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Arimoro Olayinka Imisioluwa
Welcome to this project-based course Hypothesis Testing in R. In this project, you will learn how to perform extensive hypothesis tests for one and two samples in R.
Read more
Welcome to this project-based course Hypothesis Testing in R. In this project, you will learn how to perform extensive hypothesis tests for one and two samples in R.
Read more
Welcome to this project-based course Hypothesis Testing in R. In this project, you will learn how to perform extensive hypothesis tests for one and two samples in R.
By the end of this 2-hour long project, you will understand the rationale behind performing hypothesis testing. Also, you will learn how to perform hypothesis tests for proportions and means. By extension, you will learn how to perform a hypothesis test for means of matched or paired samples in R.
Note, you do not need to be a statistical analyst or data scientist to be successful in this guided project, just a familiarity with basic statistics and using R suffice for this project. If you are not familiar with R and want to learn the basics, start with my previous guided project titled “Getting Started with R”, and "Calculating Descriptive Statistics in R".
A fundamental prerequisite is having a good understanding of the theory of hypothesis test.
Register for this course and see more details by visiting:
OpenCourser.com/course/d7ek78/hypothesis
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What's inside
Syllabus
Project Overview
Welcome to this project-based course Hypothesis Testing in R. In this project, you will learn how to perform extensive hypothesis tests for one and two samples in R. By the end of this 2-hour long project, you will understand the rationale behind performing hypothesis testing. Also, you will learn how to perform hypothesis tests for proportions and means. By extension, you will learn how to perform a hypothesis test for means of matched or paired samples in R. Note, you do not need to be a Statistical Analyst or Data Scientist to be successful in this guided project, just a familiarity with basic statistics and R. If you are not familiar with R and want to learn the basics, start with my previous guided project titled “Getting Started with R”, and "Calculating Descriptive Statistics in R". A fundamental prerequisite is having a good understanding of the theory of hypothesis test.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Well-suited for students with a background in basic statistics and familiarity with R
Designed for learners who seek to advance their understanding of hypothesis testing
May be less suitable for complete beginners in statistics or R
Provides a foundation for further exploration in hypothesis testing
Could benefit from additional hands-on exercises or real-world case studies
Does not require prior knowledge of advanced statistical concepts
Save this course
Save Hypothesis Testing in R to your list so you can find it easily later:
Save
Save
Reviews summary
Good course with some issues
Learners say that this Hypothesis Testing in R course has engaging assignments, but poor sound quality from the instructor is a common complaint. Others had issues understanding the instructor's accent.
Students enjoy the lab coursework.
"Excellent laboratory coursework in Inferential Statistics with R."
"Well-organized project and supporting materials to the point."
Some students had difficulty understanding the instructor's accent.
"El acento del instructor fue complicado de entender..."
Poor sound quality can be distracting.
"It's a good course, but the sound quality is poor."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Hypothesis Testing in R with these
activities:
Read Statistical Inference by George Casella and Roger L. Berger
Show steps
Gain a deeper understanding of statistical inference concepts covered in the course by reading this foundational book.
View
Statistical Inference (Chapman & Hall/CRC Texts...
on Amazon
Show steps
-
Read the assigned chapters
-
Take notes on key concepts
-
Complete practice problems
Review basic algebra
Show steps
Review the fundamentals of algebra to solidify your understanding before starting the course.
Browse courses on
Algebra
Show steps
-
Review the basics of algebra
-
Practice solving equations
-
Practice solving inequalities
Find a mentor experienced in hypothesis testing
Show steps
Accelerate your learning by connecting with an experienced mentor who can provide guidance and support.
Browse courses on
Hypothesis Testing
Show steps
-
Identify potential mentors
-
Reach out to potential mentors
-
Build a mentoring relationship
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow tutorials on hypothesis testing in R
Show steps
Supplement your learning by exploring online tutorials on hypothesis testing.
