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Spss windows v25

Manufactured by IBM
Sourced in United States

SPSS (Windows V25) is a software application used for statistical analysis. It provides a wide range of data management and analysis capabilities, including data manipulation, visualization, and modeling. The software is designed to help users analyze and interpret data efficiently.

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Lab products found in correlation

4 protocols using spss windows v25

1

Data Analysis of Small Sample Size

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SPSS windows v.25 was used for data analysis (Chicago, IL, USA). To determine normality, we used the Shapiro–Wilkins test due to the small sample size. Continuous variables following normal distribution were represented as mean ± standard deviation and median ± interquartile range for non-normally distributed variables. Categorical variables were expressed in number and percentage. For continuous variables, an independent sample t-test and a Mann-Whitney U test were used. A p value of < 0.05 was considered statistically significant.
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2

Triplicate Experiment Analysis

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The experiments were carried out in triplicate (n = 3) and results were presented as mean ± SD. Analysis of data was achieved by utilizing SPSS (Windows V25) and statistically significant difference between test groups was established at p < 0.05 using a one-way analysis of variance (ANOVA), followed by the use of Dunnett and Tukey’s HSD multiple range Post-hoc tests for comparison of experimental mean values.
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3

Optimization of Cell Viability Assay

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Results are presented as mean ± SD of triplicate (n = 3) experiments. Data analysis was achieved by using SPSS (Windows V25) and statistically significant differences (p < 0.05) between the test groups were determined using a one-way analysis of variance and followed by the comparison of mean values with Tukey's HSD multiple range test.
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4

Comparative Analysis of Experimental Groups

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Data were presented as mean ± SD, and experiments were carried out in triplicates (n = 3). Data analysis was completed using SPSS (Windows V25). Statistically significant differences (p < 0.05) between test groups were established using a one-way analysis of variance and followed by the comparison of mean values with Tukey’s HSD multiple range test.
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