MATH Courses for School GPA STARPREP® MATHEMATICS PROGRAMSAP® Statistics
AP® Statistics is an introductory college-level statistics course that introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Students cultivate their understanding of statistics using technology, investigations, problem solving, and writing as they explore concepts like variation and distribution; patterns and uncertainty; and data-based predictions, decisions, and conclusions.
AP® Statistics
STARPREP®에서 제공하는 AP® Statistics 프로그램은 총 2개의 PHASES (GPA-Boosting Course / 2023 MAY' TEST-PREP Course)으로 나뉘어지며 학생/반의 수준에 따라 진도가 정해집니다.
[학생의 성적/수업 이해도을 고려하는 수업 진행]
for Graders 9-12 (STARPREP® course code: APSTA)
Professor Yeeun Sung (UC Berkeley, BS 학사졸업, 9년차 경력)
Registration Board
High School AP® Statistics
Lecture Dates/Registration Status
Every Saturday 6:00am-9:00pm starting from August 6, 2022
★ AP® Statistics GPA-Boosting Course ★ 학교 내신점수향상 대비반
Professor Yeeun Sung (UC Berkeley, BS 학사졸업, 경력 9년차)
★2022-2023 AP® Statistics ★
AP® Statistics GPA-Boosting Course 학교 내신점수향상 대비반
Students' Satisfaction : above 95%
Optimizing Concurrent Classrooms (In the Classroom And Online Simultaneously)
AP® Statistics
AP® Statistics
Curriculum Guide
High School AP® Statistics
01One-Variable Data Analysis
1-1  Introducing Statistics: What Can We Learn from Data? 1-2  The Language of Variation: Variables 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 1-10  The Normal Distribution 1-11  Review 1-12  Practice Problems 1-13  Cumulative Review Problems
02Two-Variable Data Analysis
2-1  Introducing Statistics: Are Variables Related? 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 2-10  Review 2-11  Practice Problems 2-12  Cumulative Review Problems
03Collecting Data
3-1  Introducing Statistics: Do the Data We Collected Tell the Truth? 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 3-8  Review 3-9  Practice Problems 3-10  Cumulative Review Problems
04Probability,Random Variables, and Probability Distributions
4-1  Introducing Statistics: Random and Non-Random Patterns? 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 4-10  Introduction to the Binomial Distribution 4-11  Parameters for a Binomial Distribution 4-12  The Geometric Distribution 4-13  Review 4-14  Practice Problems 4-15  Cumulative Review Problems
05Sampling distributions
5-1  Introducing Statistics: Why Is My Sample Not Like Yours? 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 5-9  Review 5-10  Practice Problems 5-11  Cumulative Review Problems
06Inference for Categorical Data: Proportions
6-1  Introducing Statistics: Why Be Normal? 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 Proportion 6-9  Justifying a Claim Based on a Confidence Interval for a Difference of Population proportions 6-10  Setting Up a Test for the Difference of Two Population Proportions 6-11  Carrying Out a Test for the Difference of Two Population Proportions 6-12  Review 6-13  Practice Problems 6-14  Cumulative Review Problems
07Inference for Quantitative Data: Means
7-1  Introducing Statistics: Should I Worry About Error? 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 7-10  Skills Focus: Selecting, Implementing, and Communicating Inference Procedures 7-11  Review 7-12  Practice Problems 7-13  Cumulative Review Problems
08Inference for Categorical Data: Chi-Square
8-1  Introducing Statistics: Are My Results Unexpected? 8-2  Setting Up a Chi-Square Goodness of Fit Test 8-3  Carrying Out a Chi-Square Test for Goodness of Fit 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 8-7  Skills Focus: Selecting an Appropriate Inference Procedure for Categorical Data 8-8  Review 8-9  Practice Problems 8-10  Cumulative Review Problems
09Inference for Quantitative Data: Slopes
9-1  Introducing Statistics: Do Those Points Align? 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 9-6  Skills Focus: Selecting an Appropriate Inference Procedure 9-7  Review 9-8  Practice Problems 9-9  Cumulative Review Problems
01One-Variable Data Analysis
1-1  Introducing Statistics: What Can We Learn from Data? 1-2  The Language of Variation: Variables 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 1-10  The Normal Distribution 1-11  Review 1-12  Practice Problems 1-13  Cumulative Review Problems
02Two-Variable Data Analysis
2-1  Introducing Statistics: Are Variables Related? 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 2-10  Review 2-11  Practice Problems 2-12  Cumulative Review Problems
03Collecting Data
3-1  Introducing Statistics: Do the Data We Collected Tell the Truth? 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 3-8  Review 3-9  Practice Problems 3-10  Cumulative Review Problems
04Probability,Random Variables, and Probability Distributions
4-1  Introducing Statistics: Random and Non-Random Patterns? 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 4-10  Introduction to the Binomial Distribution 4-11  Parameters for a Binomial Distribution 4-12  The Geometric Distribution 4-13  Review 4-14  Practice Problems 4-15  Cumulative Review Problems
05Sampling distributions
5-1  Introducing Statistics: Why Is My Sample Not Like Yours? 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 5-9  Review 5-10  Practice Problems 5-11  Cumulative Review Problems
06Inference for Categorical Data: Proportions
6-1  Introducing Statistics: Why Be Normal? 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 Proportion 6-9  Justifying a Claim Based on a Confidence Interval for a Difference of Population proportions 6-10  Setting Up a Test for the Difference of Two Population Proportions 6-11  Carrying Out a Test for the Difference of Two Population Proportions 6-12  Review 6-13  Practice Problems 6-14  Cumulative Review Problems
07Inference for Quantitative Data: Means
7-1  Introducing Statistics: Should I Worry About Error? 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 7-10  Skills Focus: Selecting, Implementing, and Communicating Inference Procedures 7-11  Review 7-12  Practice Problems 7-13  Cumulative Review Problems
08Inference for Categorical Data: Chi-Square
8-1  Introducing Statistics: Are My Results Unexpected? 8-2  Setting Up a Chi-Square Goodness of Fit Test 8-3  Carrying Out a Chi-Square Test for Goodness of Fit 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 8-7  Skills Focus: Selecting an Appropriate Inference Procedure for Categorical Data 8-8  Review 8-9  Practice Problems 8-10  Cumulative Review Problems
09Inference for Quantitative Data: Slopes
9-1  Introducing Statistics: Do Those Points Align? 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 9-6  Skills Focus: Selecting an Appropriate Inference Procedure 9-7  Review 9-8  Practice Problems 9-9  Cumulative Review Problems
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