Spss statistics v 13

Manufactured by IBM

Sourced in United States

SPSS Statistics v. 13.0 is a software application designed for advanced statistical analysis. It provides a comprehensive set of tools for data management, analysis, and reporting. The software offers a wide range of statistical techniques, including regression, multivariate analysis, and data mining, to help users gain insights from their data.

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SPSS Statistics (9452 citations) SPSS 13.0 (432 citations) SPSS Statistics 13.0 (38 citations) SPSSTM (8 citations) SPSS vs. (2 citations)

2 protocols using spss statistics v 13

Comparative Statistical Analysis of Experimental Data

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All data are expressed as means ± S.D. and were analyzed using SPSS Statistics v. 13.0 software (SPSS Inc. Chicago, IL, United States). One-way analysis of variance (ANOVA) was used to compare measurement data among groups. Mean values were compared using an F test when variance was homogeneous. Differences between two groups were compared using the Bonferroni test. Welch’s test and Dunnett’s T3 analysis were adopted when variance was nonhomogeneous. Values of p < 0.05 were considered statistically significant. Each experiment was repeated three or more times.

Wu Y.T., Xie L.P., Hua Y., Xu H.L., Chen G.H., Han X., Tan Z.B., Fan H.J., Chen H.M., Li J., Liu B, & Zhou Y.C. (2021). Tanshinone I Inhibits Oxidative Stress–Induced Cardiomyocyte Injury by Modulating Nrf2 Signaling. Frontiers in Pharmacology, 12, 644116.

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Statistical Analysis of Biological Replicates

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Statistical analysis was conducted using SPSS Statistics v. 13.0 software (SPSS Inc., Chicago, IL, USA). All treatments were performed using three biological replicates. Data are expressed as the mean ± standard deviation (SD). Differences between treatments were determined using one-way ANOVA and Tukey’s honest significant difference test. A p-value < 0.05 was considered to be statistically significant.

Chen T., Zhang Z., Li W., Chen J., Chen X., Wang B., Ma J., Dai Y., Ding H., Wang W, & Long Y. (2022). Biocontrol potential of Bacillus subtilis CTXW 7-6-2 against kiwifruit soft rot pathogens revealed by whole-genome sequencing and biochemical characterisation. Frontiers in Microbiology, 13, 1069109.

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