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Spss 10.0 statistical software

Manufactured by IBM
Sourced in United States

SPSS 10.0 is a statistical software package designed for data analysis. It provides a wide range of statistical techniques, including descriptive statistics, bivariate analysis, and multivariate analysis. The software is primarily used for handling, analyzing, and interpreting data.

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Lab products found in correlation

40 protocols using spss 10.0 statistical software

1

Statistical Analysis of Experimental Data

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The data were expressed as mean ± standard deviation and analyzed using SPSS 10.0 statistical software (SPSS Inc., Chicago, IL, USA). One-way and two-way analysis of variance (ANOVA) tests were used to determine the significance of the differences among groups (P < 0.05, P < 0.01, and P < 0.001).
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2

Categorical Variables and Weight Status

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Associations between categorical variables were tested by χ2 test. We used binary logistic regression to evaluate association between weight status and perception of physical activity. Dependent variables were perception of physical activity. Weight status was the independent variable in univariate analysis, and then we adjusted with age and sex. All data analyses were conducted using SPSS 10.0 statistical software. All statistical tests were 2-tailed, and P values <.05 were considered statistically significant.
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3

Statistical Analysis of Experimental Data

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All data were expressed as the mean±standard error of measurement (S.E.M.). Student's t-test was used for statistical analyses of the data. All statistical analyses were conducted using SPSS 10.0 statistical software (SPSS). p-values less than 0.05 were considered to be statistically significant.
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4

Comparative Analysis of Key Components

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All data were presented as mean ± standard deviation (SD). The experimental design for all tested groups was done in such a way that first, an overall comparison between components was needed followed by comparisons between pairs of components. Thus, the differences between different groups was assessed using one-way analysis of variance (ANOVA) followed by post-hoc Bonferroni correction for multiple comparisons in order to identify the pairs that make the difference. To test the hierarchy between average values between groups, one tail t-tests were used. The level of significance alpha was set to 5%, so a p-value of less than 0.05 was considered statistically significant. All statistical analyses were performed using SPSS 10.0 statistical software (SPSS Inc., Chicago, IL, USA).
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5

One-way ANOVA Statistical Analysis

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All data were presented as mean ± standard deviation (SD). The significance between the different groups was analyzed by one-way ANOVA. SPSS 10.0 statistical software (SPSS Inc., Chicago, IL, USA) was used for all statistical analyses. A p-value < 0.05 was considered statistically significant.
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6

Joint Biotransformation Reaction Analysis

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Each joint biotransformation reaction was carried out in triplicate. Data were expressed as the mean ± SD. The data were subjected to one-way ANOVA or t-tests using SPSS 10.0 statistical software (SPSS, Chicago, IL, USA). p Values of <0.05 were considered statistically significant.
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7

Comparative Analysis of Cellular Responses

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Data are presented as mean ± standard error of mean (SEM) of three independent experiments. Data were analyzed using analysis of variance (ANOVA) followed by post hoc analysis using the Tukey range test (SPSS 10.0 statistical software, SPSS Inc., Chicago, IL, USA). An unpaired 2-tailed t-test was used for analysis of the 2 groups. p < 0.05 was considered to indicate a statistically significant difference between values.
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8

Statistical Analysis of Experimental Data

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Data are reported as means±SD from three independent experiments and were evaluated
by one-way analysis of variance followed by the Tukey multiple comparison test. A
difference was defined as significant at P<0.05. All analyses were carried out
using the SPSS 10.0 statistical software (SPSS, USA).
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9

Statistical Analysis of Experimental Data

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Data were expressed as the mean ± standard deviation values and analyzed using SPSS 10.0 statistical software (SPSS Inc., Chicago, IL, United States). The one-way and two-way ANOVA tests were used to determine the significance of differences among groups (P < 0.05, P < 0.01, P < 0.001).
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10

Statistical Analysis of Experimental Data

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Data are expressed as mean ± SD. Student’s t test was used for statistical analyses of the data. All statistical analyses were conducted using SPSS 10.0 statistical software (SPSS, Chicago, IL). Cases in which p values of <0.05 were considered statistically significant [42 (link)].
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