AP Statistics · ⁨AP 统计学⁩

1.1 Introducing Statistics: What Can We Learn from Data? · ⁨统计学导论：我们能从数据中学到什么？⁩ 1.2 The Language of Variation: Variables · ⁨变异的语言：变量⁩ 1.3 Representing a Categorical Variable with Tables · ⁨用表格表示分类变量⁩ 1.4 Representing a Categorical Variable with Graphs · ⁨用图形表示分类变量⁩ 1.5 Representing a Quantitative Variable with Graphs · ⁨用图形表示定量变量⁩ 1.6 Describing the Distribution of a Quantitative Variable · ⁨描述定量变量的分布⁩ 1.7 Summary Statistics for a Quantitative Variable · ⁨定量变量的汇总统计量⁩ 1.8 Graphical Representations of Summary Statistics · ⁨汇总统计量的图形表示⁩ 1.9 Comparing Distributions of a Quantitative Variable · ⁨比较定量变量的分布⁩ 1.10 The Normal Distribution · ⁨正态分布⁩

2.1 Introducing Statistics: Are Variables Related? · ⁨统计学导论：变量之间有关联吗？⁩ 2.2 Representing Two Categorical Variables · ⁨表示两个分类变量⁩ 2.3 Statistics for Two Categorical Variables · ⁨两个分类变量的统计量⁩ 2.4 Representing the Relationship Between Two Quantitative Variables · ⁨表示两个定量变量之间的关系⁩ 2.5 Correlation · ⁨相关性⁩ 2.6 Linear Regression Models · ⁨线性回归模型⁩ 2.7 Residuals · ⁨残差⁩ 2.8 Least Squares Regression · ⁨最小二乘回归⁩ 2.9 Analyzing Departures from Linearity · ⁨分析偏离线性的情况⁩

3.1 Introducing Statistics: Do the Data We Collected Tell the Truth? · ⁨统计学导论：我们收集的数据说的是真相吗？⁩ 3.2 Introduction to Planning a Study · ⁨研究规划导论⁩ 3.3 Random Sampling and Data Collection · ⁨随机抽样与数据收集⁩ 3.4 Potential Problems with Sampling · ⁨抽样的潜在问题⁩ 3.5 Introduction to Experimental Design · ⁨实验设计导论⁩ 3.6 Selecting an Experimental Design · ⁨选择实验设计⁩ 3.7 Inference and Experiments · ⁨推断与实验⁩

4.1 Introducing Statistics: Random and Non-Random Patterns? · ⁨统计学导论：随机与非随机模式？⁩ 4.2 Estimating Probabilities Using Simulation · ⁨用模拟估计概率⁩ 4.3 Introduction to Probability · ⁨概率导论⁩ 4.4 Mutually Exclusive Events · ⁨互斥事件⁩ 4.5 Conditional Probability · ⁨条件概率⁩ 4.6 Independent Events and Unions of Events · ⁨独立事件与事件的并⁩ 4.7 Introduction to Random Variables and Probability Distributions · ⁨随机变量与概率分布导论⁩ 4.8 Mean and Standard Deviation of Random Variables · ⁨随机变量的均值与标准差⁩ 4.9 Combining Random Variables · ⁨组合随机变量⁩ 4.10 Introduction to the Binomial Distribution · ⁨二项分布导论⁩ 4.11 Parameters for a Binomial Distribution · ⁨二项分布的参数⁩ 4.12 The Geometric Distribution · ⁨几何分布⁩

5.1 Introducing Statistics: Why Is My Sample Not Like Yours? · ⁨统计学导论：为什么我的样本与你的不同？⁩ 5.2 The Normal Distribution, Revisited · ⁨再探正态分布⁩ 5.3 The Central Limit Theorem · ⁨中心极限定理⁩ 5.4 Biased and Unbiased Point Estimates · ⁨有偏与无偏点估计⁩ 5.5 Sampling Distributions for Sample Proportions · ⁨样本比例的抽样分布⁩ 5.6 Sampling Distributions for Differences in Sample Proportions · ⁨样本比例之差的抽样分布⁩ 5.7 Sampling Distributions for Sample Means · ⁨样本均值的抽样分布⁩ 5.8 Sampling Distributions for Differences in Sample Means · ⁨样本均值之差的抽样分布⁩

