevant data points to prepare the dataset for analysis.
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Filtering data means selecting only a subset of data that meets specific criteria.
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