Test statistics are statistics such as t and F which may have run across in the past. In more difficult issues of testing however there will occur a variety of apparently reasonable and essentially varied test statistics and then it becomes important to select one of them. The major criteria of option is the resulting test power if one statistic offers greater power than another when both are applied at the same significance level and most probably the powerful statistic is prescribed which results in a smaller probability of false acceptance (Hodges and Lehmann, 2004, p 393).
Rejection region:
In hypothesis testing the decision can be made by predicting rejection region which is the region of possible values for the test statistics that may lead to null hypothesis rejection. If the test statistics is in the rejection region then the result is significant statistically and it rejects the null hypothesis or it does not reject the null hypothesis. The rejection region alters relying on the degree of freedom accompanying the test (Utts and Heckard, 2011, p 506).
Conclusion
Unlike qualitative research that is descriptive in nature, quantitative research relies upon some form of inference. Statistical analysis is a technique that is used to quantify the confidence of the inferences made from a quantitative analysis. In order to understand in detail about statistical analysis it is important to be aware of certain terminologies associated with statistical analysis.
检验统计量的统计，如可能遇到过在过去的T和F。在较困难的问题，但是测试中会发生的各种显然是合理的和本质上变化的检验统计量，然后就变得非常重要，选择其中之一。选项的主要标准测试的权力，如果一个统计提供比另一个更大的权力，当两者都适用于相同的显着性水平，最有可能导致在一个较小的概率虚假验收（霍奇斯和莱曼，2004年，强大的统计规定，P393）。
抑制区域：
在假设检验的决定可以由预测排斥区域，这是亚太地区的检验统计量，可能会导致空假说排斥的可能值。如果统计检验拒绝域，然后结果是显着的统计学和拒绝零假设，它不拒绝零假设。拒绝域改变依靠的自由度伴随的的测试（Utts Heckard，2011年，页506）。
结论
定量研究与定性研究是描述性的，依赖于某种形式的推断。统计分析是一种技术，用来量化从定量分析的推论的信心。为了了解详细统计分析，重要的是要注意与统计分析的用语。
