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Spss software v 14

Manufactured by IBM
Sourced in United States

SPSS software v.14.0 is a statistical analysis software package developed by IBM. It provides tools for data management, analysis, and visualization. The software is used for a variety of applications, including market research, survey data analysis, and scientific research.

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Lab products found in correlation

8 protocols using spss software v 14

1

Comparative Outcomes of Surgical Interventions

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Primary and secondary outcomes were assessed using Student’s t-test. Questionnaire responses were evaluated with the chi-square test. Analyses were performed with SPSS software V.14.0 (SPSS Inc., Chicago, IL, USA) for Windows. A p-value of less than 0.05 was considered statistically significant. To minimize selection bias from lack of randomization, subgroup analysis by one-to-one propensity matching was performed using R Statistical Software 3.3.3 (The R Foundation for Statistical Computing, Vienna, Austria). The covariates for matching estimation were age, gender, body mass index (BMI), previous abdominal surgery, history of hypertension, diabetes, and hypothyroidism.
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2

Comprehensive Statistical Analysis of Experimental Data

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Data from at least 3 independent experiments are expressed as mean ± standard deviation (SD). Statistical analyses were performed using GraphPad prism 6 software (GraphPad Software, San Diego, CA, U.S.). Data showing comparisons between two groups were assessed using the Student’s t-test. Due to non-Gaussian distribution patterns of the results, non-parametric Kruskal-Wallis ANOVA was used to compare the data of groups. Statistical calculations were executed using SPSS software (v.14.0) (Chicago, IL, U.S.). P<0.05 was considered statistically significant.
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3

Intracellular Ca2+ and cAMP Dynamics

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Statistical analysis was performed with SPSS software v14.0 (SPSS, Inc., Chicago, IL, USA). Values are reported as the mean ± standard error of the mean. A t-test was used to compare differences in intracellular Ca2+ concentrations and cAMP levels. P < 0.05 was considered to indicate statistically significant results.
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4

Statistical Analysis of Experimental Data

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AII results are presented as the mean ± SD. For two‐group comparisons, Student's t test or Mann–Whitney U (nonparametric tests) was used. One‐way anova or Kruskal–Wallis test (nonparametric tests) followed by the Bonferroni test was used for multiple groups. Nonparametric tests were conducted because of the nonnormal distribution and nonhomogeneity of variance. SPSS software v.14.0 (SPSS Inc.) was employed for statistical analysis, and the differences were defined as p < 0.05.
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5

Histological and Behavioral Data Analysis

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The repeated measures two-way analysis of variance followed by Bonferroni’s post hoc analysis was used for all histological and behavioral data. The non-parametric Kruskal-Wallis analysis of variance followed by individual Mann-Whitney U tests was used to analyze all other data. P < 0.05 was considered statistically significant. The data were analyzed using SPSS software v.14.0 (SPSS Inc., Chicago, IL, USA).
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6

Impact of Seat Slope and Height on Musculoskeletal and Comfort Metrics

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Two independent variables were considered in this study. i) the seat slope with two levels: flat seat and 15° forward sloping seat. ii) the seat height with three levels: high, medium and low.
Parameters calculated from the EMG device (normalized EMG of 11 muscles), inertial system (mean angular position of four trackers along the sagittal plane) and numeric comfort scale (score from 1 to 5) provided 16 dependent variables.
A two-way repeated-measures analysis of variance (ANOVA) was conducted for each dependent variable, with seat slope and seat height as within-subjects factors. When statistical significance was reached for the seat height factor, the analysis was completed by within-subjects contrasts to compare levels. The significance level was set at p < 0.05. The analysis was performed using Statistical Package for Social Sciences (SPSS) software V14.0 (Chicago, USA).
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7

Non-parametric Statistical Analysis

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The SPSS software v.14.0 (SPSS Inc., Chicago, IL, USA) was used to statistical analysis. The non-parametric Kruskal Wallis analysis of variance (ANOVA) following by the individual Mann-Whitney U test was used. The P < 0.05 was considered to be statistically significant.
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8

Investigating Significance Levels in Research

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The data were analyzed using SPSS software (v14.0), (SPSS, Chicago, IL, USA). A two-way analysis of variance (ANOVA) followed by a Student–Newman–Keuls post-hoc test was used to determine the level of significance. P<0.05 was considered to be significant and P<0.01 was considered to be highly significant.
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