quartile
There are 17 repositories under quartile topic.
nilsstreedain/quartiles-solver
Online tool for solving Apple News+ Quartiles
AlexeySKiselev/randomjs
A JavaScript module for generating random seeded distributions and its statistical analysis.
christianbender/statistic
This repository contains a statistic library for the C programming language which prepare useful functions for dealing with average, standard deviation etc.
pub-calculator-io/quartile-calculator
Free WordPress Plugin: The quartile calculator helps to find the first(Q1), second(Q2), and third(Q3) quartiles, interquartile range, minimum and maximum values, and range of a data set. www.calculator.io/quartile-calculator/
DeepthiTabithaBennet/Python_AppliedStatistics
A collection of simple Python Programs for Applied Statistics.
BelisAliosmanova/EmpiricalDistributions
Statistical Data Visualization Tool
sharmasapna/10-Days-of-Statistics-HackerRank-solutions
10 Days of Statistics Hackerrank Solutions
Suchibrata-Patra/C_Programming_Practicals
C Programming Solutions for Real Analysis and Numerical Analysis Problems
vaitybharati/A4-Aczel-problems-practice-1-16-1-22-1-34-
Following are the numbers of daily bids received by the government of a developing country from firms interested in winning a contract for the construction of a new port facility
vaitybharati/A5-Aczel-problems-practice-1-17-1-23-1-35-
Data: 23, 26, 29, 30, 32, 34, 37, 45, 57, 80, 102, 147, 210, 355, 782, 1209
zSnout/Statistics.JS
This repository contains the source code for Statistics.JS.
E-Lyon/python-manual-quartile
Finding quartiles without importing numpy
SofiaKauser/Squamous-Cell-Carcinoma-SCC-Treatment-Performance
Data from skin cancer screening, used to compile a scientific report of the medical findings
thc2cat/quartile
quartile , and modified Z-score cli to detect abnormal values
alishahusain/GEOG-458-Python-Assignment
Python Geo Earth Systems HTTP Request Library Quartile Function Indexing Earch Research Laboratory
manouarn/TP2022
Exercices1: Quartiles, Outlier Detection and BarPlot .Exercice2: Logistic regression compared with linear model.