Online Application Of Descriptive Statistics For Data Concentration Analysis

DOI

10.2991/978-2-38476-202-6_28How to use a DOI?

Keywords

online application; descriptive statistics; data concentration

Abstract

Statistics is a branch of science that studies ways of collecting, processing, presenting, analyzing, interpreting and drawing conclusions from data. Descriptive Statistics Is a part of statistics that carries out the tasks of collecting data, classifying, processing and presenting quantitative data. This descriptive statistics only describes the characteristics or traits possessed by a group of data, without generalizing, namely drawing general conclusions based on sample data applied to the population. The forms of processing carried out on data samples consist of: data concentration, distribution and other processing. With advances in information technology, several statistical applications have been developed, but these applications directly present the final results of data processing without displaying the processing steps to obtain the final results. This is inadequate in terms of user understanding, because users do not get a clear explanation of the steps for solving problems based on statistics. This research intends to produce software that will provide detailed theories, formulas and data processing steps to obtain the planned final results. This research uses the method Waterfall [8] [9] or linear sequential, namely a sequential and systematic software development method consisting of: Analysis, Design, Coding and Testing. The results of making this application are data concentration processing, data dispersion processing and other processing. In this article, the results of data concentration processing will be presented which will show in detail the theory, formulas and problem solving steps to get the final results. These results will make it easier for users to understand and the presentation will be interesting.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - I. Gusti Agung Sadnyana Putra
AU  - I. Ketut Suja
AU  - I. Gusti Agung Uttami Vishnu Putri
PY  - 2024
DA  - 2024/02/15
TI  - Online Application Of Descriptive Statistics For Data Concentration Analysis
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2023 (iCAST-SS 2023)
PB  - Atlantis Press
SP  - 193
EP  - 203
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-202-6_28
DO  - 10.2991/978-2-38476-202-6_28
ID  - Putra2024
ER  -