Introduction
Quantitative research is one as the name suggests is a research made with the help of numerical facts and figures. Statistical analysis is an important part in quantitative research approach. Statistical analysis is applied on the collected data in order to test a hypothesis and make an inference. This essay gives an overview of significance of statistical testing, chi square Test, reliability statistics, correlation and dependence, null hypothesis, alternate hypothesis, test statistics and rejection region.
Significance of Statistical tests
Cox, Hand and Herzberg (2005, p 47) defines that the statistical methods for the data analysis can be categorized as probabilistic or as descriptive. The former method consists of graphical display and tabulation of great importance both in presentation of conclusion and in detailed analysis. Probability enters in statistical analysis in different ways. The most obvious is that one identifies explicitly that conclusions drawn from limited data are uncertain and that therefore it is a better thing to control and measure probabilities drawing the incorrect conclusions partly but by no means solely as a precaution against over interpretation. The statistical significance test is the most widely referred component based with such probabilities. In order to calculate whether some variations are significant or not statistical tests required to be applied. Statistical significance tests estimate some confidences interval around some estimated mean value. The confidence interval has been derived analytically for coherence and spectra.
景区简介
定量研究是一个顾名思义是数值数据和事实的帮助下做了一个研究。统计分析是定量研究方法的一个重要组成部分。统计分析方法对采集到的数据来测试假设和推理。本文给出了统计测试的意义进行了概述，卡方检验，可靠性统计，相关性和依赖性，零假设，替代假说，检验统计量和排斥区。
统计试验的意义
考克斯，手和赫茨伯格（2005，p 47）定义了用于数据分析的统计方法可以分为概率或描述。前者包括图形显示和报告的结论，在详细分析重视制表。概率进入不同的统计分析。最明显的是，一个标识明确，从有限的数据中得出的结论是不确定的，因此它是一个更好的东西来控制和测量的概率部分但绝不仅仅作为一种防范过度解释图的不正确的结论。统计检验是最广泛称为基于组件的等概率。为了计算是否有些变化是重要的或不需要的应用统计试验。统计学意义试验估计一些信心区间估计的平均值。置信区间是连贯和光谱解析。
