Chat with us, powered by LiveChat

Error Coursework Services

Inferential statistics defines statistical error as the amount by which an observation differs from the whole population’s true mean (expected) value. This is in contrast to a residual which is the difference between the observation and the model’s predicted value (such as a regression model). In essence, the residual is an estimate of unobservable statistical error of the model.

Error takes on a different meaning in the context of statistical Hypothesis Testing. Colloquially, a “false positive” is the incorrect rejection of a valid Null Hypothesis and known as a Type I error. “False negatives”, or Type II errors occur when an invalid Null Hypothesis is failed to be rejected.

Confused? Wherever your studies take you, we have an expert to help you accomplish your goals. Trust the experts at Homework Help Australia and get a quote now.


We assist in the following subject areas: