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
Statistics describes data, and probability models uncertainty. This high-school course combines numerical summaries, data displays, relationships, study design and counting-based probability. Study the complete public source playlist from Khan Academy in English, with all 62 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 | 62 |
| Video duration | 6h 19m · allow extra time for practice |
| Format | Self-paced recorded training |
| Certificate | Not included with video viewing |
What you’ll learn
- Summarize and compare distributions with numbers and displays.
- Interpret two-way tables, scatter plots and trend lines.
- Assess study design and distinguish correlation from causation.
- Calculate probabilities using event rules and counting methods.
Skills you’ll gain
- Descriptive statistics
- Probability
- Study design
- Combinatorics
Course Overview
Distribution lessons connect mean, median and spread with histograms, dot plots and box plots. Two-way tables and scatter plots organize categorical or paired data, while trend-line and correlation examples require interpretation in context. Study-design recordings distinguish a reasonable sample from a claim unsupported by the way observations were collected. Probability material develops sample spaces, independent and dependent events, permutations and combinations. Binomial basketball examples connect repeated trials with a distribution, and normal-model material introduces another useful pattern. Historical datasets remain teaching examples rather than current statistics. Keep descriptive association, causal interpretation and probability assumptions separate when explaining a result.
How to study the course
- Videos 1–15: this part of the source list includes “Impact on median and mean when removing lowest value example” through “Intuitive sense of probabilities”. 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 16–31: this part of the source list includes “Comparing distributions with dot plots (example problem)” through “Box and whisker plot”. 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 32–46: this part of the source list includes “Handshaking combinations” through “Example: Different ways to pick officers”. 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 47–62: this part of the source list includes “Finding probability example 2” through “Types of statistical studies”. 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
Build a fictional dataset and summarize it with a display and measures of center and spread. Write one comparison supported by the data and one causal claim the design cannot establish. Then create a small probability experiment, enumerate its outcomes and compare a theoretical prediction with a few simulated or physical trials.
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: Standard deviation · Interquartile range
Beginner - Explore a higher-level optionRandom Variables: AP Statistics: Free Course
Focus: Expected value · Random variables
Intermediate - 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 — High School Statistics: Free Course | Beginner | Descriptive statistics · Probability · Study design | 6h 19m 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 |
| Random Variables: AP Statistics: Free Course | Intermediate | Expected value · Random variables · Binomial models | 3h 7m 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 62 source video occurrences total approximately 6h 19m. 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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