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There are different types of statistical tests which are used to evaluate any given statistical information. One of the common tests is the t-test. When the assumptions that are given for t-tests are not met for the given statistical information, one should know how to analyze data using the Wilcoxon signed-rank test as the alternative statistical procedure. The two common assumptions for t-tests include; the difference between the selected paired sample values is randomly drawn from the source population and the source population from which the samples are drawn has a normal distribution. In other words, analyzing data is carried out to compare matched or related samples, and determine whether the ranks for the corresponding population mean are differing. You need to note that one of the challenges which face those doing statistical tests is the limitation of time and the complexity of the research information being analyzed. A number of individuals will, therefore, be found searching for paid statisticians to help with running data tests when they have this task at hand.
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