id=7022). This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models ...

A new sophisticated statistical analysis from an economics professor at Dartmouth University indicates that there is a high probability that COVID-19 originated from a lab accident in China, rather ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

There are three measures of central tendency for data. One is the mean or x-bar, and the others are the median and mode. When ...

You are now ready to perform statistical analysis of your results, but first, you have to choose a critical value at which to reject your null hypothesis. You opt for a critical value probability ...

Genetic changes have the ability to alter crop characteristics, and some crop breeding techniques take advantage of this. Conventionally, genetic engineering has relied on natural or artificial ...

The sensitivity analyses, conducted by an independent statistical group, demonstrate the robustness of the results of the previously reported primary endpoint analysis, with representative hazard ...