AP Statistics Flashcards

Master AP Statistics concepts with interactive flashcards

Study Materials

Boost your retention and recall of essential AP Statistics terms and concepts with our engaging flashcards. Perfect for quick reviews or on-the-go studying, these flashcards make mastering statistical vocabulary and formulas easy and efficient.

Flashcard Topics

Data

45 decks

Bivariate Data

How to create residual plots

How to do logarithmic transformations

How to find correlation

How to find linearity

How to find outliers

How to find the least-squares regression line

Data Collection

Census And Studies

How to conduct a census

How to conduct an observational study

How to conduct a sample survey

How to define a sample set

How to define a survey population

How to do a random selection for a survey

How to do cluster sampling

How to do simple random sampling

How to do stratified random sampling

How to identify sources of bias in a survey

How to conduct an experiment

How to conduct matched pairs experiments

How to define control groups in an experiment

How to define experimental units

How to do random assignments in an experiment

How to establish blind experiments

How to identify confounding factors in an experiment

How to identify sources of bias in an experiment

How to identify the placebo effect in an experiment

Graphing Data

How to interpret dotplots

How to interpret histograms

How to interpret stemplots

Univariate Data

Data Sets And Z-scores

How to find descriptive data from a z-score

How to find z-scores for a data set

Univariate Data Descriptors

How to find the interquartile range for a set of data

How to find the mean for a set of data

How to find the median for a set of data

How to find the percentiles for a data set

How to find the quartiles for a set of data

How to find the range for a set of data

How to find the standard deviation for a set of data

How to use boxplots to summarize a data set

Inference

33 decks

Estimation

Confidence Intervals

Confidence and Proportion

How to find confidence intervals for a difference between two proportions

How to find confidence intervals for a proportion

Confidence Intervals and Mean

How to find confidence intervals for a difference between paired means

How to find confidence intervals for a difference between unpaired means

How to find confidence intervals for a mean

Confidence Intervals and Regression

How to find confidence intervals

How to find confidence intervals for the slope of a least-squares regression line

Estimates

How to estimate margins of errors

How to estimate population parameters

How to find point estimators

How to identify variability in estimations

Significance

Defining Errors

How to define a Type I error

How to define a Type II error

Large Sample Proportions

How to do large sample tests of significance for differences between two proportions

Mean and Linear Regression

How to do tests of significance for a difference between two means

How to do tests of significance for a mean

How to test of significance for the slope of a least-squares regression line

Significance Logic and Establishing Hypotheses

How to do one-sided tests of significance

How to do two-sided tests of significance

How to establish a null hypothesis

How to establish an alternate hypothesis

How to find p-values

Statistical Patterns and Random Phenomena

31 decks

Independent Random Variable Combination

Dependence and Independence

How to identify dependent variables

How to identify independent variables

Measures of Independent Random Variables

How to find the mean of the sum of independent random variables

How to find the standard deviation of the sum of independent random variables

Normal Distribution

How to identify characteristics of a normal distribution

How to use tables of normal distribution

Probability

Independent and Dependent Events

How to apply conditional probability

How to identify independent events

Random Variables

How to do the linear transformation of a random variable

How to find mean of a random variable

How to find probability distributions for discrete random variables

How to find standard deviation of a random variable

How to simulate random behavior

Rules of Probability

How to use the addition rule

How to use the multiplication rule

Sampling Distributions

Measures of Distributions

How to find the chi-square distribution

How to find the t-distribution

Properties of Single Sample Distributions

How to find sampling distribution of a sample mean

How to find sampling distribution of a sample proportion

How to use the Central Limit Theorem

Interpreting Categorical & Quantitative Data

12 decks

Compute and Interpret the Correlation Coefficient of a Linear Fit: CCSS.Math.Content.HSS-ID.C.8

Correlation vs. Causation: CCSS.Math.Content.HSS-ID.C.9

Fit a Function to the Data: CCSS.Math.Content.HSS-ID.B.6a

Fit a Linear Function for a Scatter Plot: CCSS.Math.Content.HSS-ID.B.6c

Fitting Data Sets to Normal Distribution and Estimating Area Under the Curve: CCSS.Math.Content.HSS-ID.A.4

Interpret Difference in Shape of Data Distribution: CCSS.Math.Content.HSS-ID.A.3

Interpret Slope and Intercept of a Linear Model: CCSS.Math.Content.HSS-ID.C.7

Plotting and Analyzing Residuals: CCSS.Math.Content.HSS-ID.B.6b

Represent Data with Plots: CCSS.Math.Content.HSS-ID.A.1

Summarize Interpret Categorical Data in Two-Way Frequency Tables: CCSS.Math.Content.HSS-ID.B.5

Two Quantitative Variables on a Scatter Plot: CCSS.Math.Content.HSS-ID.B.6

Use Statistics to Compare Center and Spread of Data Distribution: CCSS.Math.Content.HSS-ID.A.2

Conditional Probability & the Rules of Probability

9 decks

Apply and Interpret the Addition Rule: CCSS.Math.Content.HSS-CP.B.7

Conditional Probability as Fraction of Outcomes: CCSS.Math.Content.HSS-CP.B.6

Describe Events as Subsets of a Sample Space: CCSS.Math.Content.HSS-CP.A.1

Explain Conditional Probability and Independence: CCSS.Math.Content.HSS-CP.A.5

General Multiplication Rule in a Uniform Probability Model: CCSS.Math.Content.HSS-CP.B.8

Independent Events: CCSS.Math.Content.HSS-CP.A.2

Permutations and Combinations of Compound Events: CCSS.Math.Content.HSS-CP.B.9

Two-Way Frequency Tables: CCSS.Math.Content.HSS-CP.A.4

Understand Conditional Probability and Interpreting Independence: CCSS.Math.Content.HSS-CP.A.3

Using Probability to Make Decisions

9 decks

Assigning Numerical Value to Events in Sample Space and Graph Probability Distribution: CCSS.Math.Content.HSS-MD.A.1

Develop Probability Distribution for Random Variable with Empirically Assigned Probabilities: CCSS.Math.Content.HSS-MD.A.4

Develop Probability Distribution for Random Variable with Theoretically Probabilities: CCSS.Math.Content.HSS-MD.A.3

Evaluate and Compare Strategies of Expected Values: CCSS.Math.Content.HSS-MD.B.5b

Expected Payoff for a Game of Chance: CCSS.Math.Content.HSS-MD.B.5a

Expected Value of Random Variable: CCSS.Math.Content.HSS-MD.A.2

Possible Outcomes by Assigning Probabilities vs. Finding Expected Values: CCSS.Math.Content.HSS-MD.B.5

Probability Concepts to Analyze Decisions and Strategies: CCSS.Math.Content.HSS-MD.B.7

Use Probabilities to Make Fair Decisions: CCSS.Math.Content.HSS-MD.B.6

Making Inferences & Justifying Conclusions

6 decks

Compare Two Treatments from Randomized Experiment: CCSS.Math.Content.HSS-IC.B.5

Estimate Population Mean and Margin of Error: CCSS.Math.Content.HSS-IC.B.4

Evaluate Reports Based on Data: CCSS.Math.Content.HSS-IC.B.6

Making Inferences about Population Parameters from Random Sample: CCSS.Math.Content.HSS-IC.A.1

Randomization of Sample Surveys, Experiments, and Observational Studies: CCSS.Math.Content.HSS-IC.B.3

Simulations for Models: CCSS.Math.Content.HSS-IC.A.2

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