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Sas 9.1.3 statistical analysis software for windows

Manufactured by SAS Institute

SAS 9.1.3 is a statistical analysis software application for the Windows operating system. It provides a range of tools and functions for data analysis, modeling, and reporting. The software is designed to enable users to access, manage, analyze, and present data from various sources.

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Lab products found in correlation

2 protocols using sas 9.1.3 statistical analysis software for windows

1

Dietary Influence on Sensory Attributes

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Data were subjected to a one-way ANOVA with experimental diet (C, HI50 and HI100) as fixed effect, following the GLM procedure of the SAS 9.1.3 Statistical Analysis Software for Windows [19 ]. A mixed model (PROC MIXED) was used to detect any dietary influence on sensory analysis scores, therefore considering experimental diet and the eight panelists as fixed and random effects, respectively. Least square means were obtained using the Bonferroni test and the significance was calculated at a 5% confidence level.
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2

Morphological Analysis of Avian Oocysts

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Morphological features (shape, presence/absence of oocyst micropyle, and polar granule), and morphometric data (length, L and width, W) were registered for each of the observed oocysts and sporocysts in a dataset created by using the Excel software, version 2016. The diverse shapes of the oocysts were evaluated using the shape index (S.I.) value, expressed as the L/W ratio: spherical (S.I. = 1.0), subspherical (S.I. = 1.0–1.1), and “ellipsoidal complex” (S.I. > 1.1), including ellipsoidal or ovoidal oocysts (Berto et al., 2014b ). Normally distributed, continuous data of the oocysts and sporocysts (i.e. L, W, S.I.), and their observed surface value (S.V.) expressed by the formula [(L/2) × (W/2) × π], were analyzed using ANOVA linear model, SAS 9.1.3 statistical analysis software for Windows (SAS Institute Inc., Cary, NC, version 9.4), which included the fixed effect of groups represented by the contents of the 2 different intestinal tracts (caeca vs. cloaca). Least square means were obtained, and post-hoc pairwise comparisons were performed using the Bonferroni correction. A statistical significance was considered with a value of P ≤ 0.05.
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