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I am having troble interpreting these two tables.

I am having troble interpreting these two tables.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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I am having troble interpreting these two tables. 

Table 1 Reductions of Salmonella Typhimurium and the surrogate Enterococcus faecium on butternut squashes by triple-wash across all concentrations of the mixer of hydrogen peroxide and peroxyacetic acid. Bacteria Whole Model ANCOVA Salmonella Typhimurium 2.17 ± 0.15 Enterococcus faecium 2.41 ± 0.15 P-value (>0.05) 0.2673 Note: Values are expressed as logioMPN/g least-square mean ± S.E. a Analysis of covariance using antimicrobial concentrations as a continuous variable (a covariate). b Analysis of variance using antimicrobial concentrations as categorial ordinal. Table 2 Cross-contamination of Salmonella Typhimurium and the surrogate Enterococcus faecium onto uninoculated butternut squashes during triple-wash across all concentrations of the mixer of hydrogen peroxide and peroxyacetic acid. Bacteria "1:6" Test "2:5" Test Cubic model Salmonella Typhimurium Enterococcus faecium Cubic model 1.42± 0.21 0.58 + 0.21 0.001 Quadratic model 1.69 ± 0.19 0.84 +0.19 ANOVAD 1.45 +0.34 1.89 ± 0.34 0.3564 1.23 ± 0.20 0.85 ± 0.20 0.04 Quadratic model 1.24 0.18 0.86 ± 0.18 P-value (<0.05) 0.001 0.04 Note: Values are expressed as logioMPN/g least-square mean ± S.E. a One inoculated triple-washed with six uninoculated squashes. b Two inoculated triple-washed with five uninoculated squashes.
Transcribed Image Text:Table 1 Reductions of Salmonella Typhimurium and the surrogate Enterococcus faecium on butternut squashes by triple-wash across all concentrations of the mixer of hydrogen peroxide and peroxyacetic acid. Bacteria Whole Model ANCOVA Salmonella Typhimurium 2.17 ± 0.15 Enterococcus faecium 2.41 ± 0.15 P-value (>0.05) 0.2673 Note: Values are expressed as logioMPN/g least-square mean ± S.E. a Analysis of covariance using antimicrobial concentrations as a continuous variable (a covariate). b Analysis of variance using antimicrobial concentrations as categorial ordinal. Table 2 Cross-contamination of Salmonella Typhimurium and the surrogate Enterococcus faecium onto uninoculated butternut squashes during triple-wash across all concentrations of the mixer of hydrogen peroxide and peroxyacetic acid. Bacteria "1:6" Test "2:5" Test Cubic model Salmonella Typhimurium Enterococcus faecium Cubic model 1.42± 0.21 0.58 + 0.21 0.001 Quadratic model 1.69 ± 0.19 0.84 +0.19 ANOVAD 1.45 +0.34 1.89 ± 0.34 0.3564 1.23 ± 0.20 0.85 ± 0.20 0.04 Quadratic model 1.24 0.18 0.86 ± 0.18 P-value (<0.05) 0.001 0.04 Note: Values are expressed as logioMPN/g least-square mean ± S.E. a One inoculated triple-washed with six uninoculated squashes. b Two inoculated triple-washed with five uninoculated squashes.
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Introduction

Anova is the measure that explains three or more variable mean significance. It is a type of parametric test. It shows the variation between and within the groups of data set. It explains three types of variation using the ANOVA and it uses the F test to make conclusions. 

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