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HOME SERVICES PRODUCTS DEALERS CONTACT However, no matter how important verification of the technical side of experience, it does not exhaust the merits of control in planning and conducting the experiment. To accurately identify changes that occur during the experiment, very often along with the experimental group used more so-called control group. Where there is no significant individual changes, as a control group or the system itself can serve as a test object. For example, to determine changes in mechanical properties of the metal from exposure to high frequency currents rather exhaustive description of these properties before and after the experiment. Initial properties of the metal can then be regarded as a property control system, with which you can judge the results of the impact parameters of metal during the experiment. In the study of biological and social phenomena, most often as the control system selects a single system or set of individuals. All the effects and changes are made on an experimental group and the results of these actions are judged by comparing with the control group. So, to test the effectiveness of new drugs, just to find out all the positive and negative factors that caused them to all experimental animals were divided into two groups: experimental and control. Doing the same for experimental verification of vaccination against infectious diseases. In all cases, under the terms of the study is required to form the experimental and control groups, it is necessary to ensure that they were as close as possible to be homogeneous. Otherwise, the results of the experiment may not be entirely reliable, and even questionable. The easiest way to achieve such uniformity is comparing individual experimental and control groups. For larger groups, this method is unsuitable. Therefore, at present most frequently resorted to statistical methods of control, by using that address the common, the statistical characteristics compared troupes, not the individual of their features. As statistical tests of control often choose the control distributions. Characterize the distribution of how often or how likely one or other random, the value of taking some of its possible meanings. By comparing the distribution functions can achieve greater uniformity of ABI less experimental and control groups. Dependence of the experiment from the theory affects not only the planning, but even more so when interpreting the results. First, the results of any experiment require statistical analysis to exclude possible systematic errors. Such analysis is particularly necessary in the implementation of experiments that investigated the factors or the value specified is not an individual, and statistically. For even if an individual task, tend to produce a variety of measurements to eliminate possible errors. In principle, the statistical analysis of the results of the experiment, which investigated the value set individually, does not differ from the data of observation. Much greater difficulties arise in the analysis of statistical tests. First of all, here we have to establish and evaluate the difference between the experimental and control troupes. Sometimes the difference between them may be due to random, uncontrollable factors. Therefore there is a problem of definition and statistical test the difference between the experimental and control groups. If this difference exceeds a certain minimum, it serves as an indication that the quantities studied in this experiment, there is some real connection. Finding a specific form of this relationship is the purpose of further study. Secondly, the results of the experiment, subjected to statistical analysis, can be truly understood and appreciated only within the framework of theoretical concepts relevant field of scientific knowledge. Interpretation of the results of experimental studies are so important to understand and explain these results. In interpreting the experimental data the researcher may meet with two alternatives. Firstly, it can explain these results in terms of known theories or hypotheses. In this case, it reduces to checking or cross-checking of cash knowledge. Since this check is to compare the statements expressing the experimental data, the conclusions of the theory, then there is a need for such logical corollaries of the theory, which allow an empirical test. This is inevitably related to the interpretation of at least some concepts and propositions of the theory.
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