Title

A Statistical Analysis of Organic and Conventional Prices

Faculty Mentor(s)

Gina Reed

Campus

Gainesville

Proposal Type

Presentation - proposed research/incomplete

Subject Area

Mathematics

Location

Robinson Ballroom A

Start Date

1-4-2015 9:00 AM

End Date

1-4-2015 10:00 AM

Description/Abstract

ARC Presentation Proposal:

The Statistical Analysis of Organic and Conventional Produce Prices

Teri Cameron, Woody Depew and Emile Phommavongsy would like to present our research from Professor Gina Reed’s Honors Statistics 2400. Our research determines statistical significance through hypothesis testing and statistical analysis of the question proposed by GA Organic, a local non-profit: Can conventional prices be used to predict organic prices? Further, we will present our findings using PowerPoint and statistical software, Minitab, demonstrating our findings by graphs and charts during our presentation.

Our research focuses on three elements of yearly statistical data for produce prices. Each presenter will model the relationship between the two variables of Organic and Conventional prices by examining produce prices from the United States Department of Agriculture (USDA). The USDA reports the averages of conventional and organic prices in major markets across the US. This data can be interpreted to analyze price trends over time. Consequently, the Atlanta, Georgia market will provide data for our variables: Romaine lettuce in 2012, Romaine lettuce in 2013, and Sweet potatoes in 2012.

We believe there is a strong positive linear relationship between organic and conventional prices. Accordingly, we present our statistical evidence through summary statistics, such as mean, median, interquartile range, and standard deviation, as well as, descriptive and inferential methods of analysis. The coefficient of determination will be used to measure “the goodness of fit” by the regression equation, illuminating a proportion of variability in the linear relationship between “x” and “y.” Our conclusion will state whether there is statistical significance between the prices of organic and conventional produce.

Note to Conference Administrators

A Statistical Analysis of Organic and Conventional Prices. We are a three person panel presenting together.

The presenters are Teri Cameron, Woody Depew, and Emile Phommavongsy.

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Apr 1st, 9:00 AM Apr 1st, 10:00 AM

A Statistical Analysis of Organic and Conventional Prices

Robinson Ballroom A

ARC Presentation Proposal:

The Statistical Analysis of Organic and Conventional Produce Prices

Teri Cameron, Woody Depew and Emile Phommavongsy would like to present our research from Professor Gina Reed’s Honors Statistics 2400. Our research determines statistical significance through hypothesis testing and statistical analysis of the question proposed by GA Organic, a local non-profit: Can conventional prices be used to predict organic prices? Further, we will present our findings using PowerPoint and statistical software, Minitab, demonstrating our findings by graphs and charts during our presentation.

Our research focuses on three elements of yearly statistical data for produce prices. Each presenter will model the relationship between the two variables of Organic and Conventional prices by examining produce prices from the United States Department of Agriculture (USDA). The USDA reports the averages of conventional and organic prices in major markets across the US. This data can be interpreted to analyze price trends over time. Consequently, the Atlanta, Georgia market will provide data for our variables: Romaine lettuce in 2012, Romaine lettuce in 2013, and Sweet potatoes in 2012.

We believe there is a strong positive linear relationship between organic and conventional prices. Accordingly, we present our statistical evidence through summary statistics, such as mean, median, interquartile range, and standard deviation, as well as, descriptive and inferential methods of analysis. The coefficient of determination will be used to measure “the goodness of fit” by the regression equation, illuminating a proportion of variability in the linear relationship between “x” and “y.” Our conclusion will state whether there is statistical significance between the prices of organic and conventional produce.