A priori power analysis was conducted prior to initiation of study and indicated a sample size of 84–105 patients was required to detect a difference in rates of invasive ventilation for a moderate effect size with power of 0.80 based on previous studies.16 All analyses were performed with IBM SPSS Basic Statistics for Windows, version 20.0 (IBM Armonk, New York). Descriptive statistics were examined and reported for continuous data as medians and interquartile ranges (IQR); categorical data were reported as counts and percentages. Statistical tests were two‐tailed and based on a 0.05 significance level. Because data were not normally distributed and sample sizes were unequal, differences between medians were assessed using the Kruskal–Wallis one‐way analysis of variance. Differences between nominal variables were assessed using the chi‐square testing. Correlations were assessed using Pearson coefficient (r). Mean pH values were normally distributed, and Student's t test was used to assess for statistical significance.
Spss basic statistics for windows version 20
Manufactured by IBM
Sourced in United States
SPSS Basic Statistics for Windows, version 20.0 is a statistical software package that provides a range of basic statistical analysis tools for data processing and analysis. The software allows users to perform common statistical tests and procedures, such as descriptive statistics, correlations, and hypothesis testing. The software is designed to be user-friendly and accessible for users with varying levels of statistical expertise.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using spss basic statistics for windows version 20
1
Ventilator Requirement in COVID-19
2
Statistical Analysis of Research Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Analyses were performed with IBM SPSS Basic Statistics for Windows, version 20.0 (IBM Corp, Armonk, New York, 2011). Categorical data are reported as counts and percentages. Distributions of continuous data were examined using the Komogorov–Smirnov test; because some variables were not normally distributed, all continuous data are reported as medians and interquartile ranges (IQR). Correlations were computed as Spearman rho (rs) or Biserial (rb) coefficients. All statistical tests were two-tailed and based on a 0.05 significance level.
3
Analysis of Non-Normally Distributed Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All analyses were performed with IBM SPSS Basic Statistics for Windows, version 20.0 (IBM Armonk, New York). Descriptive statistics were examined and reported for continuous data as medians and interquartile ranges; categorical data were reported as counts and percentages. Statistical tests were 2-tailed and based on a 0.05 significance level. Because data were not normally distributed and sample sizes were unequal, differences between medians were assessed using the Kruskal-Wallis one-way anal-ysis of variance. Differences between nominal variables were assessed using the chi-square test.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!