We examined predictions of subpopulation decline by plotting subpopulation size in forest stands >140 years against rate of increase of each subpopulation. We determined goodness-of-fit of curves from regression analysis (Zar 1999). Statistical analyses were performed using Systat 10.2 (SYSTAT Software Inc. 2002). Results are considered significant when a<0.05. Means are reported ±1SE of the mean unless otherwise noted.
Systat 10
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Sourced in United States
Systat 10.2 is a comprehensive statistical software package designed for data analysis and visualization. It provides a wide range of statistical tools and techniques for researchers, analysts, and scientists. The software supports various data formats and offers features for data manipulation, model building, and result interpretation.
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Lab products found in correlation
29 protocols using systat 10
1
Predicting Subpopulation Decline in Old-Growth Forests
2
Trigeminal Neuralgia Electrophysiology Analysis
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Statistics for all data were performed using the software package Systat 10.2 (Systat Software Inc., San Jose, CA). The measurement data were expressed as mean ± standard deviation (x ± SD). Differences of data inside the group were compared with paired t-test. Two independent sample t-test was used to compare the data with normal distribution between the two groups. In addition, the Wilcoxon rank-sum test was used to compare the data without normal distribution between the two groups. The receiver operating charac-teristic (ROC) curve analyzed the diagnostic value of electrophysiology in trigeminal neuralgia by the receiver operating characteristic (ROC) curve. P < 0.05 was considered to be statistically significant.
3
Quantitative Protein Analysis Protocol
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All morphology and protein quantification datasets were analyzed statistically using the Mann–Whitney U test and Bonferroni multiple-comparison correction with Systat 10.2 (Systat Software, Point Richmond, CA). The minimum level of significance was p <0 .05. Data are expressed as means ± SEM.
4
Characterizing Glomerular Odor Responses
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We evaluated the concentration-response profiles of all glomeruli. We submitted the trial-averaged response magnitudes of all glomeruli to cluster analysis, for each odor separately (linkage: average, distance: Pearson; “matrix”; Systat 10.2, Systat Software, Inc., San Jose, CA, USA). Figures S1–S5 show the results, including response heat maps across increasing retronasal odor concentrations. By visual inspection of the heat maps we identified clusters that did (“linear”) and did not (“tuned”) show increasing concentration-response functions, the former peaking at 10% v.p., the latter below 10% v.p. Figure S6 shows all responses across all odors and concentrations, clustered by Euclidian distance (single linkage) across both glomeruli and stimuli. Figure 2B shows the response profiles for the clusters, averaged across the glomerular members.
5
Reproductive Trait Analysis: Probit and GLM
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For non-parametric data (reproductive state, the onset of egg-laying, the signs of resorption, the degrees of ovaries, and fat body development) the binary probit analysis and the chi-square test were used. Parametric data (the duration of the preoviposition period, total fecundity, egg-laying intensity, and follicle size) were ranked because of their non-normal distribution and analyzed by GLM. Multiple pairwise comparisons were made with Tukey’s HSD test of ranked data. In the text and figures, untransformed data are given. All calculations were conducted using SYSTAT 10.2 software (Systat Software Inc., Richmond, VA, USA) [81 ].
6
Biomechanical Assessment of Posterior Cages
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Segmental ROM was analyzed using paired t-tests. Significance level was set to alpha =0.05. The effect of bilateral posterior cages on segmental ROM was evaluated in a single- and two-level constructs as follows: C5–C6 intact vs bilateral posterior cages and C4–C6 intact vs bilateral posterior cages, respectively. The effect of bilateral posterior cages was compared to LMS fusion for a two-level condition at C4–C6. Finally the combination of the two constructs was tested by comparing posterior cages alone to posterior cages plus LMS at C4–C6.
Each comparison was analyzed separately for FE, LB, and AR, since no comparisons across load types were intended in the study design. The statistical data analyses were performed using Systat 10.2 software package (Systat Software, Richmond, CA, USA).
Each comparison was analyzed separately for FE, LB, and AR, since no comparisons across load types were intended in the study design. The statistical data analyses were performed using Systat 10.2 software package (Systat Software, Richmond, CA, USA).
7
Chondrocyte Cluster Formation Quantification
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Analyses were performed using Systat 10.2 (Systat Software, Chicago, IL). Means are presented ±SD. Differences in cell number, DNA content/bead, and GAG/bead were assessed using multivariate repeated measures analysis of variance (ANOVA) with incubation time as a repeated factor followed by post hoc Bonferroni test when significance was detected (p < 0.05). Differences in total collagen/DNA were assessed using a one-way ANOVA. If the ANOVA identified an overall significant effect, post hoc Tukey's honestly significant difference tests were used to verify significant differences between culture conditions. Linear regression analysis was used to analyze the relationship between chondrocyte cluster formation and oxygen tension. A difference was considered significant when p ≤ 0.05.
8
Statistical Analysis of Time-Series Data
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Data were analyzed using SYSTAT 13 (Systat Software, Inc, Point Richmond, CA). All data are presented as mean±SEM relative to baseline. A repeated-measures ANOVA was used for sequential time-based measurements for each test solution against its own baseline and control values. Using Fisher’s least significant different test, post-hoc multiple comparisons were done between different test groups at different time points during test solution and re-exposure periods. Probability values <0.05 were considered significant. A Shapiro-Wilk test was used to test for normality. If the data failed the normality test, a nonparametric (Friedman’s nonparametric repeated-measures comparison) was used. Statistical analysis was performed using SyStat 10.2 (Systat Software).
9
Quantitative Biomechanical Analysis
10
Statistical Analysis of Cell and Mouse Data
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Throughout this study, data are shown as means ± SD and the number of cells (n) and mice (N) are indicated. Data were averaged for each mouse used, unless otherwise indicated. Data in the figures are plotted showing both single cells and averaged data for each studied mouse. Statistical significance was assessed with either Student's t test or one‐factor ANOVA for multiple‐group comparisons (with the Bonferroni post hoc test). Statistical analysis was performed with the SYSTAT 10.2 software (Systat Software, Chicago, IL, USA). Two‐tailed, non‐parametric statistical comparisons were performed using the Wilcoxon signed‐rank (WSR) test for paired data or the Mann–Whitney U (MWU) test for unpaired data. The level of significance was set at 0.05.
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