A completely randomized design was used and the normality test was performed before the one-way analysis of variance (ANOVA) was carried out. The means were compared using a Tukey–Kramer test. In addition, a comparison with a student paired t-test was used to compare the effect of gastrointestinal digestion on bioactivities. For all statistical analysis, a 95% confidence was used. The analysis was performed using NCSS 2007 (NCSS Statistical Software, Kaysville, UT, USA).
Ncss 2007
Manufactured by NCSS Statistical Software
Sourced in United States
NCSS 2007 is a statistical software package developed by NCSS Statistical Software. It provides a comprehensive suite of statistical analysis tools for researchers and data analysts. The software is designed to handle a wide range of data types and offers a user-friendly interface for data manipulation, visualization, and statistical modeling. NCSS 2007 includes a variety of statistical procedures, such as regression analysis, ANOVA, and time series analysis, among others. The software is intended to be used for statistical analysis and modeling in various fields, including but not limited to, business, science, and academia.
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Lab products found in correlation
6 protocols using ncss 2007
1
Evaluating Bioactivity Changes Post-Digestion
2
Mango Seed Extract Effects on Bacteria Growth
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A complete randomized design was done for all experiments. The effect of mango seed extract was tested on the kinetic parameters of bacteria growth (lag phase, µmax and Ymax). Also, the effect of mango seed extract on sensory acceptability, antioxidant activity and bacterial load reduction of fresh-cut mango was tested. Analysis of variance (ANOVA) was done (p < 0.05) to estimate significant differences between treatments and Tukey’s mean test was used for comparison (p < 0.05) using the software NCSS 2007 (NCSS Statistical Software, Kaysville, UT, USA).
3
Statistical Analysis Protocol for Research
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The NCSS 2007 software (NCSS Statistical Software, Kaysville, UT, USA) was used for all statistical analyses. Data obtained by descriptive statistical methods (mean, standard deviation, median, frequency, ratio, minimum, maximum) which showed a normal distribution were evaluated using the Student’s t test in two-group comparisons. Data with a non-normal distribution were compared using the Mann Whitney U test for two-group comparisons. Pearson’s chi-square test and Yates’ continuity correction test (Yates corrected chi-square) were used to compare qualitative data. Intervariable correlations were evaluated using Spearman’s correlation analysis. P values of < 0.05 were considered to indicate statistical significance.
4
Evaluating Serum TXB2 in Two Groups
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NCSS 2007 (NCSS Statistical Software, Kaysville, UT, USA) was used for statistical analysis. The Shapiro-Wilk test was used to determine whether quantitative variables complied with normal distribution. For comparisons of quantitative variables between two groups, the Student t-test was used for variables that showed normal distribution and the Mann-Whitney U test was used for variables that did not show normal distribution. The Pearson chi-square test and Fisher exact test were used to compare qualitative data. Values of p<0.05 were considered statistically significant. The Cohen effect size for serum TXB2 was found to be 0.63. With that effect size, the power of the study in post hoc analysis was 81% for an error rate of 0.05 with 38 and 30 patients in the two groups according to G*Power 3.1.9.4 (Dusseldorf University, Dusseldorf, Germany).
5
Statistical Analysis of Experimental Data
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Analyses were conducted using the tests indicated in the figure legends via GraphPad Prism 6.0 (Graph-Pad Software, San Diego, CA, USA) or NCSS 2007 (NCSS Statistical Software, Kaysville, UT, USA). All of the data were first subjected to Grubbs' outlier test. Data are expressed as mean ± SEM. P values < 0.05 were considered statistically significant, and values 0.05 ≤ P < 0.1 were considered evidence of statistical trends.
6
Statistical Analysis of Biomedical Data
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All information was categorized numerically for analyses with NCSS 2007 (NCSS Statistical Software, www.ncss.com ). When Chi‐square and Fishers exact tests showed significant results, specificities and sensitivities were calculated and univariable logistic regression analyses were performed to establish odds ratios (OR) with 95% confidence interval (CI). T‐tests or, if the data were not normally distributed, Mann–Whitney U and Wilcoxon Rank‐Sum Tests were used to investigate differences between the time intervals of the 2 assessments. Significance level was set at P ≤ .05.
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