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Spss windows

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SPSS Windows is a software package used for statistical analysis. It provides a range of data management and statistical analysis capabilities, enabling users to perform various data analysis tasks.

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23 protocols using spss windows

1

Genetic Identification of Catharanthus roseus Cultivars

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In this study, RAPD and ISSR assays were used for the identification of markers associated with the ten cultivars of C. roseus plants taxa genotypes according to Williams et al. (1990) .
The RAPD and ISSR analysis using polymerase chain reaction (PCR) were performed using DreamTaq TM Green PCR Master Mix (2X) Thermofisher catalog number: #K1081, 1.5 μM of primer in (RAPD analysis and ISSR analysis) from (Operon Technology USA) their codes, sequences and GC % are shown in Table 1 and Gel and data analysis Gels were photographed and scanned at a wavelength of 577 nm. The similarity matrices were conducted, and the relationships among rootstock genotypes as revealed by dendrograms were performed using the SPSS windows (Version 22) program. The Principle Component Analysis (PCA) was performed to determine eigenvalues, percentage and cumulative variance. The PCA was performed using the SPSS windows (Version 22) program.
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2

Ondansetron Reduces Postspinal Shivering

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The sample size was calculated based on the results of the previous study which showed that ondansetron can reduce the incidence of postspinal shivering to 8% compared to the control group.[7 (link)] A sample size was calculated based on these findings, with a value of α = 0.05 and power (1-β) of 0.80. It was calculated that 36 patients were required per group. We included forty patients in each group (total of 120 patients) for better validation of results and any other causes for attrition.
Data values are presented as mean (standard deviation), median (range), or number (percentage). Parametric data were analyzed using one-way ANOVA and the Student's paired t-test where appropriate. Nonparametric data were analyzed using the Kruskal–Wallis and the Chi-square test. A value of P < 0.05 was considered statistically significant. Statistical analysis was performed using the SPSS windows version 19 (Statistical Package for the Social Sciences (SPSS) windows version 19 by IBM Corporation).
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3

Factors Associated with Induction of Labor

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The collected data were checked, coded, and entered into Epi-info version 7.2
(USA, 2020). Then, they were exported to SPSS windows version 24 (IBM SPSS
Statistics, 2016) for further analysis. Descriptive statistics were carried out
using simple frequency tables, proportions, and summary measures. A bivariable
logistic regression analysis was conducted to identify the association between
each independent variable and the outcome variable. All variables having a
p value of ⩽0.25 in the bivariable analysis were included
in the final model of multivariable analysis to control for potential
confounders. Multicollinearity was checked using variance inflation factor (VIF)
and tolerance and no collinearity effect was detected. Hosmer–Lemeshow goodness
of fitness test was used to check for model fitness and the result was found to
be insignificant (p = 0.677) which indicates the
model was well fitted. In the final model of multivariable logistic regression
analysis, the adjusted odds ratios (AORs) with 95% CI were computed to identify
the effects of independent variables on the outcome of IOL. The level of
statistical significance was declared at a pvalue < 0.05.
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4

Nuclear Features Predict Tumor Diagnosis

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The frequencies of females by tumor diagnosis were compared by the chi-square test. The patients’ ages, greater tumor diameter and nuclear parameters were expressed as medians and quartiles (p25–p75) and compared by the Kruskal–Wallis test. Based on the study nuclear features, the tumors were reclassified by the CRT method and twoing algorithm (impurity measure). This statistical method constructs a tree model, with predictive character of the data, that starts from a root and branches out, from nodes that use cut-offs for the parameters analyzed, provided by the model itself (17 (link)). The sensitivity, specificity and area under the receiver operator characteristic (ROC) curve (AUC) were calculated for each tumor to determine the validity of the classification method. The various nuclear morphometric and texture parameters were also correlated with greater tumor diameter using Spearman’s rho coefficient. The software IBM SPSS/Windows (version 22) performed all statistical analyses using a significance level of 5%.
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5

Vitamin D and Gender Analysis

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Analysis of the collected Data was done using "version 22" SPSS -Windows (IBM, Corp., Chicago, IL, USA)., Comparing the frequency regarding gender was done by using Chi square test. Comparing between the three groups regarding age and Vitamin D levels was done by One-way ANOVA test. Post hoc Tukey test made the pairwise comparisons. The pvalue < 0.05 was deliberated as statistically significant. The expression of mRNA was calculated based on ∆∆CT method, and fold change was evaluated by 2 -∆∆CT for each gene.
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6

Student's t-test Statistical Analysis

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Statistical analysis was performed using SPSS (Windows version 10.0.1; SPSS Inc., Chicago, IL, USA) using a one-way Student's t-test; P < 0.05 was considered as statistically significant, when comparing with relevant controls. All results refer to mean ± standard deviation.
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7

Preoperative Cytological Diagnosis Analysis

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Data were entered into an Excel® (Microsoft Corporation, USA) spreadsheet and submitted to statistical analysis using SPSS/Windows® (version 21) and SAS® (version 9.4). Studied variables were described as means and standard deviations, and that analysis between groups and variables was by using ANOVA, followed by the Tukey test for multiple comparisons in numeric variables with normal distribution. Numbers with asymmetric distribution were adjusted by a generalised linear model with gamma distribution. For categorical variables, the Chi squared or Exact Fisher tests were applied, when necessary, the test of proportions was performed when statistical differences were found between groups. Disease-free survival was analysed using Kaplan-Meier curves, in function of preoperative cytological diagnosis. Values of p < 0.05 were considered as significant.
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8

Comparative Statistical Analysis of Experimental Data

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Parametric data are expressed as mean value ± standard deviation (SD) and categorical variables as percentages. The Chi-square test was used for the comparison of dichotomous variables and the Student's t-test for continuous variables. One-way ANOVA was used to test differences on multiple levels by a single factor (independent) variable. P < 0.05 was considered statistically significant. All statistical analysis was performed using SPSS Windows (SPSS version 17.0.2009).
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9

One-way ANOVA and Tukey's Test

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Statistical analyses were carried out using SPSS/Windows software (SPSS Science, Chicago, IL, USA). The statistical significance was evaluated by one-way ANOVA and post hoc Tukey’s test, p < 0.05 indicate significant differences.
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10

Multiplex PCR for Mycoplasma Detection

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The non-parametric statistical analysis of chi-square was applied with 95% confidence (ρ = 0.005), with Statistical Package for the Social Sciences (SPSS), Windows, version 20.0. The accuracy measures for the multiplex PCR and Mycoplasma isolation were calculated, and the agreement measures between the multiplex PCR and isolation results were estimated by the Cohen’s kappa statistic (Cohen, 1960 (link)).
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