Basic Regression Statistics Training Hypothesis Testing

Many engineers, scientists, and business statistics training analysts struggle with the application of statistical methods when analyzing data to making decisions. Frequently, engineers and scientists react to data without considering the natural variation that exists. Non-statisticians frequently seek help in tasks such as determining appropriate sample sizes, interpreting tests results, distinguishing statistical differences from practical differences, and developing predictive models. This course provides an in-depth treatment of statistical analysis methods to support decision making. The focus is on data organization, graphical methods, hypothesis testing, and predictive modelling.


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