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1 Exploring One-Variable Data and Collecting Data

1.1 Introducing Statistics: What Can We Learn from Data?

1.3 Tabular Representation and Summary Statistics for One Categorical Variable

1.4 Graphical Representations for One Categorical Variable

1.5 Graphical Representations for One Quantitative Variable

1.6 Descriptions for One Quantitative Variable Distributions

1.7 Summary Statistics for One Quantitative Variable

1.7.A—Calculate measures of center and position for quantitative data

1.7.B—Calculate measures of variability for quantitative data

1.7.C—Calculate different units of measurement for summary statistics

1.7.D—Calculate outliers for quantitative data

1.7.E—Compare multiple quantitative one-variable summary statistics

1.7.F—Justify the selection of a summary statistic for describing quantitative data

1.8 Graphical Representations of Summary Statistics

1.9 Comparisons of the Distributions for One Quantitative Variable

1.10 The Investigative Question Revisited and Data Collection

1.11 Random Sampling

1.12 Potential Problems with Sampling

1.13 Experimental Design

2 Probability, Random Variables, and Probability Distributions

3 Inference for Categorical Data: Proportions

4 Inference for Quantitative Data: Means

5 Regression Analysis

AP/Statistics/Concept//1 Exploring One-Variable Data and Collecting Data/1.7 Summary Statistics for One Quantitative Variable/1.7.B—Calculate measures of variability for quantitative data

1 Exploring One-Variable Data and Collecting Data

Syllabus: 2026
Section: 1
Level: —

Exam analysis

Most tested topics

Introducing Statistics: What Can We Learn from Data?
Variables
Tabular Representation and Summary Statistics for One Categorical Variable
Graphical Representations for One Categorical Variable
Graphical Representations for One Quantitative Variable
Descriptions for One Quantitative Variable Distributions
Summary Statistics for One Quantitative Variable
Graphical Representations of Summary Statistics
Comparisons of the Distributions for One Quantitative Variable
The Investigative Question Revisited and Data Collection
Random Sampling
Potential Problems with Sampling
Experimental Design