3.3 One-Variable Data Analysis

Analyzing single-variable datasets including measures of center, spread, and interpreting distributions.

本节包含的知识点

• 3.3.1 Measures of Center — Understanding and calculating mean, median, and mode to describe the central tendency of a dataset.
• 3.3.2 Measures of Spread — Computing range, interquartile range (IQR), variance, and standard deviation to quantify data variability.
• 3.3.3 Distribution Shapes and Characteristics — Identifying and interpreting distribution shapes including symmetry, skewness, and kurtosis in datasets.
• 3.3.4 Data Visualization and Displays — Creating and interpreting histograms, box plots, dot plots, and stem-and-leaf plots for single-variable data.
• 3.3.5 Outliers and Data Cleaning — Identifying outliers using statistical methods and understanding their impact on summary statistics.
• 3.3.6 Normal Distribution and Standardization — Understanding properties of normal distribution and using z-scores for standardization and comparison.