SPSS v. 18.0 statistical software (SPSS Inc., Chicago, IL, USA), run on the Apple macOS Sierra operating system, was used for to data processing and analysis. All data were expressed as the means ± SD. Statistical analysis was performed by analysis of variance, Student’s t-test. Values of p < 0.05 were considered statistically significant.
Spss v 18.0 statistical software
Manufactured by IBM
Sourced in United States
SPSS v. 18.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data management, statistical modeling, and reporting. The software is designed to help users analyze and interpret data from various sources, such as surveys, experiments, and observational studies.
Automatically generated - may contain errors
Lab products found in correlation
5 protocols using spss v 18.0 statistical software
1
Statistical Analysis of Research Data
2
Statistical Analysis of Sample Variability
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
SPSS v18.0 statistical software (SPSS Inc., Chicago, IL, USA) was used for statistical analyses. Sample variability of each index was expressed as the standard error (SE). All data are expressed as mean ± SE (n = 3, P < 0.05). All data sets were checked for normality and heteroscedasticity using Levene’s test. Thereafter, one-way analysis of variance and Duncan’s test were applied to estimate the significance of the effects among the various treatments. Differences were considered significant at P < 0.05.
3
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Experimental data are expressed as the mean ± standard deviation of at least three independent experiments. Statistical analyses were performed using SPSS v18.0 statistical software (SPSS, Inc.). Paired or unpaired Student's t-test were used to compare the significance between two paired groups and two independent groups respectively, and a one-way ANOVA followed by a post-hos Tukey's test was used to determine the significance between three or more independent groups. P<0.05 was considered to indicate a statistically significant difference.
4
Triatomine Infestation Assessment Protocol
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
To estimate the risk of infection, the following entomological indices were determined in the municipalities of group one: the infestation index (number of houses infested by triatomines / number of houses examined x 100); the colonization index (houses with triatomine nymphs/number of houses positive for triatomine × 100), the density index (number of triatomines captured / number of houses examined); the crowding index (number of triatomines captured / number of houses with triatomines) and natural infection index (number of infected pools/ total number of analyzed pools x 100) according to WHO (2010) [32 ]. Proportional comparisons were performed using the Chi-square test (χ2) with a P < 0.05considered as significant. Data analyses were performed using SPSS v.18.0 statistical software.
5
Statistical Analysis of Research Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The SPSS v. 18.0 statistical software (SPSS Inc., Chicago, USA) was used to process and analyze the data, and the measurement data were described as mean ± standard deviation (SD). Univariate analysis of variance (ANOVA) was used for multi-group comparison; we also conducted correlation analysis. Comparison between 2 groups was performed using Student's t-test and χ 2 tests were conducted for rates. A value of p < 0.05 was considered statistically significant.
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!