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Statistical Analysis of Moisture Content in Tree Branch Cuts

Investigating the impact of cutting methods on tree branch moisture. Factors include species, locations, and transpiration types. Analysis includes ANOVA, mean squares, and post-hoc comparisons. Exciting insights await!

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Statistical Analysis of Moisture Content in Tree Branch Cuts

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  1. Model With Crossed and Nested Factors Moisture Content of Tree Branch Cuts McDermott, J.J. (1941). “The Effect of the Method of Cutting on the Moisture Content of Samples from Tree Branches”, American Journal of Botany, Vol.28,#6,pp.506-508.

  2. Model Description • Response: Moisture Content (10x% of Dry weight) • Factors: • Species (5 Replicate Branches per Species) • Loblolly Pine • Shortleaf Pine • Yellow Poplar • Red Gum • Branch Locations • Central • Distal • Proximal • Transpiration Types • Rapid (Hot, Dry, Sunny Day) • Slow (Cool, Moist, Cloudy Day)

  3. Statistical Model

  4. Analysis of Variance (Main/Nested Effects)

  5. Analysis of Variance (Interaction Terms)

  6. Expected Mean Squares (Main/Nested Effects)

  7. Expected Mean Squares (Interaction Terms)

  8. Testing for Interaction Effects

  9. Testing for Main/Nested Effects

  10. Analysis Of Variance

  11. Post-Hoc Comparisons – Species (by Loc/Tran)

  12. Post-Hoc Comparisons – Species (by Loc/Tran)

  13. Post-Hoc Comparisons – Species (by Loc/Tran)

  14. Post-Hoc Comparisons – Locations (by Spe/Tran)

  15. Post-Hoc Comparisons – Locations (by Spe/Tran)

  16. Post-Hoc Comparisons – Location (by Spc/Tran)

  17. Post-Hoc Comparisons – Transpirations (by Spe/Loc)

  18. Post-Hoc Comparisons – Transpirations (by Spe/Loc)

  19. Post-Hoc Comparisons – Transpiration (by Spc/Loc)

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