Browse courses on
Hypothesis Testing
Show steps
-
Find online tutorials
-
Follow the tutorials
-
Complete any practice exercises
Solve practice problems on hypothesis testing
Show steps
Reinforce your understanding of hypothesis testing concepts by solving practice problems using R.
Browse courses on
Hypothesis Testing
Show steps
-
Find practice problems online or in textbooks
-
Solve the problems using R
-
Check your answers against the provided solutions
Attend a workshop on hypothesis testing
Show steps
Gain practical experience and insights by attending a workshop focused on hypothesis testing.
Browse courses on
Hypothesis Testing
Show steps
-
Find a relevant workshop
-
Register for the workshop
-
Attend the workshop
Write a blog post explaining a hypothesis testing concept
Show steps
Enhance your understanding by explaining a hypothesis testing concept to others.
Browse courses on
Hypothesis Testing
Show steps
-
Choose a hypothesis testing concept
-
Research the concept
-
Write a blog post explaining the concept
Create a data visualization project
Show steps
Apply your knowledge of hypothesis testing and data visualization to a real-world dataset.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset
-
Perform exploratory data analysis
-
Create data visualizations
-
Write a report summarizing your findings
Read Statistical Inference by George Casella and Roger L. Berger
Show steps
Gain a deeper understanding of statistical inference concepts covered in the course by reading this foundational book.
View
Statistical Inference (Chapman & Hall/CRC Texts...
on Amazon
Show steps
Show steps
Show steps
- Read the assigned chapters
- Take notes on key concepts
- Complete practice problems
Review basic algebra
Show steps
Review the fundamentals of algebra to solidify your understanding before starting the course.
Browse courses on
Algebra
Show steps
Show steps
Show steps
- Review the basics of algebra
- Practice solving equations
- Practice solving inequalities
Find a mentor experienced in hypothesis testing
Show steps
Accelerate your learning by connecting with an experienced mentor who can provide guidance and support.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Identify potential mentors
- Reach out to potential mentors
- Build a mentoring relationship
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow tutorials on hypothesis testing in R
Show steps
Supplement your learning by exploring online tutorials on hypothesis testing.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Find online tutorials
- Follow the tutorials
- Complete any practice exercises
Solve practice problems on hypothesis testing
Show steps
Reinforce your understanding of hypothesis testing concepts by solving practice problems using R.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks
- Solve the problems using R
- Check your answers against the provided solutions
Attend a workshop on hypothesis testing
Show steps
Gain practical experience and insights by attending a workshop focused on hypothesis testing.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Find a relevant workshop
- Register for the workshop
- Attend the workshop
Write a blog post explaining a hypothesis testing concept
Show steps
Enhance your understanding by explaining a hypothesis testing concept to others.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Choose a hypothesis testing concept
- Research the concept
- Write a blog post explaining the concept
Create a data visualization project
Show steps
Apply your knowledge of hypothesis testing and data visualization to a real-world dataset.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset
- Perform exploratory data analysis
- Create data visualizations
- Write a report summarizing your findings
Career center
Learners who complete Hypothesis Testing in R will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
Statisticians use hypothesis testing in almost every aspect of their work. This course can provide a strong foundation in hypothesis testing for Statisticians who want to excel in their field.
Data Scientist
Data Scientist
Data Scientists use hypothesis testing to understand data and make better decisions. This course can provide a foundation in hypothesis testing for Data Scientists who want to build a strong quantitative skillset.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts rely heavily on hypothesis testing in their work. This course can provide a strong foundation in hypothesis testing for Quantitative Analysts who want to build a strong quantitative skillset.
Biostatistician
Biostatistician
Biostatisticians use hypothesis testing to analyze medical data. This course can provide a strong foundation in hypothesis testing for Biostatisticians who want to develop their statistical skills.
Public Health Researcher
Public Health Researcher
Public Health Researchers use hypothesis testing to understand the causes of disease and improve public health. This course can provide a foundation in hypothesis testing for Public Health Researchers who want to build a strong quantitative skillset.
