AP Statistics Sprint

Choose the right test before touching the calculator.

AP Stats rewards students who can read the data collection method, choose the right statistical procedure, check conditions, calculate cleanly, and interpret the result in context. This sprint makes the next move obvious before the math starts.

Start AP Stats Practice

Next action: start the practice set. The result will tell you whether to repeat, advance, or open FRQ scoring.

How this course works

Start here, score what happened, then let the result choose the next unit or parent update.

  1. Run a short set that mixes data collection, random variables, categorical inference, quantitative inference, and regression.
  2. Score the missing move: procedure choice, parameter, conditions, calculation, conclusion, or context.
  3. Save the update so the parent sees the AP Stats skill that actually changed.
Score AP Stats FRQ
Course detail

First scored move

Data Collection and Description

A teacher records the number of minutes students spend on homework each night from a random sample of students. The distribution is skewed right with one unusually high value. Describe the distribution, choose the better measures of center and spread, and state what conclusion the random sample supports.

Describes shape

Names outlier effect

Chooses median/IQR

Explains resistance

States random-sample scope

35 AP Stats simulator questions plus 5 FRQ prompts are live.

Unit map

U1

25%

Exploring One-Variable Data and Collecting Data

Naming center or spread without describing shape, outliers, and context.

Next move

Describe one distribution and state what conclusion the data-collection method allows.

Companion proof: Complete one practice set for Exploring One-Variable Data and Collecting Data, then save a parent update that names the missed concept, the corrected move, and the next unit check.

U2

20%

Probability, Random Variables, and Probability Distributions

Multiplying probabilities without checking independence.

Next move

Name the random variable, possible values, and expected value before calculating.

Companion proof: Complete one practice set for Probability, Random Variables, and Probability Distributions, then save a parent update that names the missed concept, the corrected move, and the next unit check.

U3

20%

Inference for Categorical Data: Proportions

Using sample counts instead of null counts when checking a one-proportion test.

Next move

Set up one proportion test with parameter, hypotheses, conditions, p-value, and conclusion.

Companion proof: Write one inference response and highlight the parameter, procedure, conditions, calculation, and contextual conclusion.

U4

15%

Inference for Quantitative Data: Means

Using z procedures for means when the population standard deviation is unknown.

Next move

Set up one t interval or t test with parameter, conditions, calculation, and conclusion.

Companion proof: Complete one practice set for Inference for Quantitative Data: Means, then save a parent update that names the missed concept, the corrected move, and the next unit check.

U5

15%

Regression Analysis

Treating correlation as causation without study-design evidence.

Next move

Interpret one slope and one residual using variable names and units.

Companion proof: Complete one practice set for Regression Analysis, then save a parent update that names the missed concept, the corrected move, and the next unit check.