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Non parametric Tests using R Cmdr

Shalini Gopalkrishnan

In this project , you will learn how to conduct non parametric tests using Rcmdr. Non parametric tests are powerful tests which are conducted when underlying assumptions are not met in the data . After completing the project, you will be able to apply the appropriate test for the right data set. You will also learn how to do it in an easy to use Rcmdr.

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What's inside

Syllabus

Non Parametric Tests using R Cmdr
In this session we will learn about Non parametric tests using Rcmdr

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Aids learners in conducting non-parametric tests in R, a statistical software widely used in various fields
Appropriate for those with an understanding of statistical concepts and basic R usage

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Reviews summary

Well-received resource for statistical testing

Learners say that they appreciate this resource for non-parametric statistical testing using R. They describe the course as informative and helpful.

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 Non parametric Tests using R Cmdr with these activities:
Organize Non Parametric Test Resources
Organize non parametric test resources to improve accessibility and aid in review
Show steps
  • Gather resources
  • Create a system for organizing resources
  • Review resources regularly
Review Prerequisites for Non Parametric Tests
Refresh knowledge of probability and statistics to build a stronger foundation for non parametric tests
Browse courses on Probability
Show steps
  • Review probability concepts
  • Review statistical concepts
  • Solve practice problems
Review Non Parametric Statistical Methods
Review the fundamentals of non parametric statistical methods to build a strong foundation
View Nonparametric Statistical Methods on Amazon
Show steps
  • Read the book
  • Take notes
  • Solve practice problems
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a Webinar on Non Parametric Tests
Attend a webinar on non parametric tests to learn from experts and connect with others in the field
Show steps
  • Find a webinar on non parametric tests
  • Register for the webinar
  • Attend the webinar
  • Ask questions and participate in discussions
Practice Non Parametric Tests using Rcmdr
Practice conducting non parametric tests using Rcmdr to reinforce understanding of concepts
Show steps
  • Go to Rcmdr software
  • Load the data set
  • Select the appropriate non parametric test
  • Run the test
  • Interpret the results
Solve Non Parametric Test Problems
Solve non parametric test problems to practice application of concepts
Show steps
  • Find non parametric test problems
  • Solve the problems
  • Check your answers
Conduct a Non Parametric Test Project
Conduct a non parametric test project to apply learning and demonstrate skills
Show steps
  • Define the research question
  • Collect data
  • Choose the appropriate non parametric test
  • Conduct the test
  • Write a report
Create a Tutorial on Non Parametric Tests in Rcmdr
Create a tutorial on non parametric tests in Rcmdr to solidify learning and share knowledge
Show steps
  • Plan the tutorial
  • Gather materials
  • Write the tutorial
  • Record the tutorial
  • Publish the tutorial