Financial Analyst
Financial Analyst
Financial Analysts often use hypothesis testing to evaluate the performance of investments. This course can provide a strong foundation in hypothesis testing for Financial Analysts who want to build a strong quantitative skillset.
Epidemiologist
Epidemiologist
Epidemiologists use hypothesis testing to understand the causes of disease. This course can provide a foundation in hypothesis testing for Epidemiologists who want to build a strong quantitative skillset.
Market Researcher
Market Researcher
Market Researchers use hypothesis testing to understand the market and make better decisions. This course can provide a foundation in hypothesis testing for Market Researchers who want to understand how to make better decisions for their companies.
Healthcare Consultant
Healthcare Consultant
Healthcare Consultants use hypothesis testing to improve the efficiency of healthcare systems. This course can provide a foundation in hypothesis testing for Healthcare Consultants who want to advance their careers.
Business Analyst
Business Analyst
Business Analysts use hypothesis testing to solve business problems. This course can provide a foundation in hypothesis testing for Business Analysts who want to improve their problem-solving skills.
Risk Analyst
Risk Analyst
Risk Analysts use hypothesis testing to evaluate risks. This course can provide a foundation in hypothesis testing for Risk Analysts who want to develop their risk management skills.
Clinical Research Associate
Clinical Research Associate
Clinical Research Associates use hypothesis testing to evaluate the safety and efficacy of new drugs and treatments. This course can provide a foundation in hypothesis testing for Clinical Research Associates who want to advance their careers.
Data Analyst
Data Analyst
Hypothesis testing is a powerful tool that Data Analysts use every day. This course can help build a foundation in hypothesis testing for Data Analysts who want to advance their careers.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use hypothesis testing to improve the efficiency of operations. This course can provide a foundation in hypothesis testing for Operations Research Analysts who want to improve their problem-solving skills.
Medical Writer
Medical Writer
Medical Writers use hypothesis testing to write clear and concise scientific documents. This course can provide a strong foundation in hypothesis testing for Medical Writers who want to improve their writing skills.
For more career information including salaries, visit:
OpenCourser.com/course/d7ek78/hypothesis
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Hypothesis Testing in R.
Provides a comprehensive overview of statistical inference, including hypothesis testing. It valuable resource for students and researchers who need to understand the theoretical foundations of statistical inference.
Provides a comprehensive overview of statistical methods used in psychology, including hypothesis testing. It valuable resource for students and researchers in psychology and related fields.
Provides a comprehensive overview of mathematical statistics, including hypothesis testing. It valuable resource for students and researchers who need to understand the mathematical foundations of statistical inference.
Provides a practical introduction to statistics, including hypothesis testing. It valuable resource for students and researchers who need to apply statistical methods to real-world problems.
Save
Provides a comprehensive overview of biostatistics, including hypothesis testing. It valuable resource for students and researchers in medicine and related fields.
Provides a comprehensive overview of statistical methods used in the social sciences, including hypothesis testing. It valuable resource for students and researchers in the social sciences.
Provides a comprehensive overview of statistics used in business and financial economics, including hypothesis testing. It valuable resource for students and researchers in business and financial economics.
Provides a comprehensive overview of statistics, including hypothesis testing. It valuable resource for students and researchers who need to understand the basics of statistics.
Provides a comprehensive introduction to statistics using the R programming language. It covers the basics of hypothesis testing in R, as well as more advanced topics such as regression analysis and ANOVA.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/d7ek78/hypothesis
Share
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Arimoro Olayinka Imisioluwa
Language
English
Good to know
Well-suited for students with a background in basic statistics and familiarity with R
Designed for learners who seek to advance their understanding of hypothesis testing
May be less suitable for complete beginners in statistics or R
Provides a foundation for further exploration in hypothesis testing
Could benefit from additional hands-on exercises or real-world case studies
Does not require prior knowledge of advanced statistical concepts
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