Statistical analyses were performed using 17.0 SPSS software (Chicago, USA). Differences among groups were evaluated using repeated measures analysis of variance (anova ). A two‐tailed t‐test was used when two groups were compared for statistical significance. All data were expressed as mean ± SEM. p < 0.05 considered to be statistically significant (*p < 0.05, **p < 0.01, ***p < 0.001).
17.0 spss software
Manufactured by IBM
Sourced in United States
SPSS 17.0 is a statistical software package developed by IBM for data analysis, visualization, and reporting. It provides a range of tools for working with various data types, including numeric, categorical, and text data. The software offers a user-friendly interface and supports a variety of statistical techniques, such as regression analysis, factor analysis, and time series analysis.
Automatically generated - may contain errors
Lab products found in correlation
9 protocols using 17.0 spss software
1
Statistical Analysis of Experimental Groups
2
Statistical Analysis of Continuous and Categorical Variables
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The statistical analyses were performed using 17.0 SPSS software (Chicago, IL). The continuous variables are expressed as the mean ± standard deviation (SD) and were analyzed by a t test and a 1-way analysis of variance. The categorical variables are represented as percentages. P values of less than .05 were considered statistically significant.
3
Statistical Analysis of Experimental Data
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The data were analyzed using 17.0 SPSS software (SPSS Inc., Chicago, IL, USA), and Duncan’s test was carried out to verify the statistical significance; the values were considered statistically significant at p < 0.05, and the results are presented as the mean ± SE.
4
Neuroprotective Effects of Compound X
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Each experiment was performed independently at least three times, and the data are presented as mean ± SEM for the indicated number of separate experiments; 17.0 SPSS software (SPSS Inc., Chicago, IL, USA) was applied to analyze data, and one-way ANOVA was used to compare the mean differences among the groups. p-values < 0.05 were considered significant (#p < 0.05 compared with the control group; * p < 0.05 and ** p < 0.01 compared with the MPTP group).
5
Statistical Analysis of Experimental Data
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Each experimental result was repeated in triplicate and data were expressed as mean ± SD. Data were processed using 17.0 SPSS software (SPSS Inc., Chicago, IL, USA). Statistical significance was analyzed using One-Way ANOVA analysis and LSD test. A difference was considered significant when * p < 0.05, ** p < 0.01, and *** p < 0.001.
6
Triplicate Statistical Analysis Protocol
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Each experimental result was repeated in triplicate and data are expressed as the mean ± SD. Data were processed using 17.0 SPSS software (SPSS Inc., Chicago, USA). Statistical significance was analyzed using one-way ANOVA analysis and LSD test. * p < 0.05 was considered to be statistically significant.
7
Experimental Replication and Statistical Analysis
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All experimental procedures were replicated three times (in vitro) and six times (in vivo). The results were displayed as the mean ± standard deviation. Data analysis was executed using 17.0 SPSS software (SPSS, Chicago, IL, USA). Multiple groups were compared using a one-way analysis of variance (ANOVA), while the Student's t-test was employed for comparisons between two groups. A P-value of <0.05 was considered to be statistically significant.
8
Comparative Analysis of Neuronal Signaling
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All data are presented as the mean ± standard deviation. Data were processed using 17.0 SPSS software (SPSS Inc., Chicago, IL, United States ). Statistical comparisons were analyzed using one-way analysis of variance (ANOVA). p values of less than 0.05 were considered to be statistically significant. *p < 0.05, **p < 0.01, and ***p < 0.001.
9
Comparative Imaging Quality Evaluation
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The 17.0 SPSS software was used for statistical analysis. The Mann-Whitney U test was used to compare subjective image quality. Objective parameters and radiation dose were compared by the T test. Diagnostic accuracy was compared by the chi-square test. A P value lower than 0.05 was considered statistically significant.
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