Career center

Learners who complete Non parametric Tests using R Cmdr will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts play a crucial role in today's data-driven world, where they analyze and interpret large datasets to extract meaningful insights for informed decision-making. The Non-Parametric Tests Using R Cmdr course can prove invaluable to aspiring Data Analysts seeking a strong foundation in non-parametric statistical methods. Non-parametric tests are essential in situations where data does not conform to the assumptions of traditional parametric tests. This course provides hands-on training in conducting non-parametric tests using R Cmdr, empowering students to handle real-world data challenges and make sound inferences from non-normally distributed data.
See salaries and explore the career path for Data Analyst
Statistician
Statisticians play a vital role in various fields, applying statistical principles to gather, analyze, and interpret data. The Non-Parametric Tests Using R Cmdr course offers a valuable opportunity for aspiring Statisticians to enhance their proficiency in non-parametric statistical analysis. This course covers essential non-parametric tests, their applications in real-world scenarios, and hands-on implementation using R Cmdr. Mastering these techniques is crucial for Statisticians to effectively handle data that violates the assumptions of parametric tests and draw reliable conclusions.
See salaries and explore the career path for Statistician
Data Scientist
Data Scientists are highly sought-after professionals who possess a deep understanding of data science principles and techniques. The Non-Parametric Tests Using R Cmdr course can provide a strong foundation for aspiring Data Scientists, particularly those interested in non-parametric statistical methods. Non-parametric tests are essential for handling real-world data that may not adhere to parametric assumptions. This course equips students with the skills to conduct non-parametric tests using R Cmdr, empowering them to extract meaningful insights from complex datasets and make informed decisions.
See salaries and explore the career path for Data Scientist
Research Analyst
Research Analysts play a crucial role in various industries, conducting research and analyzing data to provide insights and recommendations. The Non-Parametric Tests Using R Cmdr course can enhance the skills of aspiring Research Analysts by providing a strong foundation in non-parametric statistical methods. Non-parametric tests are essential when data does not meet the assumptions of parametric tests, enabling Research Analysts to handle real-world data challenges and draw reliable conclusions.
See salaries and explore the career path for Research Analyst
Biostatistician
As a Biostatistician, you will be involved in designing and analyzing studies, as well as interpreting and presenting data in the medical and health sciences. The Non-Parametric Tests Using R Cmdr course provides a solid foundation in non-parametric statistical methods, which are frequently used in biomedical research. This course will equip you with the skills to analyze non-normally distributed data and make valid inferences, contributing to the advancement of medical knowledge and healthcare practices.
See salaries and explore the career path for Biostatistician
Market Researcher
As a Market Researcher, you will be responsible for gathering, analyzing, and interpreting data to gain insights into consumer behavior and market trends. The Non-Parametric Tests Using R Cmdr course equips you with the skills to conduct non-parametric statistical tests, essential for handling real-world marketing data that often violates the assumptions of parametric tests. By mastering these techniques, you can effectively analyze non-normally distributed data and make informed decisions to drive successful marketing strategies.
See salaries and explore the career path for Market Researcher
Data Engineer
As a Data Engineer, you will be involved in designing, building, and maintaining data systems and infrastructure. While the Non-Parametric Tests Using R Cmdr course may not directly focus on data engineering, it provides a strong foundation in statistical principles and techniques. Understanding statistical concepts is crucial for Data Engineers to ensure the integrity and reliability of data systems and to support data-driven decision-making across organizations.
See salaries and explore the career path for Data Engineer
Software Developer
As a Software Developer, you will be involved in designing, developing, and maintaining software applications. The Non-Parametric Tests Using R Cmdr course may not directly align with the core responsibilities of a Software Developer. However, gaining proficiency in statistical principles and techniques can be beneficial for Software Developers who work on data-intensive projects or applications that require statistical analysis capabilities.
See salaries and explore the career path for Software Developer
Quantitative Analyst
As a Quantitative Analyst, you will be responsible for developing and implementing mathematical and statistical models to assess financial risks and make investment decisions. The Non-Parametric Tests Using R Cmdr course provides a valuable foundation in non-parametric statistical techniques, which are often applied in financial analysis and risk management. Mastering these techniques will enhance your ability to handle non-normally distributed financial data and make informed decisions in the fast-paced financial markets.
See salaries and explore the career path for Quantitative Analyst
Actuary
As an Actuary, you will be involved in assessing and managing financial risks and uncertainties. The Non-Parametric Tests Using R Cmdr course provides a strong foundation in non-parametric statistical methods, which are commonly used in actuarial science to analyze insurance and financial data. By mastering these techniques, you can enhance your ability to model and assess risks accurately, contributing to the financial stability of individuals and organizations.
See salaries and explore the career path for Actuary
Epidemiologist
As an Epidemiologist, you will be responsible for investigating and analyzing the distribution and patterns of health-related events and diseases in populations. The Non-Parametric Tests Using R Cmdr course provides a foundation in non-parametric statistical methods, which are frequently used in epidemiology to handle non-normally distributed health data and make valid inferences. By mastering these techniques, you can contribute to the understanding and prevention of diseases, improving public health outcomes.
See salaries and explore the career path for Epidemiologist
Survey Researcher
As a Survey Researcher, you will be involved in designing, conducting, and analyzing surveys to gather data on various topics. The Non-Parametric Tests Using R Cmdr course provides a valuable foundation in non-parametric statistical techniques, which are often used to analyze survey data. By mastering these techniques, you can effectively handle non-normally distributed survey data and make valid inferences, contributing to the accuracy and reliability of survey research findings.
See salaries and explore the career path for Survey Researcher
Risk Manager
As a Risk Manager, you will be responsible for identifying, assessing, and managing risks that could impact an organization's operations and objectives. The Non-Parametric Tests Using R Cmdr course provides a foundation in non-parametric statistical methods, which are used in risk management to analyze data and make informed decisions under uncertainty. By mastering these techniques, you can enhance your ability to quantify and mitigate risks effectively, ensuring the resilience and success of your organization.
See salaries and explore the career path for Risk Manager
Business Analyst
As a Business Analyst, you will be involved in analyzing business processes and data to identify areas for improvement and drive organizational success. The Non-Parametric Tests Using R Cmdr course provides a foundation in non-parametric statistical techniques, which are used in business analysis to handle non-normally distributed data and make valid inferences. By mastering these techniques, you can effectively analyze complex business data, identify trends and patterns, and provide valuable insights to support informed decision-making.
See salaries and explore the career path for Business Analyst
Data Visualization Specialist
As a Data Visualization Specialist, you will be responsible for creating visual representations of data to communicate insights and trends. While the Non-Parametric Tests Using R Cmdr course does not directly focus on data visualization, understanding statistical principles and techniques is beneficial for effectively interpreting and presenting data. This course provides a foundation in statistical concepts that can enhance your ability to design compelling and informative data visualizations that accurately convey insights.
See salaries and explore the career path for Data Visualization Specialist

