Search results
Results from the WOW.Com Content Network
Example of direct replication and conceptual replication. There are two main types of replication in statistics. First, there is a type called “exact replication” (also called "direct replication"), which involves repeating the study as closely as possible to the original to see whether the original results can be precisely reproduced. [3]
Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method.For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated.
Inferential statistics cannot separate variability due to treatment from variability due to experimental units when there is only one measurement per unit. Sacrificial pseudoreplication (Figure 5b in Hurlbert 1984) occurs when means within a treatment are used in an analysis, and these means are tested over the within unit variance.
Conceptual replication, where a finding or hypothesis is tested using a different procedure. [11] [14] Conceptual replication allows testing for generalizability and veracity of a result or hypothesis. [14] Reproducibility can also be distinguished from replication, as referring to reproducing the same results using the same data set ...
Replication (scientific method), one of the main principles of the scientific method, a.k.a. reproducibility Replication (statistics), the repetition of a test or complete experiment; Replication crisis; Self-replication, the process in which an entity (a cell, virus, program, etc.) makes a copy of itself
Longtime MSNBC host Rachel Maddow sounded off during a Monday night broadcast of “The Rachel Maddow Show” on the network’s major line-up changes, which saw the exit of anchor Joy Reid.
The United States obligated nearly $440 million in assistance to South Africa in 2023, the most recent U.S. government data showed.
In the statistical theory of the design of experiments, blocking is the arranging of experimental units that are similar to one another in groups (blocks) based on one or more variables. These variables are chosen carefully to minimize the effect of their variability on the observed outcomes.