1 / 11

By: Corey T. Williams 03 May 2001

MA 354 Project:. Power Plant Experiment. By: Corey T. Williams 03 May 2001. Introduction. Situation Objective. Methods of Analysis. Mathematica SAS. Experiment Scheme. Type of Experiment Randomization Areas Flora Blocks Month Area Replication. Experiment Layout. Water Flow.

danielle-hunter
Download Presentation

By: Corey T. Williams 03 May 2001

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. MA 354 Project: Power Plant Experiment By: Corey T. Williams 03 May 2001

  2. Introduction • Situation • Objective

  3. Methods of Analysis • Mathematica • SAS

  4. Experiment Scheme • Type of Experiment • Randomization • Areas • Flora • Blocks • Month • Area • Replication

  5. Experiment Layout Water Flow S2 S1 S3 D S4 Power Plant

  6. Statistical Methods • GLM Procedure • Classification of Variables • Model • Scheffe’s Test on Means

  7. SAS Code options linesize=75; data PwrPlant; input month $ station rep flora @@; cards; May 1 1 29 May 2 1 32 May 3 1 51 May 4 1 63 May 1 2 30 May 2 2 36 May 3 2 52 May 4 2 60 Jun 1 1 28 Jun 2 1 26 Jun 3 1 57 Jun 4 1 69 Jun 1 2 21 Jun 2 2 28 Jun 3 2 59 Jun 4 2 74 Jul 1 1 34 Jul 2 1 31 Jul 3 1 49 Jul 4 1 66 Jul 1 2 40 Jul 2 2 29 Jul 3 2 58 Jul 4 2 62 Aug 1 1 35 Aug 2 1 28 Aug 3 1 54 Aug 4 1 67 Aug 1 2 37 Aug 2 2 32 Aug 3 2 60 Aug 4 2 68 ; procprint; title 'Plant Growth in Nearby Bay'; procglm; class station month rep; model flora=month station rep station*month; lsmeans station month rep; means station month rep/scheffe; procsort; by month station rep; procmeans mean; var flora; by month station; output out=PwrPlant2 mean=mflora; procplot data=PwrPlant2; plot mflora*station=month mflora*month=station; run;

  8. SAS Results DEPENDENT VARIABLE: Flora Sum of Source DF Squares Mean Square F-Value Pr > F Model 16 7942.750000 496.421875 57.85 <.0001 Error 15 128.718750 8.581250 Corrected Total 31 8071.468750 R-Square Coeff Var Root MSE blades Mean 0.984053 6.398639 2.929377 45.78125 Source DF Type III SS Mean Square F-Value Pr > F month 3 52.343750 17.447917 2.03 0.1524 station 3 7495.593750 2498.531250 291.16 <.0001 rep 1 22.781250 22.781250 2.65 0.1241 station*month 9 372.031250 41.336806 4.82 0.0038

  9. Block by Station Scheffe Grouping** Mean N Station A 66.125 8 4 B 55.000 8 3 C 31.750 8 1 C C 30.250 8 2 Block by Month Scheffe Grouping** Mean N Month A 47.625 8 Aug A A 46.125 8 Jul A A 45.250 8 Jun A A 44.125 8 May Scheffe's Tests **Means with the same letter are not significantly different.

  10. Conclusion • Model • Areas • Months • Replications

  11. Questions or Comments?

More Related