Reading list

We've selected ten 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 Non parametric Tests using R Cmdr.
Cover image
Nonparametric Statistical Methods
Save
Provides a comprehensive introduction to nonparametric statistical methods, including both theoretical and practical aspects. It valuable resource for students and researchers in statistics, econometrics, and other fields where nonparametric methods are used.
Nonparametric Statistical Methods
Paperback
Check
Nonparametric Statistical Methods
Kindle Edition
Check
Cover image
Nonparametric Statistical Inference
Save
Provides a comprehensive overview of nonparametric statistical methods, with a focus on practical applications. It is written in a clear and concise style, making it accessible to a wide range of readers.
Nonparametric Statistical Inference
Paperback
Check
Nonparametric Statistical Inference
Kindle Edition
Check
Cover image
Robust Nonparametric Statistical Methods
Save
Provides a comprehensive introduction to nonparametric statistical methods, with a focus on theoretical foundations. It valuable resource for students and researchers in statistics and other fields where nonparametric methods are used.
Robust Nonparametric Statistical Methods
Paperback
Check
Robust Nonparametric Statistical Methods
Kindle Edition
Check
Cover image
Testing Statistical Hypotheses
Save
Provides a comprehensive introduction to nonparametric statistical methods, with a focus on theoretical foundations. It valuable resource for students and researchers in statistics and other fields where nonparametric methods are used.
Testing Statistical Hypotheses
Paperback
Check
Testing Statistical Hypotheses
Kindle Edition
Check
Cover image
Introduction to Robust Estimation and Hypothesis...
Save
Provides a comprehensive introduction to nonparametric statistical methods, with a focus on theoretical foundations. It valuable resource for students and researchers in statistics and other fields where nonparametric methods are used.
Introduction to Robust Estimation and Hypothesis...
Paperback
$$$
Introduction to Robust Estimation and Hypothesis...
Hardcover
$$$$
Introduction to Robust Estimation and Hypothesis...
Kindle Edition
$$$$
Introduction to Robust Estimation and Hypothesis...
Kindle Edition
$$$$
Cover image
Nonparametric Statistical Inference
Save
Provides a concise and accessible introduction to nonparametric statistical methods. It is written in a clear and concise style, making it accessible to a wide range of readers.
Nonparametric Statistical Inference
Paperback
Check
Nonparametric Statistical Inference
Kindle Edition
Check
Cover image
All of Statistics
Save
Provides a comprehensive introduction to nonparametric statistical methods, with a focus on theoretical foundations. It valuable resource for students and researchers in statistics and other fields where nonparametric methods are used.
All of Statistics: A Concise Course in Statistical...
Hardcover
$$$
All of Nonparametric Statistics (Springer Texts in...
Hardcover
$$$$
All of statistics : A concise course in statistic...
Kindle Edition
$
Cover image
Statistical Hypothesis Testing in Context
Save
Provides a practical guide to nonparametric statistical methods in R. It covers a wide range of topics, including hypothesis testing, correlation, and regression.
Statistical Hypothesis Testing in Context
Paperback
Check
Statistical Hypothesis Testing in Context
Kindle Edition
Check
Cover image
Testing Statistical Hypotheses
Save
Provides a comprehensive introduction to nonparametric statistical methods, with a focus on decision theory. It valuable resource for students and researchers in statistics and other fields where nonparametric methods are used.
Testing Statistical Hypotheses
Paperback
Check
Testing Statistical Hypotheses
Kindle Edition
Check
Cover image
Methodology in Robust and Nonparametric Statistics
Save
Provides a comprehensive introduction to nonparametric statistical methods for biomedical studies. It valuable resource for students and researchers in biostatistics and other fields where nonparametric methods are used.
Methodology in Robust and Nonparametric Statistics
Hardcover
$$$$

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Course image
Effort
1 hour 30 minutes
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Shalini Gopalkrishnan
Language
English
Good to know
Aids learners in conducting non-parametric tests in R, a statistical software widely used in various fields
Appropriate for those with an understanding of statistical concepts and basic R usage
Share and help others discover this course.
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