The minor in social research methods and applied statistics teaches you to use qualitative and quantitative research methods to answer social questions. Designed for students in the College of Liberal ...
Method comparison studies and statistical agreement analysis are essential for evaluating and validating different measurement techniques across a variety of scientific and clinical disciplines. These ...
Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...
Statistics influence nearly everything. That is, the information and context derived from statistical analysis help to shape important decisions that have local, national, and global impacts. For ...
An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...
Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to ...
The Ph.D. in educational statistics and research methods (ESRM) prepares students interested in statistics, psychometrics, education measurement, assessment and evaluation to develop, critically ...
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New method improves the reliability of statistical estimations
MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.
When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...
Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...
The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...
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