Basic statistics for data collection and treatment

Victoria A. Jideani; Afam I. O. Jideani; Ivanka Zheleva; Todor Todorov; Hüseyin Bozkurt; Fahrettin Göğüş; Gerhard Schleining; Zsuzsa H. Horváth; Cecília Hodúr; Prisana Suwannaporn; Teresa Brandão; Mafalda Quintas; Cristina Silva; Edward Muntean

doi:10.1007/978-3-031-51568-2_1

Basic statistics for data collection and treatment

Victoria A. Jideani, Afam I. O. Jideani, Ivanka Zheleva, Todor Todorov, Hüseyin Bozkurt, Fahrettin Göğüş, Gerhard Schleining, Zsuzsa H. Horváth, Cecília Hodúr, Prisana Suwannaporn, Teresa Brandão, Mafalda Quintas, Cristina Silva, Edward Muntean

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter provides a comprehensive overview of the different scales of measurement used in statistical analysis, which are essential for the correct classification and interpretation of data. The chapter outlines the four primary scales of measurement: nominal, ordinal, interval, and ratio, each of which has distinct characteristics and applications in research. The text emphasizes the importance of selecting the appropriate scale to accurately analyze and present data, thereby enhancing the validity of research findings. Through detailed explanations and examples, the text aims to equip readers with the knowledge to effectively organize and summarize data, apply suitable statistical tests, and interpret results accurately. This foundational understanding is crucial for students, researchers, and professionals in quantitative research and data analysis.

Original language	English
Title of host publication	Statistics in food and biotechnology
Subtitle of host publication	from theory to practical applications
Editors	Gerhard Schleining, Saverio Mannino, Prisana Suwannaporn
Publisher	Springer Nature
Pages	1-154
Number of pages	154
ISBN (Electronic)	9783031515682
ISBN (Print)	9783031515675, 9783031515705
DOIs	https://doi.org/10.1007/978-3-031-51568-2_1
Publication status	Published - 25 Oct 2024

Publication series

Name	Integrating food science and engineering knowledge into the food chain
ISSN (Print)	2512-2223
ISSN (Electronic)	2512-2258

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10.1007/978-3-031-51568-2_1

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Jideani, V. A., Jideani, A. I. O., Zheleva, I., Todorov, T., Bozkurt, H., Göğüş, F., Schleining, G., Horváth, Z. H., Hodúr, C., Suwannaporn, P., Brandão, T., Quintas, M., Silva, C., & Muntean, E. (2024). Basic statistics for data collection and treatment. In G. Schleining, S. Mannino, & P. Suwannaporn (Eds.), Statistics in food and biotechnology: from theory to practical applications (pp. 1-154). (Integrating food science and engineering knowledge into the food chain). Springer Nature. https://doi.org/10.1007/978-3-031-51568-2_1

Jideani, Victoria A. ; Jideani, Afam I. O. ; Zheleva, Ivanka et al. / Basic statistics for data collection and treatment. Statistics in food and biotechnology: from theory to practical applications. editor / Gerhard Schleining ; Saverio Mannino ; Prisana Suwannaporn. Springer Nature, 2024. pp. 1-154 (Integrating food science and engineering knowledge into the food chain).

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title = "Basic statistics for data collection and treatment",

abstract = "This chapter provides a comprehensive overview of the different scales of measurement used in statistical analysis, which are essential for the correct classification and interpretation of data. The chapter outlines the four primary scales of measurement: nominal, ordinal, interval, and ratio, each of which has distinct characteristics and applications in research. The text emphasizes the importance of selecting the appropriate scale to accurately analyze and present data, thereby enhancing the validity of research findings. Through detailed explanations and examples, the text aims to equip readers with the knowledge to effectively organize and summarize data, apply suitable statistical tests, and interpret results accurately. This foundational understanding is crucial for students, researchers, and professionals in quantitative research and data analysis.",

author = "Jideani, \{Victoria A.\} and Jideani, \{Afam I. O.\} and Ivanka Zheleva and Todor Todorov and H{\"u}seyin Bozkurt and Fahrettin G{\"o}ğ{\"u}{\c s} and Gerhard Schleining and Horv{\'a}th, \{Zsuzsa H.\} and Cec{\'i}lia Hod{\'u}r and Prisana Suwannaporn and Teresa Brand{\~a}o and Mafalda Quintas and Cristina Silva and Edward Muntean",

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Jideani, VA, Jideani, AIO, Zheleva, I, Todorov, T, Bozkurt, H, Göğüş, F, Schleining, G, Horváth, ZH, Hodúr, C, Suwannaporn, P, Brandão, T, Quintas, M, Silva, C & Muntean, E 2024, Basic statistics for data collection and treatment. in G Schleining, S Mannino & P Suwannaporn (eds), Statistics in food and biotechnology: from theory to practical applications. Integrating food science and engineering knowledge into the food chain, Springer Nature, pp. 1-154. https://doi.org/10.1007/978-3-031-51568-2_1

Basic statistics for data collection and treatment. / Jideani, Victoria A.; Jideani, Afam I. O.; Zheleva, Ivanka et al.
Statistics in food and biotechnology: from theory to practical applications. ed. / Gerhard Schleining; Saverio Mannino; Prisana Suwannaporn. Springer Nature, 2024. p. 1-154 (Integrating food science and engineering knowledge into the food chain).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Basic statistics for data collection and treatment

AU - Jideani, Victoria A.

AU - Jideani, Afam I. O.

AU - Zheleva, Ivanka

AU - Todorov, Todor

AU - Bozkurt, Hüseyin

AU - Göğüş, Fahrettin

AU - Schleining, Gerhard

AU - Horváth, Zsuzsa H.

AU - Hodúr, Cecília

AU - Suwannaporn, Prisana

AU - Brandão, Teresa

AU - Quintas, Mafalda

AU - Silva, Cristina

AU - Muntean, Edward

PY - 2024/10/25

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N2 - This chapter provides a comprehensive overview of the different scales of measurement used in statistical analysis, which are essential for the correct classification and interpretation of data. The chapter outlines the four primary scales of measurement: nominal, ordinal, interval, and ratio, each of which has distinct characteristics and applications in research. The text emphasizes the importance of selecting the appropriate scale to accurately analyze and present data, thereby enhancing the validity of research findings. Through detailed explanations and examples, the text aims to equip readers with the knowledge to effectively organize and summarize data, apply suitable statistical tests, and interpret results accurately. This foundational understanding is crucial for students, researchers, and professionals in quantitative research and data analysis.

AB - This chapter provides a comprehensive overview of the different scales of measurement used in statistical analysis, which are essential for the correct classification and interpretation of data. The chapter outlines the four primary scales of measurement: nominal, ordinal, interval, and ratio, each of which has distinct characteristics and applications in research. The text emphasizes the importance of selecting the appropriate scale to accurately analyze and present data, thereby enhancing the validity of research findings. Through detailed explanations and examples, the text aims to equip readers with the knowledge to effectively organize and summarize data, apply suitable statistical tests, and interpret results accurately. This foundational understanding is crucial for students, researchers, and professionals in quantitative research and data analysis.

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ER -

Jideani VA, Jideani AIO, Zheleva I, Todorov T, Bozkurt H, Göğüş F et al. Basic statistics for data collection and treatment. In Schleining G, Mannino S, Suwannaporn P, editors, Statistics in food and biotechnology: from theory to practical applications. Springer Nature. 2024. p. 1-154. (Integrating food science and engineering knowledge into the food chain). doi: 10.1007/978-3-031-51568-2_1

Basic statistics for data collection and treatment

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