Learn how two-tailed tests determine statistical significance in hypothesis testing by evaluating if a sample differs from a population mean. Discover real-world applications.

Hypothesis Testing 4--Chi-Square for Goodness of Fit Tests and Independence In Hypothesis Testing 1, 2 and 3, you have used normal and t-distributions to test hypotheses. Chi-Square tests use the ...

The mean and standard deviation (standard error) of sampling distributions for different point estimates are calculated differently (you will see two examples in this section- the sample mean and ...

, , Bayesian Hypothesis Testing: A Reference Approach, International Statistical Review / Revue Internationale de Statistique, Vol. 70, No. 3 (Dec., 2002), pp. 351-372 ...

Example To illustrate the four types of tests and the principles upon which they are based, consider a two-way design with interaction based on the following data: ...

In this article, we consider an experimental design commonly used by researchers who study plant disease and examine large-sample, likelihood-based hypothesis tests that can be used to characterize ...

In this paper, we re-examine two important aspects of the dynamics of relative primary commodity prices, namely the secular trend and the short run volatility. To do so, we employ 25 series, some of ...