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