Preparing for the AP* Statistics Exam from edX

This course will introduce students to the major concepts and tools for collecting, analyzing and drawing conclusions from data. Students are exposed to four broad conceptual themes:

Exploring Data: Describing patterns and departures from patterns

Sampling and Experimentation: Planning and conducting a study

Anticipating Patterns: Exploring random phenomena using probability and simulation

Statistical Inference: Estimating population parameters and testing hypotheses

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What you'll learn

Exploring Data: Describing patterns and departures from patterns
Sampling and Experimentation: Planning and conducting a study
Anticipating Patterns: Exploring random phenomena using probability and simulation
Statistical Inference: Estimating population parameters and testing hypotheses

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers basic themes and methods for describing and drawing conclusions from data

Suitable for high school students preparing for AP* Exam Preparation Courses

Covers preparing for and conducting studies, gathering samples, and drawing conclusions

Reviews summary

Ap* exam prep success

AP* Exam Preparation is a very well-received course that will help prepare students for their exams. With a rating of 5.0 on this site, students love the way that the course instructor breaks down complex concepts with real-world examples that they are able to understand.

Career center

Learners who complete Preparing for the AP* Statistics Exam will develop knowledge and skills that may be useful to these careers:

Statistician

Statisticians collect and analyze data to help businesses and organizations make informed decisions. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for statisticians.

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Market Researcher

Market Researchers conduct studies to collect data about consumer behavior. They use this data to help businesses develop and market their products and services. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for market researchers.

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Data Scientist

Data Scientists use data to solve business problems. They collect, clean, and analyze data to extract insights and make recommendations. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for data scientists.

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Survey Researcher

Survey Researchers design and conduct surveys to collect data about the opinions and behaviors of people. They use this data to help businesses and organizations make informed decisions. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for survey researchers.

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Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of businesses and organizations. They use mathematical models to analyze problems and develop solutions. This course may be useful for students interested in this field, as it provides a foundation in the principles of data analysis and optimization. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for operations research analysts.

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Financial Analyst

Financial Analysts use data to evaluate investments. They make recommendations to clients on which stocks, bonds, and other financial products to buy or sell. This course may be useful for students interested in this field, as it provides a foundation in the principles of data analysis and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for financial analysts.

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Actuary

Actuaries use mathematics to assess risk and uncertainty. They work in a variety of industries, including insurance, finance, and healthcare. This course may be useful for students interested in this field, as it provides a foundation in the principles of probability and statistics. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for actuaries.

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Epidemiologist

Epidemiologists study the causes and spread of disease. They use data to track disease outbreaks and develop strategies to prevent and control them. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for epidemiologists.

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Biostatistician

Biostatisticians use data to solve problems in healthcare. They design and conduct studies to evaluate the effectiveness of new drugs and treatments. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for biostatisticians.

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Business Analyst

Business Analysts use data to help businesses make informed decisions. They analyze data to identify trends and patterns, and they develop recommendations for how businesses can improve their operations. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for business analysts.

See salaries and explore the career path for Business Analyst

Data Analyst

Data Analysts use data to solve business problems. They clean, analyze, and visualize data to help businesses make informed decisions. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for data analysts.

See salaries and explore the career path for Data Analyst

Risk Analyst

Risk Analysts assess and manage risk for businesses and organizations. They use data to identify and evaluate risks, and they develop strategies to mitigate those risks. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for risk analysts.

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Quantitative Analyst

Quantitative Analysts use data to make investment decisions. They develop and use mathematical models to analyze financial data and make recommendations on which stocks, bonds, and other financial products to buy or sell. This course may be useful for students interested in this field, as it provides a foundation in the principles of data analysis and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for quantitative analysts.

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Data Warehouse Analyst

Data Warehouse Analysts design and manage data warehouses. They use data to create reports and dashboards that help businesses make informed decisions. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for data warehouse analysts.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They use data to understand user needs and to develop software that meets those needs. This course may be useful for students interested in this field, as it provides a foundation in the principles of data collection, analysis, and inference. The course covers topics such as exploring data, sampling and experimentation, anticipating patterns, and statistical inference, which are all essential skills for software engineers.

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