Spatio-temporal distribution of physicochemical and bacteriological parameters in the north area of Monastir bay, eastern coast of Tunisia Statistical analysis of different physicochemical parameters showed a correlation between temperature pH and oxygen. ANOVA tests showed a significant difference ... S Zaa...
Motivation: The Serial Analysis of Gene Expression (SAGE) technology determines the expression level of a gene by measuring the frequency of a sequence tag derived from the corresponding mRNA transcript. Several statistical tests have been developed to detect significant differences in tag frequency betw...
is the confidence level. It indicates the degree of confidence that the statistical result did not occur by chance or by sampling error. The customaryconfidencelevel in many statistical tests is 95%, leading to a customary significance level or p-value of 5%.1 ...
In statistics, one reason we make predictions is to do predictive checks, to elucidate the implications of a model, in particular what it says (probabilistically) regarding observable outcomes, which can then be checked with existing or new data. To put it in storytelling terms, if you tell a...
“Why do medical tests always have error rates?” (32 comments) Toward a unified theory of bad science and bad scholarship (32 comments) Michael Clayton in NYC (32 comments) I’ve been mistaken for a chatbot (31 comments) Here’s my excuse for using obsolete, sub-optimal, or inadequate...
mi-Mic, a novel approach for microbiome differential abundance analysis, tackles the key challenges of such statistical tests: a large number of tests, sparsity, varying abundance scales, and taxonomic relationships. mi-Mic first converts microbial count
Diversity-generating and mobile genetic elements are key to microbial and viral evolution and can result in evolutionary leaps. State-of-the-art algorithms to detect these elements have limitations. Here, we introduce DIVE, a new reference-free approach
• Tests normally distributed data • Test non normal distribution data • Measures system analyses Bottom Line Develve is a statistical software for fast and easy interpretation of experimental data in science and R&D in a technical environment. 7.5 Editor Rating 7.8 Aggregated User Rating 5 ra...
Equality of variances in a set of samples is an important pre-condition for parametric statistical tests, such as the ANOVA and t-test. Information from this preliminary test dictates whether parametric or non-parametric tests should be used. Most laboratories assume that the variances of their ...
to unravel global teleconnection patterns likely to be controlled by a physical mechanism known as Rossby waves102. A suitable combination of a discovery algorithm with conditional independence tests have been recently used to infer networks validated by both synthetic and real-world systems, the latte...