Chapter 4: Exploratory Data Analysis

Learning Objectives

•Explain the importance of basic descriptive statistics, such as mean, median, mode, maximum, and minimum.

•Describe and calculate basic measures of variability, such as variance, standard deviation, range, and interquartile range.

•Identify the shape of a data distribution, such as skewness or symmetry, and understand its implications for data analysis.

•Assess the resistance of various descriptive statistics to the effects of outliers.

•Detect and describe associations between different types of variables, such as quantitative-by-quantitative and quantitative-by-categorical relationships.

•Compare methods for identifying outliers in both quantitative and categorical variables and understand their impact on data interpretation.