Basic arithmetic and familiarity with tables and graphs are helpful. More advanced probability or inference topics assume the prerequisite methods shown in the recordings.
About this course
A useful data display makes the distribution visible. This course develops frequency tables, dot plots, stem-and-leaf plots and histograms, then uses them to compare numerical datasets. Study the complete public source playlist from Khan Academy in English, with all 8 recordings in the on-site classroom. Original lesson titles, source order and repeated entries are preserved.
Course at a glance
| Provider / Teaching team | Khan Academy |
|---|---|
| Platform | YouTube · Khan Academy |
| Access | Free Video |
| Level | Beginner |
| Language | English |
| Videos | 8 |
| Video duration | 46m · allow extra time for practice |
| Format | Self-paced recorded training |
| Certificate | Not included with video viewing |
What you’ll learn
- Construct frequency tables, dot plots and histograms.
- Read and build stem-and-leaf plots.
- Describe the shape and unusual features of a distribution.
- Compare distributions using their displays.
Skills you’ll gain
- Histograms
- Dot plots
- Stem-and-leaf plots
- Distribution shape
Course Overview
The recordings connect construction with interpretation. A histogram groups observations into intervals, whereas a stem-and-leaf plot preserves more information about individual values. Dot plots and frequency tables offer additional ways to organize a small dataset. Shape, clustering and unusual observations provide the basis for describing a distribution before reducing it to a single summary. The comparison examples ask learners to consider more than one feature at once. The playlist retains its original order, including both introductory demonstrations and AP Statistics comparison examples; it is a focused data-display course rather than a complete inference curriculum.
How to study the course
- Videos 1–2: this part of the source list includes “Thinking about shapes of distributions” through “Stem-and-leaf plots”. Define the question and the observations. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
- Videos 3–4: this part of the source list includes “Reading stem and leaf plots” through “Example: Describing a distribution”. Check the assumptions behind a method. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
- Videos 5–6: this part of the source list includes “How to interpret a histogram” through “How to create a histogram”. Connect a calculation with a plain-language interpretation. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
- Videos 7–8: this part of the source list includes “Frequency tables and dot plots” through “Example: Comparing distributions”. Describe uncertainty and limits of a conclusion. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
Who is this for?
This course suits students, analysts and readers who want to understand the specific statistical methods in the course. It also provides a recorded reference for revisiting a topic after an earlier lesson or study attempt. Choose examples appropriate to your background and allow time to work through the method instead of judging understanding only by how familiar the terminology sounds.
Before you start
Basic arithmetic and familiarity with tables and graphs are helpful. More advanced probability or inference topics assume the prerequisite methods shown in the recordings.
Put the lessons into practice
Create a small fictional dataset and represent it with a dot plot and a histogram. Explain which details each display preserves. Change the histogram intervals and describe the effect on appearance. Compare your dataset with a second one using the same scale, then write a short description of shape, center and spread supported by the displays.
This optional study activity is provided by WikiFree for independent practice. Keep your working notes and use the relevant classroom recording to check a step, definition or interpretation. It is not an instructor-marked assignment.
Certificate / Assessment
Watching the public videos and using WikiFree completion tracking does not award a certificate, academic credit, an examination voucher or instructor assessment. Use your practice output to review what you can explain and repeat independently. The recorded lessons provide study material; completion tracking records your progress through that material.
Related courses for your next step
- Compare another approachSummarizing Quantitative Data: Free Course
Focus: Descriptive statistics · Standard deviation
Beginner - Compare another approachHigh School Statistics: Free Course
Focus: Descriptive statistics · Probability
Beginner - Compare another approachModeling Data Distributions: Free Course
Focus: Normal distribution · Density curves
Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Displaying Quantitative Data: Free Course | Beginner | Histograms · Dot plots · Stem-and-leaf plots | 46m of video; practice time is additional |
| Summarizing Quantitative Data: Free Course | Beginner | Descriptive statistics · Standard deviation · Interquartile range | 2h 4m of video; practice time is additional |
| High School Statistics: Free Course | Beginner | Descriptive statistics · Probability · Study design | 6h 19m of video; practice time is additional |
| Modeling Data Distributions: Free Course | Beginner | Normal distribution · Density curves · Percentiles | 1h 25m of video; practice time is additional |
Frequently asked questions
Is this course free to watch?
Yes. The public source videos are available in the WikiFree classroom. Video viewing does not include separately priced tools, hardware, memberships or a credential.
How long does the course take?
The 8 source video occurrences total approximately 46m. Allow additional time for pausing, notes, practice and revisiting an explanation.
What background do I need?
Basic arithmetic and familiarity with tables and graphs are helpful. More advanced probability or inference topics assume the prerequisite methods shown in the recordings.
Does completing the videos award a certificate?
No. Video viewing and WikiFree progress tracking do not award a certificate, academic credit or an exam voucher.
Can I study on a phone?
Yes. The classroom supports a responsive player and searchable lesson list. A larger screen or a suitable practice environment can help with detailed calculations, diagrams and software examples.
Provider: Khan Academy. Videos play from the Khan Academy channel on YouTube.
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