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Spss 22.0 statistics package

Manufactured by IBM
Sourced in United States

SPSS 22.0 is a data analysis software package developed by IBM. It provides a comprehensive set of tools for statistical analysis, data management, and visualization. The core function of SPSS 22.0 is to enable users to analyze and interpret data, identify patterns, and make informed decisions based on the insights gained from the data.

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Lab products found in correlation

3 protocols using spss 22.0 statistics package

1

TRIM25/miR-3614/IGF2BP3 Expression Analysis

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All experiments were performed in triplicate at a minimum, unless otherwise stated. Data analyses were carried out using the SPSS 22.0 statistics package (IBM, Armonk, NY, USA). Independent sample Student's t-test and ANOVA analysis were used if the quantitative data between groups show normal distribution. If not consistent with the normal distribution, using the Wilcoxon-Mann-Whitney test. The relationship between TRIM25/miR-3614/IGF2BP3 expression level and clinical parameters was calculated by the χ2-test. Data are presented as the mean ± SEM. P values of <0.05 were considered to indicate statistical significance.
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2

Radiological Evaluation of Treatment Efficacy

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All data were recorded as the mean ± standard deviations (SD). Radiological data were analyzed using the paired t-test, with a P-value ≤ 0.05 considered statistically significant. All statistical analyses were performed using SPSS 22.0 statistics package (IBM Corporation, Armonk, NY).
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3

Statistical Analysis of Biochemical Data

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Statistical analyses were performed using an IBM SPSS 22.0 Statistics package program.
The accepted significance level was p < 0.05. The Shapiro-Wilk test was used to determine the normal data distribution. Independent samples t-test was performed for the normally distributed data. At the same time, the Shapiro-Wilk test was also used to investigate the biochemical results' normal distribution. All experimental data were determined to be normal, and parametric tests were performed. The homogeneity of the variances was measured using Levene's test. Accordingly, an independent samples t-test was performed in cases where the variances were homogeneous.
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