Noun
/ɪmˈpɪrɪkl ˈoʊɡɪv/
An empirical ogive is a type of cumulative frequency graph used in statistics that represents the proportion or count of observations that fall below a certain value in a dataset. It is particularly useful for understanding the distribution of data and identifying trends. The frequency of use for this term is predominantly in academic and professional contexts, particularly in statistics, data analysis, and research.
The empirical ogive is more commonly used in written contexts, such as textbooks, research papers, or statistical reports, rather than in everyday oral speech.
Исследователь изобразил эмпирическую огиву, чтобы показать распределение баллов на тесте в исследовании.
To analyze the data effectively, it is essential to create an empirical ogive that clearly indicates the cumulative frequency.
Чтобы эффективно проанализировать данные, обязательно необходимо создать эмпирическую огиву, которая четко показывает накопленную частоту.
The presentation included an empirical ogive, which helped the audience understand the underlying trends in the data.
The term empirical ogive is quite specific and does not frequently appear in idiomatic expressions. However, understanding the concept can lead to relevant phrases in statistical contexts. Here are some ways it might be creatively contextualized:
"В статистике использование эмпирической огивы может помочь получить более полное представление о распределении данных."
"When data is scarce, one must rely on empirical ogives to visualize potential outcomes."
"Когда данных мало, необходимо полагаться на эмпирические огивы для визуализации потенциальных результатов."
"Analyzing the empirical ogive led us to several unexpected insights."
The term empirical derives from the Greek word empeiria, meaning "experience," referring to knowledge gained through observation. The word ogive comes from the French ogive, which refers to the curve in architecture and later in statistics. In the context of statistics, it describes a cumulative curve.
Synonyms: cumulative frequency graph, cumulative distribution function, empirical cumulative distribution function (ECDF)
Antonyms: descriptive statistics (in general terms), discrete data representation (in contrast to accumulation)