Binary Code Challenge
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TED Talk: What is “Normal” and what is “Different”?- Yana Buhrer Tavanier
Challenge your students to rethink what “normal” really means with this thought-provoking TED-Ed companion resource. Ideal for high school and college classrooms, this resource explores the complex relationship between statistical norms, cultural expectations, and human diversity. Students will critically examine how the concept of “normal” is constructed, how it has been used historically and in modern systems, and why rethinking it can lead to greater equity and understanding. This resource in
9th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Poisson Distribution Assingnment (16 Practice Problems for IB math AI HL)
Challenge your IB Math AI HL students with this carefully structured Poisson Distribution Assignment—perfect for exam-style practice and reinforcing key statistical concepts. This assignment includes a progression of thoughtfully designed questions that help students build confidence and skill with Poisson probability, expected value, mode, and the summation property. Problems increase in difficulty, encouraging critical thinking and application of multiple concepts. What’s Included: ✅ A
11th - 12th, Higher Education
Other (Math), Statistics
AP Statistics Residual vs Outlier vs Influential Point use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among residuals (the vertical distance between an observed data point and the regression line), outliers (data points that fall far from the overall pattern in the y-direction), and influential points (data points whose removal would substantially change the regression line slope, intercept, or correlation). Each scenario requires students to identify the correct concept or apply it to a regression context. Ideal
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Quantitative vs Categorical vs Ordinal use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among quantitative data (numerical values where arithmetic operations are meaningful), categorical (nominal) data (values that represent categories or groups with no natural ordering), and ordinal data (categorical data with a meaningful natural order but unequal intervals). Each scenario requires students to classify the data type correctly and understand its implications for statistical analysis. Ideal for AP St
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Margin of Error vs Standard Error vs SD use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among standard deviation (a measure of spread in a dataset or population), standard error (the standard deviation of a sampling distribution — how much a sample statistic varies from sample to sample), and margin of error (the half-width of a confidence interval, equal to the critical value times the standard error). Each scenario requires students to identify which measure is appropriate. Ideal for AP Statistics
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Permutation vs Combination use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish between permutations (arrangements where order matters) and combinations (selections where order does not matter). Each scenario presents a real-world counting problem requiring students to identify the correct method, set up the appropriate formula, or calculate the result. Ideal for Algebra 2, precalculus, AP Statistics, and probability units. Use as a bell ringer, exit ticket, unit review, sub plan, homework, o
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Z-Score vs T-Score vs Percentile use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among z-scores (standardized scores measuring how many standard deviations a value is from the mean), t-scores (standardized scores used when the population standard deviation is unknown and replaced by the sample standard deviation), and percentiles (values below which a given percentage of observations fall). Each scenario requires students to identify or apply the correct concept. Ideal for AP Statistics course
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Statistical vs Practical Significance use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish between statistical significance (a mathematical determination that an observed result is unlikely due to chance, based on p-value and alpha) and practical significance (whether the size of the effect is large enough to matter in real-world contexts). Each scenario requires students to evaluate whether a result is statistically significant, practically significant, both, or neither. Ideal for AP Statistics and res
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Skewed vs Symmetric vs Bimodal use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among the shapes of distributions: skewed right (tail extends to the right, mean > median), skewed left (tail extends to the left, mean < median), symmetric (mirror image around center, mean ≈ median), and bimodal (two distinct peaks). Each scenario presents a real-world data context requiring students to identify or predict the distribution shape. Ideal for AP Statistics and introductory statistics courses
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Random vs Stratified vs Cluster vs Systematic use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among four major probability sampling methods: simple random sampling (every individual has an equal chance of selection), stratified sampling (population divided into groups, random samples from each), cluster sampling (population divided into groups, entire groups randomly selected), and systematic sampling (every kth individual selected after a random start). Each scenario requires students to identify the corr
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Resistant vs Non-Resistant Measures use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish between resistant measures (statistical summaries that are not strongly affected by outliers or extreme values — median, IQR, Q1, Q3) and non-resistant measures (summaries that are sensitive to extreme values — mean, standard deviation, range). Each scenario requires students to identify which measure is appropriate given the data context. Ideal for AP Statistics and introductory statistics courses. Use as a bell
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Parameter vs Statistic vs Population vs Sample use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among four foundational statistics concepts: population (the entire group of interest), sample (a subset of the population selected for study), parameter (a numerical summary describing a population), and statistic (a numerical summary calculated from a sample). Each scenario presents a real-world data collection situation requiring students to identify which concept applies. Ideal for AP Statistics, introductory
