Timedora

AP Statistics Online Course

The course covers four major conceptual themes: exploring data, planning a study, anticipating patterns using probability, and statistical inference (confidence intervals and significance tests). Students draw practical conclusions from real-world datasets.

Study Tools

All

Study guides

10

8. Sampling Distributions and the Central Limit Theorem

A guided explanation of sampling distributions, the Central Limit Theorem, standard error, sample size, and their role in statistical inference.
Study guide · Updated

6. Probability and Randomness: Models, Rules, and Independence

A progressive guide to modeling uncertainty, applying core probability rules, and interpreting dependence and independence in real-world processes.
Study guide · Updated

10. Significance Tests and Statistical Inference

A structured guide to formulating hypotheses, carrying out significance tests, interpreting p-values, evaluating decision errors and power, and distinguishing statistical evidence from practical importance.
Study guide · Updated

4. Exploring Relationships in Data

A structured guide to matching variable types with appropriate displays, interpreting quantitative relationships, using correlation and regression responsibly, and distinguishing association from causation.
Study guide · Updated

3. Numerical Summaries and Comparing Distributions

A structured guide to summarizing quantitative distributions, interpreting center, spread, position, and shape, identifying outliers, and comparing groups responsibly.
Study guide · Updated

9. Confidence Intervals

A practical guide to constructing, interpreting, checking, and applying confidence intervals for population proportions and means.
Study guide · Updated

5. Planning Samples and Experiments

A practical guide to selecting samples, identifying bias, distinguishing observational studies from experiments, and judging when statistical conclusions support generalization or causation.
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7. Random Variables and Probability Distributions

A structured guide to modeling uncertainty with random variables, probability distributions, expected value, variability, and common discrete and continuous models.
Study guide · Updated

2. Exploring Categorical and Quantitative Data

A progressive guide to classifying data, choosing appropriate statistical displays, interpreting distributions and time patterns, and writing evidence-based conclusions.
Study guide · Updated

1. Statistical Questions and Data

A foundational guide to identifying statistical questions, defining observations and variables, classifying data, and matching data sources to appropriate conclusions.
Study guide · Updated

Quizzes

10

7. Random Variables and Probability Distributions

A medium-difficulty quiz on random variables, probability distributions, expected value, variability, and selecting appropriate probability models. Questions progress from foundational interpretation to applied reasoning.
Quiz · Updated

9. Confidence Intervals

A medium-difficulty assessment on the concepts, conditions, calculations, interpretation, and practical use of confidence intervals.
Quiz · Updated

8. Sampling Distributions and the Central Limit Theorem

A medium-difficulty quiz on sampling distributions, standard errors, the Central Limit Theorem, random sampling, and inference. Questions progress from foundational distinctions to applied interpretation and calculation.
Quiz · Updated

6. Probability and Randomness

A 14-question quiz on probability models, probability rules, conditional probability, independence, sequential processes, and modeling assumptions. The questions progress from an introductory application to more demanding analysis and explanation.
Quiz · Updated

5. Planning Samples and Experiments

A medium-difficulty quiz on planning samples and experiments, including sampling methods, sources of bias, study design, confounding, and principles of experimental design.
Quiz · Updated

4. Exploring Relationships in Data

A medium-difficulty quiz on choosing analyses for relationships in data, interpreting scatterplots, correlation and regression, making predictions, and distinguishing association from causation.
Quiz · Updated

10. Significance Tests and Statistical Inference

A 14-question assessment on significance tests and statistical inference, progressing from foundational interpretation to applied reasoning about hypotheses, p-values, errors, power, confidence intervals, and practical significance.
Quiz · Updated

2. Exploring Categorical and Quantitative Data

A medium-difficulty quiz on selecting, interpreting, and applying displays for categorical and quantitative data, including tables, bar charts, dotplots, histograms, boxplots, time plots, and statistical conclusions.
Quiz · Updated

3. Numerical Summaries and Comparing Distributions

A medium-difficulty quiz on numerical summaries and comparing distributions, covering center, spread, position, shape, outliers, and responsible group comparisons.
Quiz · Updated

1. Statistical Questions and Data

A medium-difficulty assessment of statistical questions, observational units, variables, data types, data sources, and the connection between study design and reasonable conclusions.
Quiz · Updated

Flashcards

10

4. Exploring Relationships in Data

A focused review of how to classify variables, visualize relationships, interpret correlation and regression, make predictions, and distinguish association from causation.
Flashcards · Updated

3. Numerical Summaries and Comparing Distributions

A focused review of center, spread, position, shape, outliers, and responsible comparison of quantitative distributions.
Flashcards · Updated

5. Planning Samples and Experiments

A focused review of populations, sampling methods, bias, study designs, confounding, and experimental principles in statistical research.
Flashcards · Updated

6. Probability and Randomness

A focused set of 14 flashcards covering probability models, core probability rules, conditional probability, independence, sequential processes, and modeling assumptions.
Flashcards · Updated

8. Sampling Distributions and the Central Limit Theorem

Study the meaning, formulas, conditions, and inferential uses of sampling distributions, sample means, sample proportions, and the Central Limit Theorem.
Flashcards · Updated

9. Confidence Intervals

A focused set of flashcards covering the meaning, construction, conditions, interpretation, and practical use of confidence intervals for population proportions and means.
Flashcards · Updated

7. Random Variables and Probability Distributions

Review random variables, probability distributions, expected value, variability, common discrete and continuous models, standardization, and model selection.
Flashcards · Updated

10. Significance Tests and Statistical Inference

Learn how significance tests use sample data to evaluate population claims, interpret p-values, make decisions, assess errors, and distinguish statistical from practical importance.
Flashcards · Updated

1. Statistical Questions and Data

Build foundational skill in identifying statistical questions, data structures, variable types, data sources, and the limits of conclusions.
Flashcards · Updated

2. Exploring Categorical and Quantitative Data

A focused review of how to classify data, organize observations, choose appropriate statistical displays, and describe distributions and time-based patterns.
Flashcards · Updated