AP Statistics
Unlock the power of probability and analysis with Magna’s™ AI-powered study companion for AP Statistics. Students will get the additional support they need, complete with real-time feedback, to understand the essential concepts of data collection, analysis, and interpretation.
Students will practice statistical skills with our extensive library of over 8,000 practice questions and interactive resources. Our platform ensures that complex concepts are mastered though real-time personalized feedback, enhancing problem-solving abilities and boosting class performance.
- Utilize the largest question bank for AP Statistics to cover all key topics efficiently and thoroughly.
- Create custom quizzes and tests to focus on specific areas of improvement and mastery.
- Receive real-time, actionable feedback on all answers, including Free Response questions, to boost understanding and performance.
Excel in AP Statistics
AP Statistics delves into the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Study topics include exploring data patterns, sampling methods, and statistical inference. This course emphasizes the practical application of statistical techniques to real-world scenarios. With Magna™, students gain the skills necessary to interpret data accurately and make informed decisions, preparing for both classroom ad exam success in the field of statistics.
Complete Course Content
10 Topics, Over 1,000 Questions
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
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
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
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
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
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 Proportions
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
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
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
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
Achieve More with Magna
Flexible Learning
Select units, topics, question formats, and difficulty levels to cater to unique study needs and ensure comprehensive progress tracking.
Focus on Growth Areas
Spend time on the areas where support is most needed. Magna's technology records successful responses and focuses on the areas that need further practice.
Immediate Feedback
Magna's AI-powered technology analyzes student free-response answers against the benchmarks of success, providing immediate, actionable feedback to improve understanding.
Largest Question Library
Magna's comprehensive question library ensures complete coverage of all 79 topics covered in AP Statistics.
Ready to get started? It’s Free
Magna Education™ transforms how you tackle your most difficult subjects by leveraging cutting-edge AI to provide personalized, interactive learning experiences that adapt to individual strengths and weaknesses.