Presentation Title

Fitting Distributions to Data Sets

Faculty Mentor

Lan Pham

Start Date

17-11-2018 12:30 PM

End Date

17-11-2018 2:30 PM

Location

CREVELING 16

Session

POSTER 2

Type of Presentation

Poster

Subject Area

physical_mathematical_sciences

Abstract

For every activity that we perform, day to day, we can find a dataset and distribution. The number of Tortillas that I reject could form a normal distribution. Prior to making the tortilla, the activity of mixing dough might form another sort of distribution. Kneading the dough might be a slower activity, and have yet another distribution. When analyzing different types of data from different activities, we can always find different distributions. However, discerning a data set’s specific distribution can be difficult at one glance. For this reason, I would like to look at various activities that we do in our day to day life, see what distributions would fit each, and compare the data sets from those distributions, in order to find patterns that might make it easier to evaluate what data set would fit what distribution. The activities could be either discrete or continuous.

This document is currently not available here.

Share

COinS
 
Nov 17th, 12:30 PM Nov 17th, 2:30 PM

Fitting Distributions to Data Sets

CREVELING 16

For every activity that we perform, day to day, we can find a dataset and distribution. The number of Tortillas that I reject could form a normal distribution. Prior to making the tortilla, the activity of mixing dough might form another sort of distribution. Kneading the dough might be a slower activity, and have yet another distribution. When analyzing different types of data from different activities, we can always find different distributions. However, discerning a data set’s specific distribution can be difficult at one glance. For this reason, I would like to look at various activities that we do in our day to day life, see what distributions would fit each, and compare the data sets from those distributions, in order to find patterns that might make it easier to evaluate what data set would fit what distribution. The activities could be either discrete or continuous.