Statistical test assumptions and requirements, many statistical processes, such as correlation, regression, t-test, and analysis of variance, presuppose that the data has a given property. Statistical test assumptions and requirements In general: The data are normally distributed, and the variances of the groups being compared are uniform (equal). These assumptions must be treated carefully in…
Ad Hoc Analysis, A graph of data is sometimes the outcome of ad hoc analysis. Ad hoc means “just for a certain reason.” In business intelligence, ad hoc analysis is performed to answer a specific question at a certain time; in other words, on a “as needed” basis. The end result is a graph, report,…
Similarity Measure Between Two Populations, The Brunner Munzel test (also known as the Generalized Wilcoxon Test) is a nonparametric statistical test for determining whether two samples are stochastically equal. Stochastic equality is a measure of population similarity in which two populations have about the same frequency of larger values. In statistical software, the BM test…
Read More “Similarity Measure Between Two Populations-Brunner Munzel Test” »
Rejection Region in Hypothesis Testing, What is the definition of a Rejection Region? A rejection region is a section of a graph where the null hypothesis is rejected (assuming your test results fall into that area). Rejection Region The primary goal of statistics is to test theories or experiment results. For example, you may have…
An educated assumption about something in the world around you is a hypothesis. It should be able to be verified through experiment or observation. Consider a new drug that you believe may be effective. You believe there is a better method to teach. A possible new species’ habitat. A more equitable method of administering standardized…
Descriptive statistics vs Inferential statistics: In the field of statistics, there are two primary branches, Descriptive Statistics Inferential Statistics Descriptive statistics vs Inferential statistics The differences between the two branches are explained in this tutorial, as well as why each is helpful in certain scenarios. Descriptive Statistics In a word, descriptive statistics seeks to use…
Read More “Descriptive statistics vs Inferential statistics: Guide” »
Control chart in quality control, To analyze the product’s quality, a statistical Quality Control chart is employed. Every product is created for a certain purpose; if it accomplishes that aim perfectly, it is deemed high quality; if not, it is not. For example, It is of good quality if an article meets the criteria; otherwise,…
