1 / 4

Hypothesis Development Compiled by Caron E. Gala CSES Masters Candidate January 2004

Hypothesis Development Compiled by Caron E. Gala CSES Masters Candidate January 2004. Conceptual Notes on how to: develop and test A hypothesis involving the distribution of soil characteristics in 2 or 3 dimensional space. Null Hypothesis H o : μ 1 = μ 2 = μ 3 … μ t

ethan
Download Presentation

Hypothesis Development Compiled by Caron E. Gala CSES Masters Candidate January 2004

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Hypothesis DevelopmentCompiled by Caron E. Gala CSES Masters Candidate January 2004 Conceptual Notes on how to: develop and test A hypothesis involving the distribution of soil characteristics in 2 or 3 dimensional space.

  2. Null Hypothesis Ho:μ1 = μ2 = μ3… μt Alternative Hypothesis Ha: at least one of the t population means are different from the rest. Hypothesis Testing μ1

  3. Hypothesis Example: H1(o) = There is no difference in the ability of ASTER or Hyperion to detect underwater vegetation. H1(alt1) = Aster imagery detects more underwater vegetation than Hyperion. H1(alt2) = Aster imagery detects less underwater vegetation than Hyperion.

  4. Objective Example: The objectives of this study are to: • validate the accuracy of ASTER and Hyperion data to detect underwater vegetation with field sampling, • …….(depends on hypothesis 2!)

More Related