Statistics

    Map

Twitter


Fully Casualized Design: A Brief Literary Review

( Vol-5,Issue-7,July 2018 ) OPEN ACCESS
Author(s):

Cristina Almeida da Silva, Aline Souza Soares, Andressa Sousa Silva, Ellen Caroline Feitoza Pires, Augustus Caeser Franke Portella

Keywords:

statistic, experimental design, ANOVA, DIC.

Abstract:

The term experimental design is characterized by the manner in which the portions are distributed in a given experiment. The completely randomized design is the most commonly used among experimental designs because the principles of randomization and repetition provide authenticity of the conclusions due to guarantee that the experimental units (plots), even if distinct and exhibit equal probability of being distributed to the groups. It is widely used in experiments have uniform conditions as the experimental conditions are critical in obtaining a good experimental design. It offers a wide experimental application, but must pay attention to the test, that even homogeneous, can present experimental conditions that will harm the experiment. So in order to get a good design, an early collection of information to evaluate the homogeneity of the experimental conditions is critical. This study is a literature review on the DIC, with their main characteristics, mathematical modeling, analysis of variance technique (ANOVA) and analysis of assumptions for ANOVA.

ijaers doi crossref DOI:

10.22161/ijaers.5.7.14

Paper Statistics:
  • Total View : 2023
  • Downloads : 46
  • Page No: 100-108
Cite this Article:
Click here to get all Styles of Citation using DOI of the article.