Data are presented as mean ± standard error of mean (SEM). Student t test was used to analyze differences in the SPSS/PC program (Version 19.0; SPSS Inc, Chicago, Illinois). P < .05 was considered statistically significant.
Spss pc program
Manufactured by IBM
Sourced in United States
SPSS/PC is a computer program designed for statistical analysis. It provides tools for data management, visualization, and a range of statistical procedures. The program is intended to assist in the analysis of data and the interpretation of results.
Automatically generated - may contain errors
Lab products found in correlation
6 protocols using spss pc program
1
Analysis of Student t-test Data
2
Comparative Analysis of Parameter Groups
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Parameters from different groups were compared using one-way analysis of variance (ANOVA) followed by Bonferroni's post-hoc test. All values are presented as mean ± SD. Differences were considered significant at p < 0.05. Data were analyzed using SPSS/PC program (version 17; SPSS, Chicago, IL, USA).
3
Gender-Specific Biochemical Analysis
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Two-way analysis of variance (ANOVA) [44 ] accompanied by one-way ANOVA using the SPSS/PC program (version 20.0; SPSS, Chicago, IL) and post hoc LSD test was used to statistically analyze biochemical variable measurements (P < 0.05 was considered to be significant). Two-way ANOVA was applied to assess the effects of gender, treatment, and gender/treatment interaction.
4
Behavioral Analysis of Treatment Effects
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Behavioral data were analyzed using one-way ANOVA and post hoc Tukey's test. Values were considered statistically significant if p < 0.05. Results are presented as mean ± SEM. The SPSS/PC program (Version 10.0; SPSS, Chicago, IL) was used for the statistical analysis.
5
Chronic Pain Sensory Pathway Analysis
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We used the SPSS-PC program for the data analyses. Chi-square tests, t-tests, and Mann–Whitney U tests were applied to analyze data between groups. As some cells had a low cell count, statistical significance was established by means of Fischer's exact tests (two-tailed). The relationships between chronic pain, the dorsal column-lemniscal pathway, and the spinothalamic tract were analyzed by hierarchical linear regression analyses: one model predicting pain intensity and one predicting pain affect. In the first step, mood was added as a predictor; in the second step, the dorsal column-medial lemniscal pathway; and in the third step, the spinothalamic tract was entered. Adjusted R2 and R2 are reported as measures of model fit and ΔR2 as a measure of the effect of sensory functioning (dorsal column-medial lemniscal pathway and the spinothalamic tract) on pain while controlling for mood. The level of significance was set at p < 0.05.
6
Hormonal Profiling in Buffalo Reproduction
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The data of LFD, serum concentrations of P4, E2, insulin and CLV in both EDP and EDnP buffaloes in all treatment protocols were presented as mean ± SEM. The obtained data were statistically analyzed by the SPSS/PC program (version 16.0; SPSS, Chicago, IL, 2007) using one way ANOVA. Differences were considered as statistically significant at 𝑃𝑃< 0.05. The significant differences among treatment protocols were estimated by multiple Duncan range test (Duncan, 1955) . The data concerning the conception rates were analyzed by the Chi-square test. The correlations were estimated using Spearman's rank correlation coefficient.
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