Journals / Black Sea Journal of Engineering and Science / 2026 / Cilt: 2 Sayı: 1

Comparison of Commonly Used Statistics Package Programs

Ömer Faruk Karaokur(Kahramanmaras Sutcu Imam University, Institute of Science and Tecnology, Department of Animal Science)0000-0002-3436-8415
Fahrettin Kaya(Kahramanmaras Sutcu Imam University, Andirin Vocational School, Computer Tecnology Departmant)
Esra Yavuz(Kahramanmaras Sutcu Imam University, Institute of Science and Tecnology, Department of Animal Science)
Aysel Yenipınar(Kahramanmaras Sutcu Imam University, Institute of Science and Tecnology, Department of Animal Science)
Pages
26–32
Publication Date
2019-01-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result of this study, the features of licensed and unlicensed programs are presented to the researchers in a comparative way.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The specialized computer programs used in the collection, organization, analysis, interpretation and presentation of the data are known as statistical software.
📊
Key Findings & Data:For this purpose, 5 most commonly used software were selected from each groups.
💡
Conclusion & Impact:As a result of this study, the features of licensed and unlicensed programs are presented to the researchers in a comparative way.
🔬Design:Derleme
📍Scope:Comprehensive Sample
⚙️Variables:Statistical software · Statistical analysis · Data analysis

Abstract

The specialized computer programs used in the collection, organization, analysis, interpretation and presentation of the data are known as statistical software. Descriptive statistics and inferential statistics are two main statistical methodologies in some of the software used in data analysis. Descriptive statistics summarizes data in a sample using indices such as mean or standard deviation. Inferential statistics draws conclusions that are subject to random variables such as observational errors and sampling variation. In this study, statistical software used in data analysis is examined under two main headings as open source (free) and licensed (paid). For this purpose, 5 most commonly used software were selected from each groups. Statistical analyzes and analysis outputs of this selected software have been examined comparatively. As a result of this study, the features of licensed and unlicensed programs are presented to the researchers in a comparative way.

🔖

Cite This Article

Karaokur, Ö. F., Kaya, F., Yavuz, E., Yenipınar, A. (2019). Comparison of Commonly Used Statistics Package Programs. Black Sea Journal of Engineering and Science, Cilt: 2 Sayı: 1, 26–32. https://ajindex.com/articles/1467533

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (10)

  1. Anonymous, 2018a. SAS University Edition. https://www.sas.com/en_us/software/university-edition.html (access date: 20.07.2018).
  2. Anonymous, 2018b. PAST. http://folk.uio.no/ohammer/past/, (Date of access: 15.08.2018).
  3. Anonymous, 2018c. MacAnova. http://www.stat.umn.edu/macanova/, (access date: 09.08.2018).
  4. Anonymous, 2018d. GNU PSPP. https://www.gnu.org/software/pspp/, (access date: 01.08.2018).
  5. Anonymous, 2018e. Develve. https://develve.net, (access date: 10.07.2018).
  6. Anonymous, 2018f. IBM SPSS Modeler. https://www.ibm.com/analytics/spss-statistics-software, (access date: 26.08.2018).
  7. Anonymous, 2018g. Matlab. https://www.mathworks.com/products/matlab.html, (access date: 20.08.2018).
  8. Anonymous, 2018h. Minitab. http://www.minitab.com/en-us/, (access date: 05.08.2018).
  9. Anonymous, 2018i. Stata. https://www.stata.com, (access date: 25.07.2018).
  10. Anonymous, 2018j. Acastat. https://www.acastat.com, (access date: 25.08.2018).