Noun
/fækˈtɔːriəl ɪkˈspɛrɪmənt/
A factorial experiment is a type of experimental design that investigates the effects of multiple factors, each with two or more levels, on a response variable. Specifically, it allows researchers to assess the interactions between the factors and their individual effects systematically. Factorial experiments are extensively used in fields like agriculture, engineering, and social sciences.
Usage in English Language: - The term is commonly used in both written and oral contexts, especially among researchers, statisticians, and students in fields related to experimental design.
Frequency of Use: - The term is more frequently encountered in academic literature, research articles, and courses on statistics and experimental design.
Example Sentences:
1. The researchers conducted a factorial experiment to analyze the impact of different fertilizers on crop yield.
Исследователи провели факторный эксперимент, чтобы проанализировать влияние различных удобрений на урожай.
By using a factorial experiment, the team was able to identify which variables had the most significant effect on the outcome.
Используя факторный эксперимент, команда смогла определить, какие переменные оказали наибольшее влияние на результат.
A factorial experiment allows for a more comprehensive analysis compared to single-factor experiments.
Факторный эксперимент позволяет провести более всесторонний анализ по сравнению с однопараметрическими экспериментами.
While "factorial experiment" itself does not appear commonly in idiomatic expressions, the concept is foundational in various research-related phrases within academic discussions. Here are some idiomatic expressions that may relate to the principles of factorial experimentation:
The whole nine yards: In a factorial experiment, researchers often consider "the whole nine yards" to ensure all possible interactions between factors are analyzed.
В факторном эксперименте исследователи часто учитывают "все девять ярдов", чтобы убедиться, что все возможные взаимодействия между факторами проанализированы.
Trial and error: The process of optimizing factor levels in a factorial experiment often involves much trial and error.
Процесс оптимизации уровней факторов в факторном эксперименте часто включает много проб и ошибок.
The bigger picture: Factorial experiments help researchers see the bigger picture when investigating complex interactions between multiple variables.
Факторные эксперименты помогают исследователям увидеть "большую картину", когда они исследуют сложные взаимодействия между несколькими переменными.
The term "factorial" derives from the Latin word "facere," which means "to make" or "to do." The concept of factorial design in experiments became popular in the early 20th century due to the development of statistical methods.
Synonyms: - Multifactorial analysis - Experimental design
Antonyms: - Single-factor experiment - Univariate analysis