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All Key Terms
AP Statistics
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AP Statistics
Key Terms
830 essential vocabulary terms and definitions to know for your AP Statistics exam
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AP Statistics
Key Terms by Unit
Unit 1 – Exploring One–Variable Data
1.10 The Normal Distribution
1.2 The Language of Variation
1.3 Representing a Categorical Variable with Tables
1.4 Representing a Categorical Variable with Graphs
1.5 Representing a Quantitative Variable with Graphs
1.6 Describing the Distribution of a Quantitative Variable
1.7 Summary Statistics for a Quantitative Variable
1.8 Graphical Representations of Summary Statistics
1.9 Comparing Distributions of a Quantitative Variable
Unit 2 – Exploring Two–Variable Data
2.1 Introducing Statistics
2.2 Representing Two Categorical Variables
2.3 Statistics for Two Categorical Variables
2.4 Representing the Relationship Between Two Quantitative Variables
2.5 Correlation
2.6 Linear Regression Models
2.7 Residuals
2.8 Least Squares Regression
2.9 Analyzing Departures from Linearity
Unit 3 – Collecting Data
3.1 Introducing Statistics
3.2 Introduction to Planning a Study
3.3 Random Sampling and Data Collection
3.4 Potential Problems with Sampling
3.5 Introduction to Experimental Design
3.6 Selecting an Experimental Design
3.7 Inference and Experiments
Unit 4 – Probability, Random Variables, and Probability Distributions
4.10 Introduction to the Binomial Distribution
4.1 Introducing Statistics
4.11 Parameters for a Binomial Distribution
4.12 The Geometric Distribution
4.2 Estimating Probabilities Using Simulation
4.3 Introduction to Probability
4.4 Mutually Exclusive Events
4.5 Conditional Probability
4.6 Independent Events and Unions of Events
4.7 Introduction to Random Variables and Probability Distributions
4.8 Mean and Standard Deviation of Random Variables
4.9 Combining Random Variables
Unit 5 – Sampling Distributions
5.1 Introducing Statistics
5.2 The Normal Distribution, Revisited
5.3 The Central Limit Theorem
5.4 Biased and Unbiased Point Estimates
5.5 Sampling Distributions for Sample Proportions
5.6 Sampling Distributions for Differences in Sample Proportions
5.7 Sampling Distributions for Sample Means
5.8 Sampling Distributions for Differences in Sample Means
Unit 6 – Proportions
6.10 Setting Up a Test for the Difference of Two Population Proportions
6.1 Introducing Statistics
6.11 Carrying Out a Test for the Difference of Two Population Proportions
6.2 Constructing a Confidence Interval for a Population Proportion
6.3 Justifying a Claim Based on a Confidence Interval for a Population Proportion
6.4 Setting Up a Test for a Population Proportion
6.5 Interpreting p-Values
6.6 Concluding a Test for a Population Proportion
6.7 Potential Errors When Performing Tests
6.8 Confidence Intervals for the Difference of Two Proportions
6.9 Justifying a Claim Based on a Confidence Interval for a Difference of Population Proportions
Unit 7 – Means
7.1 Introducing Statistics
7.2 Constructing a Confidence Interval for a Population Mean
7.3 Justifying a Claim About a Population Mean Based on a Confidence Interval
7.4 Setting Up a Test for a Population Mean
7.5 Carrying Out a Test for a Population Mean
7.6 Confidence Intervals for the Difference of Two Means
7.7 Justifying a Claim About the Difference of Two Means Based on a Confidence Interval
7.8 Setting Up a Test for the Difference of Two Population Means
7.9 Carrying Out a Test for the Difference of Two Population Means
Unit 8 – Chi–Squares
8.1 Introducing Statistics
8.2 Setting Up a Chi Square Goodness of Fit Test
8.3 Carrying Out a Chi Square Goodness of Fit Test
8.4 Expected Counts in Two Way Tables
8.5 Setting Up a Chi-Square Test for Homogeneity or Independence
8.6 Carrying Out a Chi-Square Test for Homogeneity or Independence
Unit 9 – Slopes
9.1 Introducing Statistics
9.2 Confidence Intervals for the Slope of a Regression Model
9.3 Justifying a Claim About the Slope of a Regression Model Based on a Confidence Interval
9.4 Setting Up a Test for the Slope of a Regression Model
9.5 Carrying Out a Test for the Slope of a Regression Model
Browse All A-Z
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#
χ2
χ2 Statistic
χ2 Test for Homogeneity
χ2 Test for Independence
χ2 tests
χ2 value
√Var(X)
1-Prop Z-Test
10% Condition
10% condition for independence
10% Rule
2 Prop Z Interval
2 Proportion Z Test
2 Sample T Interval
90% Confidence Interval
90% confidence level
95% Confidence Interval
95% Confidence Level
99% Confidence Interval
99% Confidence Level
A
Accept
Actual Proportion
Adults
Age groups
Alpha (ɑ)
Alpha Level
Alpha Level (α = 0.05)
Alternate Hypothesis
Alternate Hypothesis (Ha)
Alternative
Alternative Hypothesis
Alternative Hypothesis (Ha)
Anxiety Levels
AP Stats (Advanced Placement Statistics)
Assembly Lines
Associated
Association
Associations
Assumption of normality
Assumptions
Athletic performance
Average
Average height
Average weights
B
Bar Chart
Bar charts
Bar Graph
Bar Graphs
Bell Curve
Bias
Bias in Surveys
BinomCDF
Binomial conditions
Binomial Distribution
Binomial Model
Binomial Population Proportions
Binomial Random Variable
Binomial Setting
BinomialCDF
BinomPDF
Bivariate Categorical Data
Bivariate Data
Bivariate Quantitative Data
Bivariate Variable
Blocked Design
Blocking
Blocking Design
Blocking Variable
Blood Pressure
Blue eyes
BMI (Body Mass Index)
Box Plot
Box Plots
Boxplot
Brand
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