Spss 22.0 analysis

Manufactured by IBM

Sourced in United States

SPSS 22.0 is a statistical analysis software that enables data management, analysis, and visualization. It provides a range of statistical techniques for data exploration, modeling, and reporting. The software is designed to help users gain insights from their data.

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SPSS 22.0 analysis software SPSS 22.0 statistical analysis software SPSS 22.0 statistical analysis SPSS 22.0 IBM SPSS 22.0 SPSSTM

4 protocols using spss 22.0 analysis

Statistical Analysis of Experimental Data

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Experimental data were analysed using SPSS 22.0 analysis software. Measurement data were represented as mean ± standard deviation; comparison between two groups was performed with a Student’s t-test. Count data were analysed by employing a Chi-square test. Results were considered statistically significant at P<0.05.

Deng S., Liu M., Xiao T, & Gao J. (2020). Expression of neuro-oncological ventral antigen-1 in small-cell lung cancer and its value in pathological diagnosis. Translational Cancer Research, 9(2), 1144-1150.

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Statistical Analysis of Quantitative Data

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The SPSS22.0 analysis software was adopted for statistical processing. The quantitative data were expressed as mean ± standard deviation (), intergroup data conforming to normal distribution were analyzed using independent sample t test, while those not conforming to normal distribution were analyzed by rank sum test. Intragroup data were compared through paired t test. A difference of P < .05 was deemed as statistically significant.

Zhang Z., Lu X., Dong L., Ma J, & Fan X. (2019). Clinical observation on the effect of Wuzhi soft capsule on FK506 concentration in membranous nephropathy patients. Medicine, 98(48), e18150.

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Statistical Analysis of Experimental Replicates

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The experiments were done as a minimum of three independent replicates and presented as the mean ± standard deviation (SD). Differences between groups were analyzed by Student's t test and Wilcoxon analysis with 95% confidence interval using SPSS 22.0 analysis software (SPSS, Inc., Armonk, NY, USA). P < 0.05 was considered to indicate a statistically significant difference (*P < 0.05; ** P < 0.01).

Babaye Abdollahi B., Ghorbani M., Hamishehkar H., Malekzadeh R, & Farajollahi A. (2022). Synthesis and characterization of actively HER-2 Targeted Fe3O4@Au nanoparticles for molecular radiosensitization of breast cancer. BioImpacts : BI, 13(1), 17-29.

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Correlation Analysis of Chromatographic and Anti-Inflammatory Data

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Pearson correlation analysis is a method of parameter, which is widely used to measure the linear relationship between variables. In this study, the chromatographic data and anti-inflammatory efficacy data of six extracts were imported into the SPSS 22.0 analysis software, and then their correlations were analyzed by this method. In addition, the correlation of scatter plot based on the data obtained from the peak area of the chromatogram peak and the efficacy was made for the significantly correlated chromatographic peaks that have been screened out.

Li Y., Yang Y., Kang X., Li X., Wu Y., Xiao J., Ye Y., Yang J., Yang Y, & Liu H. (2022). Study on The Anti-Inflammatory Effects of Callicarpa nudiflora Based on The Spectrum–Effect Relationship. Frontiers in Pharmacology, 12, 806808.

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