Exploring Data

Analyzing distributions of data

This section contains 6 topics with 0 subtopics, 0 practice problems and 0 flashcards. Each topic includes comprehensive written notes, worked examples with detailed solutions, and interactive lessons for hands-on practice.

Topics Covered

• Types of Data and Sampling — Learn to identify categorical vs. quantitative data, and understand different sampling methods.
• Displaying Distributions with Graphs — Create and interpret histograms, dotplots, stemplots, bar graphs, and pie charts.
• Describing Distributions — Describe the shape, center, spread, and outliers of a distribution using SOCS.
• Measures of Center — Calculate and interpret mean, median, and mode as measures of central tendency.
• Measures of Spread — Calculate and interpret range, IQR, variance, and standard deviation.
• Normal Distributions — Use the Normal distribution, z-scores, and the empirical rule to find probabilities.

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