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Sas statistical software package v 9

Manufactured by SAS Institute
Sourced in United States

SAS Statistical Software Package v.9.2 is a comprehensive data analysis and statistical software suite. It provides a range of tools for data management, statistical analysis, and reporting. The software is designed to handle large and complex datasets, and offers a wide variety of statistical methods and techniques.

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Lab products found in correlation

6 protocols using sas statistical software package v 9

1

Sleep Patterns and Suicidal Behavior

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In this study, five different models were tested. Model 1 tested the relationship between awakening time and suicide-related behaviours, adjusted for socioeconomic, health risk and behavioural variables. Model 2 tested the relationship between bedtime and suicide-related behaviours, adjusted for socioeconomic, health risk and behavioural variables. Model 3 tested the relationship among awakening time, bedtime and suicidal thoughts, adjusted for socioeconomic, health risk and behavioural variables. Model 4 tested the relationship between time in bed and suicidal thoughts, adjusted for socioeconomic, health risk and behavioural variables. Model 5 tested the relationship among awakening time, bedtime and duration and suicidal thoughts, adjusted for socioeconomic, health risk and behavioural variables.
To analyse whether general characteristics, health status and health risk behaviour were associated with suicidal thoughts, t tests, χ2 tests and multiple logistic regression analyses were used. For all analyses, a two-tailed p value ≤0.05 was considered to indicate statistical significance. All analyses were conducted using the SAS statistical software package V.9.2 (SAS Institute Inc, Cary, North Carolina, USA).
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2

Comparative Analysis of Plant Growth

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All data gather was analyzed via analysis of variance (ANOVA) Procedures, using the SAS Statistical Software Package v.9.2 (SAS, 2008) . Differences between means were compared by the least significant difference (LSD) at 5% level of significant (Gomez and Gomez, 1984) .
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3

Statistical Analysis of Experimental Data

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All collected data were analyzed with analysis of variance (ANOVA) Procedures, using the SAS Statistical Software Package v.9.2 (SAS, 2008) . Differences between means were compared by revised least significant difference (R LSD) at 5% level of significant (Gomez and Gomez, 1984) .
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4

Statistical Analysis of Experimental Data

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All collected data were analyzed with analysis of variance (ANOVA) Procedures, using the SAS Statistical Software Package v.9.2 (SAS, 2008) . Differences between means were compared by the least significant difference (LSD) at 5% level of significant (Gomez and Gomez, 1984) .
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5

Statistical Analysis of Experimental Data

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All collected data were analyzed with analysis of variance (ANOVA) Procedures, using the SAS Statistical Software Package v.9.2 (SAS, 2008) . Differences between means were compared by least significant difference (LSD) at a 5% level of significance (Gomez and Gomez, 1984) .
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6

Investigating Zinc Oxide Nanoparticles in Sorghum

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All collected data were subjected to the analysis of variance (ANOVA), procedures (Gomez and Gomez; 1984) , using the SAS Statistical Software Package v.9.2 (SAS, 2008) . Differences between means were compared by revised least significant difference (LSD) at 5 % level of significant 198 Table 2. Effect of zinc oxide nanoparticles concentrations, grain sorghum cultivars and their interaction on plant height/plant.
*and ** mean significant 5 and 1% at level of probability, respectively.
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