Comparison of Commonly Used Statistics Package Programs

Year 2019, Volume: 2 Issue: 1, 26 - 32, 01.01.2019

Ömer Faruk Karaokur , Fahrettin Kaya , Esra Yavuz , Aysel Yenipınar

https://izlik.org/JA96PH83LM

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.

Keywords

Statistical software , Statistical analysis , Data analysis

References

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