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Sigmastat version 3

Manufactured by IBM
Sourced in United States

SigmaStat Version 3.1 is a statistical analysis software package developed by IBM. It is designed to perform a variety of statistical tests and analyses on data. The software provides tools for data management, hypothesis testing, and regression analysis.

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Lab products found in correlation

20 protocols using sigmastat version 3

1

Statistical Analysis of Experimental Data

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Data are expressed as mean values ± S.D. Statistical analysis was performed with one- way ANOVA, followed by the Bonferroni post hoc test using SigmaStat Version 3.1 software (SPSS, Chicago, IL, USA), and p < 0.05 was considered statistically significant.
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2

Statistical Analysis of Experimental Data

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All experiments were performed and repeated in the identical RFP, the results were analyzed by one-way analysis of variance (ANOVA). Post-hoc analyses were made by Tukey’s multiple comparison or Student’s t test to estimate the differences between the control and treatments. Differences were considered significant at p < 0.05. All statistics were performed with SigmaStat (version 3.1) software (SPSS).
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3

Statistical Analysis of Experimental Data

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The SigmaStat version 3.1 software (SPSS, Inc., Richmond, CA, USA) was used to perform One Way Analysis of Variance (ANOVA) or Student's t-test for pair-wise comparisons of groups. Non-parametric data were analyzed using Kruskal-Wallis One Way Analysis of Variance on Ranks or Mann-Whitney U test as advised by the program. P = 0.05 or lower was considered to represent statistically significant differences. Data in the text and graphs are presented as mean values ± standard error of the mean (SEM).
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4

Evaluating Immune and Behavioral Responses

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Data are reported as means ± standard deviation. All results were analyzed using Sigma-Stat version 3.1 (SPSS Inc., Chicago, IL). Two-way repeated-measures analysis of variance (ANOVA; two-factor repletion) with pairwise multiple-comparisons (Holm-Sidak method) was used to analyze the results of the behavioral experiment. Two-way ANOVA and Bonferroni t-tests were performed to evaluate differences in NK cytotoxicity. One-way ANOVA and multiple comparison tests (Bonferroni t-tests) were used to evaluate differences in the splenocyte proliferative response of the different groups. The Kruskal–Wallis one-way ANOVA by ranks test was applied to compare the serum PGB concentrations at different time points. A value of P < 0.05 was taken to indicate statistical significance.
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5

Enamel Bond Strength of Universal Adhesives

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The Kolmogorov-Smirnov test was used to assess the distribution of the data, and the Brown-Forsythe test was used to assess the homogeneity of variance. A two-way analysis of variance (ANOVA) was used to test for differences between the groups, and Tukey's honestly significant difference (HSD) test was used to compare the influence of acid erosion on the enamel bond strengths of the universal adhesives (α=0.05). The ultrasonic velocities were analyzed using two-way repeated measure ANOVA followed by Tukey's HSD test (α=0.05). All statistical analyses were performed using a statistical software (Sigma Stat version 3.1; SPSS, Chicago, IL, USA).
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6

Surface Treatment and Adhesive Evaluation

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Results were analyzed using a commercial statistical software package (SigmaStat Version 3.1, SPSS, Chicago, IL, USA). Since the data was normally distributed (Kolmogorov-Smirnov test), two-way analysis of variance (ANOVA) was used to analyze the surface treatment and the adhesive systems that were used. Multiple comparisons were then conducted using the Tukey-Kramer test, with a significance level of 0.05.
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7

Dentin Bond Strength Analysis

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The dentin bond strength data obtained were analyzed using a commercial statistical software package (SigmaStat Version 3.1, SPSS, Chicago, IL, USA). Because the data were normally distributed (Kolmogorov-Smirnov test), two-way analysis of variance (ANOVA) was used to analyze the effects of light intensities and the adhesive systems that were used. Multiple comparisons were then conducted using the Tukey-Kramer test, with a significance level of 0.05.
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8

Statistical Analysis of Neuronal Networks

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All statistical tests were done with SigmaStat version 3.5 (SPSS Inc., Chicago, IL, USA). After initial tests for data normality (Kolmogorov-Smirnov-test) and Equal Variance, parametric or non-parametric statistical methods were executed. For comparison of multiple ages or culturing conditions, we used one-way analysis of variance (ANOVA), followed by the Holm-Sidak method for pairwise multiple comparisons, or Kruskal-Wallis one-way ANOVA on ranks (KW-ANOVA), followed by the Dunn’s method for pairwise multiple comparisons. To test for differences between network types, independent of age or density variations, we also used Two-way ANOVA, for factors of age or density and network type. Differences between experimental sets were also tested with t-test or Mann-Whitney rank sum test (MW-RST). The proportions of BrdU labeled IN and PN neurons in different conditions were compared with the chi-square-test. A P-value of ≤ 0.05 was considered statistically significant. Asterisks in all graphs show the level of statistical significance (*P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001).
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9

Hemodynamic Responses to Glutamate Stimulation

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Baseline hemodynamic variables and body weights were analyzed using Student's t-test (SigmaStat Version 3.5, SPSS Inc., Chicago, IL). Glutamate induced changes in MAP, LSNA, and SSNA were analyzed using a two-way analysis of variance (ANOVA). When ANOVA indicated a significant interaction, differences between individual means were assessed by post-hoc Holm-Sidak test (SigmaStat). The between subjects factor of sedentary vs. active groups was grouped with n = 7 animals in each; whereas, the within subjects factors of location of injections was grouped within each animal. The injections were compared rostrocaudally at three different levels (L1, L2, and L3). At each level, the injections were collapsed at rostral, central and caudal regions during the analysis. In five of seven sedentary animals and in four of seven physically active animals we were able to complete 27 injections (9 injections at each level). Due to the presence of blood vessels on the dorsal surface of the medulla we performed 18 and 21 injections in the two remaining animals in the sedentary group and 15, 15, and 21 injections in the three remaining animals in the physically active group. For all analyses, a probability of p < 0.05 was considered statistically significant. Data are expressed as mean ± SEM.
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10

Statistical Analysis of Experimental Data

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Numeric data are presented as mean ± Standard Deviation (SD) and were compared between experimental groups by t test (for two groups) or one-way analysis of variance, followed by Tukey post hoc test (for three or greater groups), using SigmaStat version 3.5 software (SPSS Inc., Chicago, IL). A P value ≤0.05 was considered to be statistically significant.
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