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Introduction to Statistics - STAT 101

Covers descriptive statistics, probability, distributions, sampling, confidence intervals, hypothesis testing, correlation, and regression.

Study Tools

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Study guides

10

10 Correlation

A structured guide to using scatterplots, covariance, and Pearson correlation to describe linear associations, test population relationships, and distinguish association from causation.
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08 Hypothesis Testing

A practical guide to formulating hypotheses, evaluating sample evidence with test statistics and p-values, making decisions, and interpreting errors and statistical power.
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09 Inference for Means and Proportions

A structured guide to selecting, calculating, and interpreting confidence intervals and hypothesis tests for proportions, means, independent groups, and paired observations.
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06 Sampling and Sampling Distributions

A structured guide to populations, sampling methods, sampling distributions, standard errors, Normal approximations, and the quality of sample-based estimates.
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05 Common Statistical Distributions

A structured guide to recognizing, interpreting, calculating with, and approximating common discrete and continuous probability distributions.
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07 Confidence Intervals

Learn how confidence intervals quantify uncertainty, how to select the correct interval formula, how to plan sample sizes, and how to check assumptions and interpretations.
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02 Descriptive Statistics

A practical guide to organizing, visualizing, summarizing, and interpreting data with measures of center, variation, position, standardized scores, and outlier rules.
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11 Simple Linear Regression

A progressive guide to modeling quantitative relationships with simple linear regression, interpreting fitted lines, checking assumptions, making predictions, and conducting inference for the population slope.
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03 Probability

A progressive guide to modeling uncertainty and solving probability problems with events, counting methods, conditional probability, independence, and Bayes’ theorem.
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01 Foundations of Statistics and Data Collection

A structured guide to defining statistical questions, collecting reliable data, choosing study designs, recognizing bias, and protecting research participants.
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Quizzes

12

04 Random Variables and Probability Distributions

A 14-question quiz on random variables and probability distributions, emphasizing classification, validity checks, probability calculations, expected value, variance, standard deviation, transformations, and practical interpretation.
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10 Correlation

A concept-focused quiz on scatterplots, covariance, Pearson correlation, significance tests, and the distinction between association and causation. Questions progress from foundational interpretation to application and explanation.
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03 Probability

A medium-difficulty quiz on probability experiments, event operations, counting methods, conditional probability, independence, and Bayes' theorem.
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08 Hypothesis Testing

A medium-difficulty quiz on hypothesis testing, covering statistical hypotheses, significance levels, test statistics, p-values, rejection rules, errors, power, and interpretation.
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07 Confidence Intervals

A 14-question assessment on confidence intervals, covering point estimates, confidence levels, margins of error, mean and proportion intervals, sample-size planning, assumptions, and finite population correction. Questions progress from foundational interpretation to applied calculations and explanations.
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09 Inference for Means and Proportions

A medium-difficulty assessment of statistical inference for means and proportions, including conditions, confidence intervals, hypothesis tests, pooled and unpooled procedures, paired data, and interpretation.
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04 Random Variables and Probability Distributions

A medium-difficulty quiz on random variables, probability distributions, expected value, variance, standard deviation, and transformations. Questions progress from conceptual classification to applied calculations and explanations.
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06 Sampling and Sampling Distributions

A medium-difficulty quiz on populations and samples, sampling methods, sampling distributions, standard errors, the Central Limit Theorem, and the behavior of sample statistics.
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05 Common Statistical Distributions

A 14-question assessment on discrete and continuous probability distributions, their assumptions, formulas, properties, and approximations. Questions progress from foundational identification to applied calculation and explanation.
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11 Simple Linear Regression

A medium-difficulty quiz on interpreting, calculating, diagnosing, and applying simple linear regression models, including least squares, residuals, variation, inference, prediction, and model assumptions.
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02 Descriptive Statistics

A medium-difficulty quiz on descriptive statistics, covering data organization, visual displays, measures of center and variation, relative position, outliers, and practical interpretation.
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01 Foundations of Statistics and Data Collection

A medium-difficulty quiz on populations, sampling, variables, study designs, bias, confounding, and research ethics in statistics. Questions progress from foundational distinctions to applied evaluation of study designs.
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Flashcards

11

04 Random Variables and Probability Distributions

Builds core understanding of random variables, probability distributions, expected value, variability, and transformations.
Flashcards · Updated

09 Inference for Means and Proportions

A focused review of conditions, formulas, interpretations, and procedure selection for confidence intervals and hypothesis tests involving means and proportions.
Flashcards · Updated

10 Correlation

A focused flashcard set covering scatterplots, covariance, Pearson correlation, significance testing, assumptions, and the limits of causal interpretation.
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08 Hypothesis Testing

A focused review of hypothesis-testing concepts, decisions, errors, power, and the interpretation of statistical evidence.
Flashcards · Updated

05 Common Statistical Distributions

Review the defining properties, formulas, assumptions, and applications of common discrete and continuous probability distributions.
Flashcards · Updated

03 Probability

A focused set of flashcards covering probability models, event rules, counting methods, conditional probability, independence, and Bayes’ theorem.
Flashcards · Updated

02 Descriptive Statistics

A focused review of tables, graphs, numerical summaries, standardized scores, outlier detection, and practical workflows for describing quantitative data.
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01 Foundations of Statistics and Data Collection

Build foundational understanding of populations, variables, study designs, bias, sampling, causal inference, and ethics in statistical research.
Flashcards · Updated

06 Sampling and Sampling Distributions

Review populations, sampling methods, sampling distributions, standard errors, the Central Limit Theorem, and the behavior of sample statistics.
Flashcards · Updated

11 Simple Linear Regression

A focused flashcard set covering simple linear regression models, least-squares estimation, residuals, inference, prediction, and model assumptions.
Flashcards · Updated

07 Confidence Intervals

A focused review of confidence-interval meaning, formulas, assumptions, interpretation, and sample-size planning for means and proportions.
Flashcards · Updated