SIG value is the statistics p value
The statistical significance of the results is an estimate of the results (which can represent the overall). Professional, p value is a decrement index of the credibility, the larger the P value, the more we believe that the association of variables in the sample is a reliable indicator associated with each variable in the overall variable. The P value is the observation of the observation of the error probability that is the overall representative error probability. If P = 0.05 suggests that the variable in the sample may be related to the cause of incident. That is, it is assumed that there is no relationship between any variables in the overall, and we repeat similar experiments, it will find that there is an experiment in about 20 experiments, and the variables we have studied will be equal to or stronger than our experimental results. (This is not to say that there is an association between variables, we can get 5% or 95% of the same results, and when there is a correlation, repetition research and discovery associations are related to the statistical efficacy of the design.) Many research areas, 0.05 P values are often considered to be a boundary level that accepts errors.
How to determine the results true significance
In the final conclusion, what kind of significance is statistically significant and inevitably with arbitrary arbitrary. In other words, the selection of the horizontal selection of the rejected acceptance is considered to be arbitrary. In practice, the final decision usually relies on the results of the data set comparison and analysis, and only two or two of the two> comparisons between the mesices, depending on the quantity, dependence on the conclusions of the overall data set. The convention in the field of the study. Typically, the results of a p value in many scientific areas ≤ 0.05 are considered to be a boundary line of statistical significance, but this significant level also contains a relatively high possible mistake. Result 0.05 ≥ P> 0.01 is considered to have statistically significant, and 0.01 ≥ p ≥ 0.001 is considered to have high statistical significance. However, pay attention to this classification is only a non-formal judgment on the basis of research.
