AP Statistics — Inference flashcards
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AP Statistics inference, tagged to the Course and Exam Description effective Fall 2026: intervals and tests for proportions and means, chi-square tests, conditions, interpretations, errors and power, and choosing a procedure. Goodness-of-fit and slope-inference cards are marked as background.
Learn deck · part of AP Statistics · written against: College Board AP Statistics Course and Exam Description effective Fall 2026 (five units; first exam May 2027); cards on topics it removed or does not name are kept as background and say so. Updated 2026-10-10.
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What is the formula for a one-sample z interval for a population proportion?— the point estimate plus or minus the margin of error.Inference for Categorical Data Proportions › Constructing a Confidence Interval for a Population Proportion
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Which three conditions must you check before building a confidence interval for a proportion?Random (a random sample), 10% (n under 10% of the population when sampling without replacement), and Large Counts ( and ).Inference for Categorical Data Proportions › Constructing a Confidence Interval for a Population Proportion
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How do you interpret a 95% confidence interval of (0.42, 0.50) for the proportion of voters who support a measure?We are 95% confident that the interval from 0.42 to 0.50 captures the true proportion of all voters who support the measure. Always name the parameter in context.Inference for Categorical Data Proportions › Justifying a Claim Based on a Confidence Interval for a Population Proportion
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Why do inference procedures for a mean use rather than ?The population SD is almost never known, so it is estimated by , adding variability; the t distributions, with heavier tails, account for it.Inference for Quantitative Data Means › Constructing a Confidence Interval for a Population Mean or Population Mean Difference
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How does a t distribution change as the degrees of freedom increase?It gets closer to the standard normal — tails become thinner and t* shrinks toward z*.Inference for Quantitative Data Means › Constructing a Confidence Interval for a Population Mean or Population Mean Difference
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What changes in the conclusion when data come from a randomized experiment rather than a random sample?Random assignment lets you conclude that the treatment caused the difference; random sampling lets you generalize to the population. The 10% condition does not apply to random assignment.Exploring One-Variable Data and Collecting Data › Data Collection and Random Sampling
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What population model underlies inference for a regression slope?: the mean response is a linear function of x, and responses vary normally around that line with the same SD for every x. Beyond the AP course; background only.Regression Analysis › Least-Squares Regression
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What conditions are checked for inference about a regression slope?Linear relationship, Independent observations (10% condition), Normal residuals, Equal SD (no fanning in the residual plot), Random sample or assignment. Mnemonic: LINER. Beyond the AP course; background only.Regression Analysis › Linear Regression Models and Residuals
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What three questions sort out which inference procedure to use?Is the response categorical or quantitative? How many samples or groups, and are they paired? Are you estimating (interval) or testing a claim (test)?Exploring One-Variable Data and Collecting Data › Data Collection and Random Sampling
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Why does a matched-pairs design usually give a more powerful test than two independent groups?Analyzing within-pair differences removes the variation between subjects, so the standard error is smaller and real treatment effects are easier to detect.Exploring One-Variable Data and Collecting Data › Experimental Design
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- Topic outline follows the College Board AP Statistics Course and Exam Description effective Fall 2026 (first exam May 2027); cards on topics that course removed are kept as background and say so. The AP name is used nominatively and no course or exam text is reproduced.
- OpenStax Introductory Statistics 2e, consulted as a reference; no text copied.
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