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Spss 24.0 statistical software for windows

Manufactured by IBM
Sourced in United States

SPSS 24.0 is a statistical software package for Windows that provides a comprehensive set of tools for data analysis, management, and presentation. The software offers a wide range of statistical procedures, including descriptive statistics, bivariate analysis, multivariate analysis, and predictive modeling. SPSS 24.0 is designed to help users analyze data, uncover patterns, and make informed decisions.

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Lab products found in correlation

2 protocols using spss 24.0 statistical software for windows

1

Sample Size Calculation and Statistical Analysis for Rehabilitation Outcomes

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Using G*power software (version 3.1.7), the sample size was calculated, resulting in a minimum of 36 participants for the study. The estimated effect size for the main outcome measures established in this study was 0.30, considering a power of the statistical test of 0.95, an alpha error of 0.05, a correlation between repeated measurements of 0.5 (two groups, three measurements), a sphericity correction coefficient of 1, and a loss rate of 20%.
Statistical analysis was carried out using Statistical Package for the Social Sciences (SPSS) 24.0 statistical software for Windows (SPSS Inc., Chicago, IL, USA; version 24.0). Since the sample followed a normal distribution, repeated measures analysis of variance (ANOVA) was performed for the variables grip strength, BBT, ARAT, and DASH, with time (pre-treatment, post-treatment, follow-up) as an intra-group factor and group (experimental and control) as an inter-group factor, all with Bonferroni post-hoc adjustment. The p-values associated with the ANOVA F-statistics were adjusted using the Greenhouse–Geisser correction. The statistical analysis was performed at a 95% confidence level, so p-values of less than 0.05 were considered significant.
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2

Analysis of DTX3 in Papillary Thyroid Carcinoma

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Each experiment was performed at least three times. Data is provided as mean ± standard deviation. SPSS 24.0 statistical software for Windows (SPSS, Inc., Chicago, IL, USA) was used for analysis. Graphing was performed in GraphPad Prism 7. The T-test was used to assess the results of qRT-PCR and WB expressions of DTX3 in PTC and paired paracancerous normal tissues and applied to calculate correlations between DTX3 expressions and clinicopathologic characteristics of PTC. Multiple group comparison's test, such as ANOVA, was used to compare the differences. When P<0.05, the results were considered statistically significant.
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