All data, expressed as the means ± SD, were compared by one-way analysis of variance (ANOVA) using the Statistical Package of Social Science (SPSS, version 14.0K) program. Group means were considered significantly different at p<0.05, as determined by the technique of protected least-significant difference (LSD) when ANOVA indicated an overall significant treatment effect (p<0.05).
Spss version 14.0k
Manufactured by IBM
Sourced in United States
SPSS version 14.0K is a statistical software package. It provides data analysis and statistical modeling capabilities.
Automatically generated - may contain errors
Lab products found in correlation
7 protocols using spss version 14.0k
1
Statistical Analysis of Experimental Data
2
Dose-Dependent Behavioral Analysis
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All values are expressed as the mean ± standard deviation. Multiple-comparisons tests were performed for different dose groups. Levene's test was used to test for homogeneity in variance. If the Levene test indicated an insignificant deviation from variance homogeneity, the results were analyzed by one way analysis of variance, followed by the least-significant differences multi-comparison test assess significant differences between pairs of groups. For non-parametric analysis, the Kruskal-Wallis H test was used. When a significant difference was indicated by a Kruskal-Wallis H test, the Mann-Whitney U test was performed to identify specific pairs that differed significantly. SPSS (version 14.0K; SPSS, Inc., Chicago, IL, USA) was applied for statistical analyses. Differences were considered significant at P<0.05.
3
Statistical Analysis of Experimental Data
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All data were compared via one-way analysis of variance (ANOVA) using Statistical Package for the Social Sciences (SPSS, version 14.0K) software. Data are expressed as the means ± SEMs. Differences between groups were considered significant at p < 0.05, as determined by the protected least-significant difference (LSD) test when ANOVA indicated an overall significant treatment effect (p < 0.05).
4
Comparative Statistical Analysis of Experimental Data
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All data were compared via one-way analysis of variance using the Statistical Package for the Social Sciences (SPSS, version 14.0K; SPSS Inc., Chicago, IL, USA). Data are expressed as mean ± standard error of the mean. Group means were considered significantly different at p<0.05, as determined by the protected least significant difference test when analysis of variance indicated an overall significant treatment effect (p<0.05).
5
Statistical Analysis of RNA-seq Data
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The data were analyzed through two-sample t-test using Statistical Package for the Social Sciences (SPSS, version 14.0K) software and results are expressed as the means ± standard error of the means (SEMs). When the t-test indicated a significant overall treatment effect (p < 0.05), differences between groups were assessed using the least-significant difference (LSD) test, with significance set at p < 0.05. The p value from the RNA sequencing analysis was automatically extracted by a comparative analysis algorithm called edgeR.
6
Statistical Analysis of Experimental Data
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All data were compared via one-way analysis of variance (ANOVA) using the Statistical Package for the Social Sciences (SPSS, version 14.0K) program. The data are expressed as means ± standard error of measurement (SEM). Group means were considered significantly different at p < 0.05, as determined by the protected least-significant difference (LSD) test when ANOVA indicated an overall significant treatment effect (p < 0.05).
7
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
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All data were compared via one-way analysis of variance (ANOVA) using the Statistical Package of Social Science (SPSS, version 14.0K) program. Data are expressed as the mean ± SEM. Group means were significantly different at p<0.05, as determined based on the protected least-significant difference (LSD) test when an ANOVA indicated an overall significant treatment effect (p<0.05).
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