Document Type

Closed Project

Publication Date

Winter 2002

Instructor

Toryos Pandejpong

Course Title

Probability & Statistics for Technology Management

Course Number

EMGT 510/610

Subjects

Web sites -- Statistics -- Analysis, Web usage mining, Random variables -- Statistical methods

Abstract

The main purpose of this project is to apply several concepts studying in class to real situations that have already taken place. This project will focus on a number of visitors on a special website per day created for a long time by one of our team members. The number of visitors would be our random variable. In order to gather the data, we have a small counter program composed and attached to this website since the first day it started. The way program works is merely simple by counting and recording the number of visitors every day which means the data would be gathering automatically, easily, and simply. The expected size of our data is around 300 samples. That makes us analyze and synthesize the information precisely and rationally in the rest of the steps. In addition, we bring the numerical data obtained from our website to calculate the descriptive statistical values such as Mean, Median, Mode, and Standard Deviation. In order to identify the distribution of our data, the empirical and possible theoretic probabilities would be determined, and those probabilities would be compared visually and numerically to see which distribution seems to be best fit. At the end, we will see how well the theoretic distribution can represent our data distribution in this project.

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

Comments

This project is only available to students, staff, and faculty of Portland State University

Persistent Identifier

http://archives.pdx.edu/ds/psu/24001

Download

Share

COinS