Statistical Calculation of Mean, Median, Mode, and Standard Deviation Using PHP programming language

ARIFANTORO, ALBERTUS SEPTIO (2015) Statistical Calculation of Mean, Median, Mode, and Standard Deviation Using PHP programming language. Other thesis, Prodi Teknik Informatika Unika Soegijapranata Semarang.

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Abstract

This program describes the Statistical calculation of Mean, Median, mode, and standard deviation. Users are able to understand the results of the statistics by way of pasting a CSV file that contains numerical data as well as the letter. Due to the vast amount of numerical data, or data contained in the letter of the Statistics then this program presents a statistical calculation that calculates about Mean, Median, mode, Standard Deviation, and that aims to make it easier for the user in the process of its calculations. In addition, the program can display a graph that would later help the user in viewing the statistical results. The goal of this program is to help the user in the calculation of the statistics prove very difficult and long certainly spend a very long time, so after using this program can be generated calculating statistics Mean, Median, mode, Standard Deviation quickly, and right. After the results of its calculations indicated to the user in the form of text that contains the results of Mean, Median, mode, Standard Deviation, and then after that the user will be shown the results of a calculation in the form of graphs. graph line graph is used because it is easier in reading and understanding the content of the statistical data. This program is created by using the PHP programming language, and 2 dimensional array for data structures. strukutur 2-dimensional array of data serves to store data to be displayed

Item Type:	Thesis (Other)
Subjects:	300 Social Sciences > 310 Statistics
Divisions:	Faculty of Computer Science > Department of Informatics Engineering
Depositing User:	Mrs Christiana Sundari
Date Deposited:	04 Nov 2015 01:29
Last Modified:	06 Jun 2023 03:07
URI:	http://repository.unika.ac.id/id/eprint/5780

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