Overview of the analysis
-
Updated
Oct 16, 2016
Overview of the analysis
This is a project I did in the Spring of 2017 for a graduate course in Statistical Computing. I was asked to find the descriptive statistics of 1000 simulations of a distribution, specifically to find the mean, median, midrange, and interquartile range of the simulations. I was asked to find these statistics for 1000 simulations of sample sizes …
This project is based on the Udacity course: Intro to Descriptive Statistics.
Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
Desktop app that estimates the probability of price movements for stocks
Compare the means of two groups (male & female) body temparatures
C++ and Julia Normal distribution generated with uniform distribution
Naive Bayes classifier
Exercise solution o Mathematical Statistic course
Schedules a set of simulated processes in a single processor system and a multi-processor system using the Shortest Job First (SJF) scheduling algorithm.
Random data generator from scratch. (Using numpy for simple mathematical functions only)
Anomaly Detection using C#
a simple shiny app that perform statistical tests such as normal test, t-test, and chi-square test
Identifying and avoiding common misinterpretations in using statistics
Fire Detection and Alarm Topology ( based in Neural Network ) in Java ME
Examples of normal distribution with python
This http traffic generator uses a Normal distribution to limit the connection per second
A text analyzer to tell the sentiment in a given text
Add a description, image, and links to the normal-distribution topic page so that developers can more easily learn about it.
To associate your repository with the normal-distribution topic, visit your repo's landing page and select "manage topics."