The largest database of trusted experimental protocols

Spss statistics for windows statistical package version 24

Manufactured by IBM
Sourced in United States

SPSS Statistics for Windows is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including descriptive statistics, regression analysis, and hypothesis testing. The software is designed to help users analyze and interpret data from a variety of sources, including surveys, experiments, and observational studies.

Automatically generated - may contain errors

Lab products found in correlation

2 protocols using spss statistics for windows statistical package version 24

1

Statistical Analysis of Research Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analyses were carried out using the IBM SPSS-Statistics for Windows statistical package version 24 (SPSS Inc. Chicago, IL). For comparisions of information between the two study sites, non-parametric tests were performed for interval data with non-normal distributions; Kruskal Wallis or Mann–Whitney U-test when unequal or equal variance, respectively. For categorical data, the Mann–Whitney U-test was used. The level of significance was set at p < 0.05.
+ Open protocol
+ Expand
2

Persistent Organic Pollutant Exposure Assessment

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analyses were carried out using the IBM SPSS Statistics for Windows statistical package version 24 (SPSS Inc. Chicago, IL, USA). Descriptive details are reported as means, standard deviations, median and range or percentage, and relationships between variables were explored using Spearman's rank correlation analysis. Concentrations below the LOD were replaced by LOD/2. Our choice to limit the between-group statistical analyses to compounds with a prevalence > 60% is recommended by the US CDC. 17 Despite log 10 transformation, the OC distributions remained skewed positively to the right and were not normally distributed according to the Kolmogorov-Smirnov test and Q-Q residual plots. We therefore employed non-parametric statistics (the Mann-Whitney U test) for comparisons of OC concentrations between the two study sites. For related compounds, Levene's test demonstrated equal variances between the two study sites. In a univariate general linear model (UGML) adjusted for the continuous variables age and parity (excluding stillbirths), acceptable case-wise diagnostics were possible even though abruptions of normality were Finally, the ratios within the DDT group were calculated to distinguish ongoing chronic exposure versus dietary exposure or distant past exposure. 3, 18 3. Results
+ Open protocol
+ Expand

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

Sign up now

Revolutionizing how scientists
search and build protocols!