🎓 GED · MATH

GED® Data Analysis & Probability

A comprehensive course on data analysis and probability for the GED®. Students learn to read and interpret tables, bar graphs, line graphs, and pie charts; calculate measures of center (mean, median, mode) and spread (range, standard deviation); understand probability of single and compound events; and apply statistical reasoning to real-world problems. Includes many worked examples and practice questions.

📚 22 sessions 📝 248 practice questions ⏰ Self-paced ✅ 100% Free
3 trial sessions unlocked Preview selected lessons now; enroll to continue through the complete course.
Course Map

📚 Course Curriculum

22 sessions organized as a guided path, with 3 trial sessions open before enrollment.

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Data visualization displays information in a format that is quick to understand. The GED® tests your ability to extract information from common displays. Tables:. A …

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Pie charts divide a whole into slices, where each slice represents a part of the total. The whole circle always represents 100%. [[figure:pie_chart_budget Family budget …

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Scatter plots display the relationship between two numerical variables. Each point represents one pair of values (x, y). Reading a scatter plot:. The x-axis usually …

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A frequency table lists categories or numerical intervals alongside how many data values fall into each one. Example:. A histogram is a bar graph built …

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Stem-and-leaf plots organize numerical data by splitting each value into a "stem" (all digits except the last) and a "leaf" (the last digit), preserving every …

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This session consolidates Sessions 1–5. Instead of introducing a new display, we practice choosing the right reading strategy for whichever chart, table, graph, or plot …

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These four measures describe a dataset in different ways. Mean (Average):. The mean is the sum of all values divided by the number of values. …

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A weighted average gives different values different levels of importance instead of treating them equally, unlike a simple mean. Example: a course grade is 20% …

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Quartiles divide an ordered data set into four equal parts. Q1 (first quartile): the median of the lower half of the data. Q2: the median …

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While the range and IQR describe spread using only a few values, variance and standard deviation use every data point to measure how far, on …

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Not every measure of center tells the same story. Choosing the right one depends on the shape of the data. Effect of outliers:. The mean …

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This session reviews Sessions 7–11 (mean, median, mode, range, weighted averages, quartiles, IQR, and standard deviation) through mixed, GED®-style practice problems. Focus areas:. 1. Calculating …

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Probability measures the likelihood of an event occurring, from 0 (impossible) to 1 (certain). Basic Example:. A standard die has six faces numbered 1 to …

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Complementary events are two outcomes where exactly one must occur; together they account for all possibilities. Example: if the probability of rain tomorrow is 0.3, …

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Compound events involve multiple outcomes. AND Events (Intersection):. Both events must happen. Use multiplication. (Assuming events are independent—one doesn't affect the other.). Example: Probability of …

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Two events are independent if the outcome of one does not affect the probability of the other. Two events are dependent if the outcome of …

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The fundamental counting principle states that if one event can occur in \(m\) ways and a second, independent event can occur in \(n\) ways, the …

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This session reviews Sessions 13–17 (single-event probability, complements, compound AND/OR events, independent versus dependent events, and the counting principle) through mixed, GED®-style problems. Focus areas:. …

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A distribution describes how data is spread across a range. Normal Distribution (Bell Curve):. Many real-world datasets follow a bell-shaped curve: most values cluster near …

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Correlation describes a statistical association between two variables: as one changes, the other tends to change too. Causation means that a change in one variable …

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A population is the entire group a study wants to learn about. A sample is a smaller subset of the population actually measured, used to …

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Master these strategies for the GED® data and probability questions. Strategy 1 - Always read the graph carefully. Spend 15 seconds identifying:. Title: What is …

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Course Guide

Course Syllabus

This self-paced GED® Math course follows a 7-lesson sequence. Work through the modules in order so that each skill supports the next.

Course sequence

Module 1 - Lessons 1-4

  • Reading Data: Tables, Bar Graphs, and Line Graphs
  • Pie Charts and Percentages
  • Mean, Median, Mode, and Range
  • Probability Basics: Single Events

Module 2 - Lessons 5-7

  • Compound Probability: AND and OR
  • Distributions and Outliers
  • Data Analysis: Test-Taking Strategies

Practice and completion

  • Use worked examples and lesson practice to check understanding after each module.
  • Review incorrect answers, explain the correction, and repeat weak skills.
  • Complete the available mixed or final course practice to demonstrate readiness.
Learning Results

Course Outcomes

By the end of this course, learners will be able to:

  • Explain and apply the mathematical ideas in Reading Data: Tables, Bar Graphs, and Line Graphs.
  • Solve multi-step problems involving Mean, Median, Mode, and Range and show a clear method.
  • Interpret representations and check the reasonableness of work involving Probability Basics: Single Events.
  • Choose efficient strategies for unfamiliar questions related to Compound Probability: AND and OR.
  • Combine skills from Data Analysis: Test-Taking Strategies with earlier topics in mixed practice.
  • Use feedback and answer explanations to diagnose and correct mistakes.
  • Complete mixed, exam-style practice with clearer reasoning and greater independence.

Course Rating

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📝 Practice Questions

248 interactive questions with instant feedback and explanations.

Enroll for free to unlock the full practice bank after the trial sessions.