The alternate hypothesis is represented by the symbol H1. The alternate hypothesis is also defined as the variations in outcomes between conditions are due to the independent variable. The alternative hypothesis can be non-directional and directional. The alternate hypothesis is non-directional because it does not denote the direction of the effect. If the hypothesis denotes the effect direction then it is a directional hypothesis. The alternate hypothesis refers that there will be some type of alterations. It does not denote whether the effect will be decreased or increased test scores. In some instances it is proper for the alternate hypothesis to denote the effect direction. For instance if the researcher hypothesizes that the supplement will increased the test scores then this kind of hypothesis outcomes in a directional hypothesis test which will be investigated briefly and for non-directional tests the hypothesis denotes that the treatment has some effect H1 or has no effect H0 (Brase and Brase, 2011, p 411; Pagano, 2008, p 242).
Test Statistics
In statistics the normal procedure is to evaluate a particular quantity referred to as test statistic. There are many common test statistics. The test statistic is configured so that if the null hypothesis is true and the test statistic will be a random variable that exists from a known distribution (Downing and Clark, 2010, p 298). The test statistic is wholly associated with particular statistical procedures and which has their own distributions of sampling.
替代假设由符号H1表示。也被定义为备用假设条件之间的变化的结果是，由于独立变量。另一种假设可非和定向。另一种假说是无方向性的，因为它不表示方向的效果。如果这个假说表示的作用方向上，那么它是一个方向的假设。替代假说是指将有某种类型的改变。这并不表示效果是否会被降低或提高考试分数。在一些情况下是适当的替代假设来表示的效果方向。例如，如果研究人员推测，补充，将增加测试成绩在定向假设检验这种假设的结果将简要调查和非定向测试的假设表示，治疗有一定效果H1或没有效果H0（Brase Brase，2011年，P411;帕加诺，2008年，242页）。
测试统计
在统计中，正常的程序是评估一个特定的称为检验统计量。有许多共同的检验统计量。被配置成使得，如果无效假设是正确的检验统计量是一个随机变量，存在从一个已知的分布（Downing和克拉克，2010年，第298）的检验统计量。全相关检验统计量与特定的统计程序，并具有自己的抽样分布。
