May 1, 2024
3 minute read
Statistical testing is a branch of statistics that deals with the process of making decisions about the parameters of a population based on a sample drawn from that population. It involves formulating hypotheses about the population parameters, collecting data from a sample, and using the data to test the hypotheses and make conclusions about the population.
Importance of Statistical Testing
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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
Statistical Testing.
This advanced textbook provides a comprehensive treatment of the principles of statistical inference, including Bayesian and likelihood-based approaches.
This classic textbook provides a comprehensive overview of statistical methods used in the atmospheric sciences, including hypothesis testing, parameter estimation, and data analysis.
This seminal work laid the foundation for modern statistical hypothesis testing and remains an essential reference for researchers.
This textbook provides a comprehensive overview of Bayesian inference, including hypothesis testing, parameter estimation, and model selection.
This German-language textbook covers the statistical methods commonly used in economics, including hypothesis testing, regression analysis, and time series analysis.
This introductory textbook teaches the principles of statistical reasoning and hypothesis testing through real-world examples.
This introductory textbook covers the statistical methods commonly used in psychology, including hypothesis testing, regression analysis, and ANOVA.
This classic textbook covers the statistical methods commonly used in the social sciences, including hypothesis testing, regression analysis, and ANOVA.
This specialized textbook covers the statistical methods used in bioinformatics, including sequence analysis, gene expression analysis, and population genetics.
This specialized textbook covers statistical methods used in astronomy, including data analysis, parameter estimation, and model selection.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/iax0iv/statistical
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