I am having troble interpreting these two tables. Table 1Reductions of Salmonella Typhimurium and the surrogate Enterococcus faeciumon butternut squashes by triple-wash across all concentrations of the mixer ofhydrogen peroxide and peroxyacetic acid.BacteriaWhole Model ANCOVASalmonella Typhimurium2.17 ± 0.15Enterococcus faecium2.41 ± 0.15P-value (>0.05)0.2673Note: Values are expressed as logioMPN/g least-square mean ± S.E.a Analysis of covariance using antimicrobial concentrations as a continuousvariable (a covariate).b Analysis of variance using antimicrobial concentrations as categorialordinal.Table 2Cross-contamination of Salmonella Typhimurium and the surrogate Enterococcusfaecium onto uninoculated butternut squashes during triple-wash across allconcentrations of the mixer of hydrogen peroxide and peroxyacetic acid.Bacteria"1:6" Test"2:5" TestCubicmodelSalmonellaTyphimuriumEnterococcus faeciumCubicmodel1.42±0.210.58 +0.210.001Quadraticmodel1.69 ± 0.190.84 +0.19ANOVAD1.45 +0.341.89 ± 0.340.35641.23 ±0.200.85 ±0.200.04Quadraticmodel1.24 0.180.86 ± 0.18P-value (<0.05)0.0010.04Note: 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.

Answered: I am having troble interpreting these…

Math

Statistics

I am having troble interpreting these two tables.

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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Question

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.

Expert Solution

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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