Statistics for windows version 25

Manufactured by IBM

Sourced in United States

Statistics for Windows, Version 25.0 is a software product that enables data analysis and statistical computations. It provides a range of statistical functions and tools for users to perform various types of analyses on their data.

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Spss 25 statistical software, by IBM (1 mentions) Matlab r2019, by MathWorks (1 mentions)

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SPSS Statistic for Windows, version 25.0 Statistics 25.0

6 protocols using statistics for windows version 25

Bone Properties and Fall-Related Fractures

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The participants (n = 187) were divided into two groups by whether or not they had broken their bones as a result of a fall, i.e., fracture (F) and nonfracture (NF) groups. Differences in bone properties and physical performance between the F and NF groups were evaluated with analysis of covariance (Ancova). Analyses were adjusted for baseline age, height, and weight as possible confounders.
In addition to the above primary-analysis, the age, height, and weight-adjusted mean differences between F and NF groups were evaluated separately in the baseline exercisers and sedentary control groups.
The participants were also divided into two groups by median of femoral neck BMD. The Cox proportional hazard regression model was used to calculate hazard ratio (HR) for lower vs. higher BMD-groups. Also, this analysis was adjusted for baseline age, height, and weight.
SPSS 25 statistical software (IBM Corp. Released 2017. IBM Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp.) was used for all statistical analyses. P values were 2-sided and those less than 0.05 were considered statistically significant.

Uusi-Rasi K., Karinkanta S., Tokola K., Kannus P, & Sievänen H. (2019). Bone Mass and Strength and Fall-Related Fractures in Older Age. Journal of Osteoporosis, 2019, 5134690.

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Statistical Analysis in Research

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Statistical analysis was performed using IBM Corp. Released 2017, IBM Statistics for Windows, version 25.0, Armonk, NY: IBM Corp. and Matlab R2019 (The MathWorks Inc.).

Diekmann R., Hellmers S., Elgert L., Fudickar S., Heinks A., Lau S., Bauer J.M., Zieschang T, & Hein A. (2020). Minimizing comprehensive geriatric assessment to identify deterioration of physical performance in a healthy community-dwelling older cohort: longitudinal data of the AEQUIPA Versa study. Aging Clinical and Experimental Research, 33(3), 563-572.

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Statistical Analysis of Experimental Outcomes

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Data analysis was carried out using IBM SPSS (Statistical Package for Social Sciences) Statistics for Windows, Version 25.0. Results were expressed as mean ± standard error of mean (mean ± SEM). Statistical significance was determined by one-way ANOVA followed by Tukey post hoc test to compare different parameters among the treatment and control groups. p < 0.05 was considered significant.

Sirak B., Bizuneh G.K., Imming P, & Asres K. (2024). In vitro and in vivo antitrypanosomal activity of the fresh leaves of Ranunculus Multifidus Forsk and its major compound anemonin against Trypanosoma congolense field isolate. BMC Veterinary Research, 20, 32.

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Statistical Analysis of Experimental Data

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The data analysis was carried out using IBM SPSS (Statistical Package for Social Sciences) Statistics for Windows, Version 25.0. The results were expressed as mean ± standard error of mean (M ± SEM). Statistical significance was determined by a one-way ANOVA followed by the Tukey post hoc test to compare different parameters among the treatment and control groups. A result of p < 0.05 was considered significant.

Sirak B., Mann L., Richter A., Asres K, & Imming P. (2021). In Vivo Antimalarial Activity of Leaf Extracts and a Major Compound Isolated from Ranunculus multifidus Forsk. Molecules, 26(20), 6179.

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Statistical Analysis of Research Data

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Statistical analysis was performed using IBM SPSS (Statistical Package for the Social Sciences) Statistics for Windows, version 25.0 (IBM Corp., Armonk, NY, USA). The results were expressed as mean ± SD for continuous variables and as absolute number (percentage) for categorical variables. The comparisons of continuous variables were performed using Student’s t test or the Mann–Whitney U test or using one-way analysis of variance, as appropriate. All p values < 0.05 were considered significant. Figures were plotted using the Prism Graph Pad software version 8.4.1.

André J., Zhukouskaya V.V., Lambert A.S., Salles J.P., Mignot B., Bardet C., Chaussain C., Rothenbuhler A, & Linglart A. (2022). Growth hormone treatment improves final height in children with X-linked hypophosphatemia. Orphanet Journal of Rare Diseases, 17, 444.

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Statistical Analysis of Experimental Outcomes

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Data analysis was carried out in IBM SPSS (Statistical Package for Social Sciences) Statistics for Windows, Version 25.0 (IBM Corp. Released 2017, Armonk, NY) package programme. Group comparisons were performed using one-way analysis of variance method. Normality control was performed by Shapiro-Wilk test that obtained from estimated error. Since there was no problem of adaptation to normal distribution, the study continued with one-way analysis of variance. Variance homogeneities were examined by Levene test; Tukey HSD test was used as a post hoc method, since there was no homogeneity problem. All hypothesis tests were performed at the 0.05 significance level, thus p < 0.05 was considered significant.

Basaloglu H.K., Turgut M., Şirin C., Uyanikgil Y., Demirci B, & Cetin E.O. (2022). The influence of functional pinealectomy and exogenous melatonin application on healing of a burr hole in adult rat calvaria: a histological and immunohistochemical study. Folia morphologica, 81(2).

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