Data were expressed as frequency (percentage), median (interquartile range), or mean±standard-deviation values. Continuous variables were compared using independent-samples t-tests or Mann-Whitney tests, while categorical variables were compared using chi-square tests or Fisher's exact tests, as appropriate. We compared baseline characteristics, time parameters, outcomes, and discharge disposition between before the COVID-19 outbreak (from November 20, 2019 to January 20, 2020) and during the COVID-19 outbreak (from February 19 to April 20, 2020). We also evaluated the number of patients who received reperfusion therapy per month during the 5-month study period. All statistical analyses were performed using the Windows SPSS software (version 23.0, IBM Corporation, Armonk, NY, USA).
Windows spss software
Manufactured by IBM
Sourced in United States
SPSS (Statistical Package for the Social Sciences) is a software package used for statistical analysis. SPSS for Windows is the version of this software designed to run on the Microsoft Windows operating system. The core function of SPSS is to provide advanced statistical analysis capabilities for researchers, analysts, and organizations.
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Lab products found in correlation
4 protocols using windows spss software
1
Impact of COVID-19 on Acute Stroke Care
2
Statistical Analysis of Nominal Data
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The collected data were statistically analyzed using descriptive statistics. IBM Windows SPSS Software (version 27.0.1.0) was used for the analysis. The Chi-square test was used for nominal data. The statistical significance level was set at P<0.05.
3
Evaluating Growth and Bioavailability
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Data on growth performance, haematological, biochemical, serum mineral bioavailability were expressed as means and standard deviations. The SPSS software windows (version, 23.0) were used for this analysis. The obtained data were subjected to one-way analysis of variance (ANOVA), and Tukey's HSD test was used for multiple means comparisons. A p-value of less than 0.05 was considered statistically significant.
4
Statistical Analysis of Normality and Significance
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SPSS software (Windows version 16.0; SPSS Inc., Chicago, IL, USA) was utilized for statistical analysis. We used the Kolmogorov-Smirnov test to estimate whether data were normally distributed. The findings were presented as median (interquartile range [IQR], presented as a range with 25th-75th percentiles) values. A chisquared test or Fisher's exact test was utilized for comparisons. The differences were considered statistically significant for P -values that were < 0.05.
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