6.1 Introducing Statistics: Why Be Normal? · ⁨统计学导论：为什么要用正态？⁩ 6.2 Constructing a Confidence Interval for a Population Proportion · ⁨构建总体比例的置信区间⁩ 6.3 Justifying a Claim Based on a Confidence Interval for a Population Proportion · ⁨基于总体比例置信区间论证结论⁩ 6.4 Setting Up a Test for a Population Proportion · ⁨建立总体比例的检验⁩ 6.5 Interpreting p-Values · ⁨解释 p 值⁩ 6.6 Concluding a Test for a Population Proportion · ⁨得出总体比例检验的结论⁩ 6.7 Potential Errors When Performing Tests · ⁨进行检验时的潜在错误⁩ 6.8 Confidence Intervals for the Difference of Two Proportions · ⁨两个比例之差的置信区间⁩ 6.9 Justifying a Claim Based on a Confidence Interval for a Difference of Population Proportions · ⁨基于两个总体比例之差的置信区间论证结论⁩ 6.10 Setting Up a Test for the Difference of Two Population Proportions · ⁨建立两个总体比例之差的检验⁩ 6.11 Carrying Out a Test for the Difference of Two Population Proportions · ⁨执行两个总体比例之差的检验⁩

7.1 Introducing Statistics: Should I Worry About Error? · ⁨统计学导论：我应该担心误差吗？⁩ 7.2 Constructing a Confidence Interval for a Population Mean · ⁨构建总体均值的置信区间⁩ 7.3 Justifying a Claim About a Population Mean Based on a Confidence Interval · ⁨基于置信区间论证关于总体均值的结论⁩ 7.4 Setting Up a Test for a Population Mean · ⁨建立总体均值的检验⁩ 7.5 Carrying Out a Test for a Population Mean · ⁨执行总体均值的检验⁩ 7.6 Confidence Intervals for the Difference of Two Means · ⁨两个均值之差的置信区间⁩ 7.7 Justifying a Claim About the Difference of Two Means Based on a Confidence Interval · ⁨基于置信区间论证关于两个均值之差的结论⁩ 7.8 Setting Up a Test for the Difference of Two Population Means · ⁨建立两个总体均值之差的检验⁩ 7.9 Carrying Out a Test for the Difference of Two Population Means · ⁨执行两个总体均值之差的检验⁩ 7.10 Skills Focus: Selecting, Implementing, and Communicating Inference Procedures · ⁨技能聚焦：选择、实施与表达推断方法⁩

8.1 Introducing Statistics: Are My Results Unexpected? · ⁨统计学导论：我的结果出乎意料吗？⁩ 8.2 Setting Up a Chi-Square Goodness of Fit Test · ⁨建立卡方拟合优度检验⁩ 8.3 Carrying Out a Chi-Square Test for Goodness of Fit · ⁨执行卡方拟合优度检验⁩ 8.4 Expected Counts in Two-Way Tables · ⁨双向表中的期望频数⁩ 8.5 Setting Up a Chi-Square Test for Homogeneity or Independence · ⁨建立卡方齐性或独立性检验⁩ 8.6 Carrying Out a Chi-Square Test for Homogeneity or Independence · ⁨执行卡方齐性或独立性检验⁩ 8.7 Skills Focus: Selecting an Appropriate Inference Procedure for Categorical Data · ⁨技能聚焦：为分类数据选择合适的推断方法⁩

9.1 Introducing Statistics: Do Those Points Align? · ⁨统计学导论：这些点在一条线上吗？⁩ 9.2 Confidence Intervals for the Slope of a Regression Model · ⁨回归模型斜率的置信区间⁩ 9.3 Justifying a Claim About the Slope of a Regression Model Based on a Confidence Interval · ⁨基于置信区间论证关于回归模型斜率的结论⁩ 9.4 Setting Up a Test for the Slope of a Regression Model · ⁨建立回归模型斜率的检验⁩ 9.5 Carrying Out a Test for the Slope of a Regression Model · ⁨执行回归模型斜率的检验⁩ 9.6 Skills Focus: Selecting an Appropriate Inference Procedure · ⁨技能聚焦：选择合适的推断方法⁩