Questions and Answers
What does STAT PLOTS allow you to show?
What is the purpose of the STAT PLOT w/ TRACE function?
It traces the plots.
What do 1-Var Stats provide?
Mean, Standard Deviation, and 5-number summary.
What does binompdf (n, p, x) calculate?
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What does binomcdf (n, p, x) compute?
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What does geometpdf (p, x) measure?
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What does geometcdf (p, x) return?
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What does normalcdf (lowerbound, upperbound, mean, SD) calculate?
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What does InvNorm (area, mean, SD) provide?
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What does tcdf (lowerbound, upperbound, df) yield?
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What does invT(area, df) provide?
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What does X (squared) cdf (lowerbound, upperbound, df) compute?
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What does X (squared) GOF-Test accomplish?
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What does LinReg (a*x + b) do?
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What is displayed when DiagnosticOn is activated?
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What does 1-PropZInt provide?
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What does 2-PropZInt calculate?
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What does TInterval yield?
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What does 2-SampTInt compute?
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What does 1-PropZTest do?
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What is the purpose of a T-Test?
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What does 2-PropZTest compare?
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What does x-squared test determine?
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What does LinRegTTest perform?
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Study Notes
Calculator Functions in AP Statistics
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STAT PLOTS: Enable visualization of data through scatterplots, histograms, boxplots, and modified boxplots.
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STAT PLOT w/ TRACE: Allows tracing along plotted graphs for validation or exploration.
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1-Var Stats: Provides essential statistical measures including mean, standard deviation (SD), and five-number summary (5-numsum).
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binompdf (n, p, x): Computes the probability of achieving exactly x successes in n trials, with p denoting success probability.
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binomcdf (n, p, x): Calculates the cumulative probability of obtaining x or fewer successes in a series of trials.
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geometpdf (p, x): Determines the probability that the first success occurs on the x-th trial, where p is the probability of success on each trial.
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geometcdf (p, x): Gives cumulative probability that the first success happens on or before the x-th trial.
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normalcdf (lower bound, upper bound, mean, SD): Evaluates the probability that a score falls between a specified lower and upper bound, given a certain mean and SD.
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InvNorm (area, mean, SD): Finds the score corresponding to a specified area (probability) under a normal distribution curve, determined by the given mean and SD.
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tcdf (lower bound, upper bound, df): Computes the probability that a score lies within two bounds for a chosen degrees of freedom (df).
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invT(area, df): Identifies the t-score linked to an area (probability) to the left under the Student's t-distribution curve for specified df.
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X² cdf (lower bound, upper bound, df): Calculates the probability that a score lies between two bounds for a specific degrees of freedom related to chi-square distribution.
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X² GOF-Test: Executes a chi-square goodness-of-fit test to assess if sample data fits a specific distribution.
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LinReg (ax + b): Fits a linear equation y = ax + b to data from lists L1 and L2, utilizing least squares fitting method.
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DiagnosticOn: Activates the display of r-squared and correlation coefficient (r) in the linear regression output.
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1-PropZInt: Provides a confidence interval for the proportion of successes in a single population.
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2-PropZInt: Calculates a confidence interval for the difference between two population proportions.
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TInterval: Generates a confidence interval for the mean, comparing proportions of successes.
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2-SampTInt: Computes a confidence interval for the difference between the means of two populations.
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1-PropZTest: Conducts a hypothesis test for a proportion to evaluate significance.
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T-Test: A hypothesis test to compare means.
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2-SampTTest: Similar to T-Test but for two separate samples' means.
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2-PropZTest: Hypothesis test for comparing proportions between two populations, utilizing a pooled sample proportion.
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x-squared test: Provides the chi-squared value and p-value for testing the null hypothesis (H0) of no association between categorical variables.
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LinRegTTest: Applies linear regression to test the null hypothesis (H0: B = 0), with the regression output stored in RegEQ and residuals in RESID.
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Description
Explore essential functions for AP Statistics with these flashcards. Learn terms like STAT PLOTS, 1-Var Stats, and more, along with their definitions and uses in statistical analysis. Perfect for mastering calculator functionalities for your exam preparation.