StatQuest statistics and machine learning library
Use for statistics, model evaluation, machine learning, neural network, and AI explainers.
A current AP Statistics sequence covering data collection, one-variable analysis, probability, random variables, inference for proportions and means, chi-square methods, and regression.
A current AP Statistics sequence covering data collection, one-variable analysis, probability, random variables, inference for proportions and means, chi-square methods, and regression.
This track is organized as a mastery loop: source study, sequenced checks, Khan report evidence, then tutor handoff only when the data shows a real stuck point.
Use linked OER and companion sources before attempting checks.
Move through numbered PeerTutor problems without skipping failed gates.
Enter Khan report evidence and let the adaptive plan rank repair units.
Bring exact misses, notes, and one sharp question to a tutor.
The bank is intentionally mixed across facets and difficulty so high scores cannot come from one narrow question style.
Use these linked courses for video instruction and mastery practice, then return here for PeerTutor original checks and tutor help on the exact unit that got stuck.
External video content is linked or embedded through provider-hosted players, not copied. PeerTutor practice is original and cites each source path separately.
Watch the strongest public video path inside PeerTutor, then use the unit checks below to prove the student can actually do the work.
Use for statistics, model evaluation, machine learning, neural network, and AI explainers.
Worked examples across algebra, trigonometry, calculus, chemistry, physics, and test prep.
Khan Academy progress has to be entered from the student or tutor report. Khan does not provide a supported public progress API, so this mirror stores unit status locally and uses it to target PeerTutor checks.
Khan Academy does not provide a supported public progress API or external API keys. PeerTutor stores student-provided report evidence and maps it to original practice instead.
0 repair units and 5 practice units need attention before extension.
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Exploring one-variable data and collecting data", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Probability, random variables, and probability distributions", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Inference for categorical data: proportions", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Inference for quantitative data: means", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Regression analysis and AP synthesis", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Built for independent progress first, then tutor support where the student gets stuck.
Practice: Audit a real survey or experiment, redesign its collection plan, and write a complete one-variable data description.
Start with AP Statistics and AP/College Statistics. Take notes until you can explain: Represent and compare categorical and quantitative distributions using appropriate summaries.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Audit a real survey or experiment, redesign its collection plan, and write a complete one-variable data description.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Design random samples and experiments while identifying bias, confounding, and limits to inference.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Weakest facet: Concept
A Exploring one-variable data and collecting data practice set has 12 questions. If 5 are complete, how many remain?
Which habit best fits a serious math solution?
Which target best matches the AP Statistics unit "Exploring one-variable data and collecting data"?
Which practice artifact should you produce for "Exploring one-variable data and collecting data" before asking a tutor for help?
Which target best proves readiness for "Exploring one-variable data and collecting data"?
Which second target belongs to "Exploring one-variable data and collecting data"?
Practice: Solve a probability model exactly, verify it with a simulation plan, and state the assumptions.
Start with AP Statistics and AP/College Statistics. Take notes until you can explain: Use simulation, conditional probability, independence, and unions of events.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Solve a probability model exactly, verify it with a simulation plan, and state the assumptions.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Analyze discrete random variables plus binomial and normal distributions.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Weakest facet: Concept
A Probability, random variables, and probability distributions practice set has 13 questions. If 6 are complete, how many remain?
Which habit best fits a serious math solution?
Which target best matches the AP Statistics unit "Probability, random variables, and probability distributions"?
Which practice artifact should you produce for "Probability, random variables, and probability distributions" before asking a tutor for help?
Which target best proves readiness for "Probability, random variables, and probability distributions"?
Which second target belongs to "Probability, random variables, and probability distributions"?
Practice: Write a complete proportion or chi-square inference response with conditions, calculation, conclusion, and error interpretation.
Start with AP Statistics and AP/College Statistics. Take notes until you can explain: Use sampling distributions, confidence intervals, and significance tests for one and two proportions.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Write a complete proportion or chi-square inference response with conditions, calculation, conclusion, and error interpretation.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Apply chi-square tests for homogeneity and independence when conditions hold.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Weakest facet: Concept
A Inference for categorical data: proportions practice set has 14 questions. If 7 are complete, how many remain?
Which habit best fits a serious math solution?
Which target best matches the AP Statistics unit "Inference for categorical data: proportions"?
Which practice artifact should you produce for "Inference for categorical data: proportions" before asking a tutor for help?
Which target best proves readiness for "Inference for categorical data: proportions"?
Which second target belongs to "Inference for categorical data: proportions"?
Practice: Choose and carry out a mean-based inference procedure, then defend why the method and conditions fit.
Start with AP Statistics and AP/College Statistics. Take notes until you can explain: Use t procedures for one mean, paired means, and differences between means.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Choose and carry out a mean-based inference procedure, then defend why the method and conditions fit.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Interpret confidence, significance, power, and Type I and Type II errors in context.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Weakest facet: Concept
A Inference for quantitative data: means practice set has 15 questions. If 8 are complete, how many remain?
Which habit best fits a serious math solution?
Which target best matches the AP Statistics unit "Inference for quantitative data: means"?
Which practice artifact should you produce for "Inference for quantitative data: means" before asking a tutor for help?
Which target best proves readiness for "Inference for quantitative data: means"?
Which second target belongs to "Inference for quantitative data: means"?
Practice: Fit and critique a regression model, then complete a mixed AP-style investigation and correct every scoring gap.
Start with AP Statistics and AP/College Statistics. Take notes until you can explain: Interpret scatterplots, correlation, least-squares regression, residuals, influential points, and model limits.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Fit and critique a regression model, then complete a mixed AP-style investigation and correct every scoring gap.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Combine statistical investigation skills under calculator-active and written AP conditions.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Quantitative warmup. Do not jump ahead until this one is correct.
Weakest facet: Concept
A Regression analysis and AP synthesis practice set has 16 questions. If 9 are complete, how many remain?
Which habit best fits a serious math solution?
Which target best matches the AP Statistics unit "Regression analysis and AP synthesis"?
Which practice artifact should you produce for "Regression analysis and AP synthesis" before asking a tutor for help?
Which target best proves readiness for "Regression analysis and AP synthesis"?
Which second target belongs to "Regression analysis and AP synthesis"?
These are source links, not scraped course copies. Licenses differ, so the label tells students how each source is used.
View the full citation indexOfficial AP Statistics overview for the current five-unit sequence covering data, probability, inference, and regression.
Free AP Statistics video and mastery path; linked as a companion course.
Free math textbooks including Algebra 1, Calculus, Statistics, and Principles of Data Science.
Data science cycle, Python, statistics, modeling, visualization, and ethics.
Statistics, machine learning, neural network, and AI explainers organized from fundamentals through advanced topics.