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics One Tailed vs Two Tailed Test use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish between one-tailed hypothesis tests (where the alternative hypothesis specifies a direction: greater than or less than) and two-tailed hypothesis tests (where the alternative hypothesis detects any difference in either direction: not equal to). Each scenario requires students to identify the appropriate test type and understand its implications for p-value calculation and critical regions. Ideal for AP Statistics
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Observational Study vs Experiment vs Survey use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among the three major data collection methods: observational studies (researchers observe without intervening), experiments (researchers impose a treatment and measure its effect), and surveys (researchers collect self-reported data through questionnaires). Each scenario requires students to identify the method used and understand its implications for causation and bias. Ideal for AP Statistics, AP Psychology, and
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Null Hypothesis vs Alternative Hypothesis use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish between the null hypothesis (the default claim of no effect or no difference, denoted H₀) and the alternative hypothesis (the claim the researcher seeks evidence for, denoted Hₐ or H₁). Each scenario requires students to correctly identify, write, or evaluate hypotheses in real-world statistical testing contexts. Ideal for AP Statistics and introductory statistics courses. Use as a bell ringer, exit ticket, unit r
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Mutually Exclusive vs Independent Events use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish between mutually exclusive events (events that cannot both occur at the same time — P(A and B) = 0) and independent events (events where the occurrence of one does not affect the probability of the other — P(A|B) = P(A)). Each scenario requires students to identify the relationship type or apply the correct probability rule. Ideal for AP Statistics and introductory probability courses. Use as a bell ringer, exit t
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Lurking vs Confounding vs Explanatory Variable use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among explanatory variables (the variable a researcher manipulates or uses to predict an outcome), confounding variables (variables related to both the explanatory variable and the response variable that distort the apparent relationship), and lurking variables (unmeasured variables that influence the relationship between the explanatory and response variables). Each scenario requires students to identify which ty
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Interpolation vs Extrapolation use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish between interpolation (using a regression model to predict y for an x-value within the range of the observed data) and extrapolation (using a regression model to predict y for an x-value outside the range of the observed data). Each scenario requires students to identify which is occurring and evaluate the reliability of the prediction. Ideal for AP Statistics courses. Use as a bell ringer, exit ticket, unit revie
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Descriptive vs Inferential Statistics use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish between descriptive statistics (methods used to summarize, organize, and describe data from a sample or population) and inferential statistics (methods used to draw conclusions or make predictions about a population based on sample data). Each scenario requires students to identify which type of statistical analysis is being performed. Ideal for AP Statistics and introductory statistics courses. Use as a bell ring
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Confidence Interval vs P-Value vs Significance use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among three key statistical inference concepts: the confidence interval (a range of plausible values for a population parameter), the p-value (the probability of observing data at least as extreme as the sample if H₀ is true), and the significance level (the threshold alpha below which the p-value leads to rejection of H₀). Each scenario requires students to interpret or apply one of these concepts correctly. Idea
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Census vs Sample vs Parameter use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among a census (collecting data from every member of a population), a sample (collecting data from a subset of the population), and a parameter (a numerical summary describing a characteristic of a population). Each scenario requires students to identify which concept applies. This set complements the Parameter vs. Statistic vs. Population vs. Sample set by focusing specifically on the data collection method (cens
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Binomial vs Geometric Distribution use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish between the binomial distribution (counting the number of successes in a fixed number of independent trials) and the geometric distribution (counting the number of trials until the first success). Each scenario requires students to identify which distribution applies and understand its conditions and parameters. Ideal for AP Statistics courses. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Theoretical vs Experimental Probability use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish between theoretical probability (calculated from mathematical reasoning about equally likely outcomes) and experimental probability (calculated from the results of an actual experiment or observation). Each item presents a real-world or numerical scenario requiring students to identify the correct type, calculate probabilities, or explain the relationship between the two. Ideal for middle school math, Algebra 1, A
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
AP Statistics Ratio vs Proportion vs Rate use with Schoology
25 scenario-based multiple choice questions that challenge students to distinguish among ratios (comparisons of two quantities), proportions (statements that two ratios are equal), and rates (ratios comparing quantities with different units). Each item presents a real-world scenario requiring students to identify which concept applies or to apply the concept correctly. Ideal for middle school math, pre-algebra, algebra, and standardized test preparation. Use as a bell ringer, exit ticket, unit r
9th - 12th, Adult Education, Higher Education
Math Test Prep, Statistics
Showing 1-24 of 73+ results
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