Introduction There is an essential difference between business proposal and formal research, which is generally held in the area, which proposal represents. Originally, it is often stated that the key difference between these two aspects are in the purposes of the study, which should be performed. The original difference is in the “modicum of proof” for the premises that lead up to the Conclusions and Recommendation. The standard of proof and confirmation, which is generally required for the business research will convince an internal group of decision-makers, external supply or value-chain partners, an investor or financing source that the proposed course of action is sound. The aim of this paper is to offer the confirmation of the research concepts and hypotheses, provided in the previous projects. The objective will be to search and identify the surveys, assessment tools or instruments which are intended to gather data on the variables that are contained within the same hypothesis which were used in the previous project assignments. Method of Analysis   * Define the relevant null and alternative hypothesis for the test. Particular attention should be paid to this statement, as improper hypothesis will violate the accuracy of the test   * Consider the possible assumptions which are required for performing the test. The assumptions on the matters of the statistical independence should be taken into consideration.   * The relevant test statistic should be counted. In accordance with Krantz (2008) the distribution of such statistics may be derived from the original assumptions. Hypothesis testing, which is generally arranged for the confirmation of research hypothesis and the concept, offered for the study is related with the statistical analysis of the concept, and the calculations, aimed at clarification of the concept implementation process. As Sarkar and Chang (2007, p. 562) emphasize in their research, the statistical hypothesis test is one of the basic components of the empirical research, nevertheless, the difficulties, which are faced, are generally related to unclear data. The following notion should be emphasized: A test is a statistical procedure to obtain a statement on the truth or falsity of a proposition, on the basis of empirical evidence. This is done within the context of a model, in which the fallibility or variability of this empirical evidence is represented by probability. In the light of this perspective, it should be emphasized that the hypothesis test, arranged on the basis of the statistical confirmation, should be performed on the fully the null-hypothesis statistical significance test. Procedure Statistical tests:   * 1. Collect the data.   * 2. Determine a null and alternative hypothesis.   * 3. Calculate a test statistic for that null hypothesis.   * 4. Determine if this test statistic is odd given this null hypothesis.   * 5a. If the statistic is sufficiently extreme relative to the null hypothesis, then we reject the null hypothesis.   * 5b. If the statistic is not sufficiently extreme relative to the null hypothesis, then we do not reject the null hypothesis. Observation   * Organizational structure and the ability for employees to move up within the comp