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Spss 22.0 software package for windows

Manufactured by IBM
Sourced in United States

SPSS 22.0 is a statistical software package for Windows designed to analyze data. It provides a range of tools for data management, statistical analysis, and visualization. The software is used to perform tasks such as data exploration, regression analysis, and hypothesis testing.

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Lab products found in correlation

6 protocols using spss 22.0 software package for windows

1

Statistical Analysis of Clinical Data

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The SPSS 22.0 software package for Windows (SPSS Inc. Chicago, Illinois, USA) was used. Categorical variables are presented as numbers and proportions (%). Continuous normally distributed variables are summarized as mean ± one standard deviation (SD), while non-normally distributed variables (according to the Kolmogorov-Smirnovand the Shapiro-Wilk test) are described by their median and interquartile range (IQR). Accordingly, either the t test or the Mann-Whitney U test was used to compare the results. A P value <0.05 was considered significant. The authors had full access to the data and take responsibility for its integrity.
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2

Antifungal Sensitivity and Periodontal Parameters

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The SPSS 22.0 software package for Windows (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. Descriptive data were presented as Mean ± SD (min–max) for numerical and percentages for categorical variables. Normality of the numeric data was tested by the Koglomorov–Smirnov Test. Student’s t-test and One-Way ANOVA was used for normally distributed data. Parametric data were analyzed using the Mann–Whitney test or Kruskall–Wallis Test. The Chi Square (χ2) Test was used for comparison of categorical variables. Spearman’s correlation coefficient was calculated in order to assess the relationship between the MICs for antifungals and clinical periodontal parameters. Differences were considered significant when the p-value was < 0.05.
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3

Drought Stress Impacts on Elemental Concentrations

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The data are presented as the means ± SE. The effects of drought stress, duration, and organ and element concentration interactions were tested using a three-way analysis of variance (ANOVA). The fixed factors were stress type, stress duration, and organs. ANOVA was used to compare element concentrations among different stress intensities or durations. The means were compared using Duncan’s post-hoc test (p < 0.05). All statistical analyses were performed using SPSS 22.0 Software package for Windows (SPSS Inc., Chicago, IL, USA)
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4

Candida spp. Predictors in Periodontal Health

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SPSS 22.0 software package for Windows (SPSS inc. Chicago, USA) was used for statistical analysis. Descriptive data were presented as Mean (SD) for numerical or the percentage for discrete measures. ANOVA with Bonferroni correction was used for normally distributed data. Non-parametric data was analyzed using the Kruskall-Wallis and Mann-Whitney test. Chi Square Test (χ2) was used for comparison of categorical variables. The logistic regression model was used to determine predictors of the presence of Candida spp. Subjects with missing data were not included in the study. Inter-rater reliability was appraised for each periodontal clinical parameter using the Cohen’s kappa statistics. Differences were considered significant when p-value was < 0.05.
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5

Cervical Spine Fascia Displacement Analysis

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Preliminary values were obtained from a pilot study in six subjects. The values of fascia displacement in the first 10 % of the cycle and those at the end of the cervical spine flexion were considered for sample size analysis. Since a statistical power of 90 %, an alpha of 5 %, and a loss rate 30 % were used to detect differences equal to or above 0.037 mm and with a standard deviation of 0.027 mm, the calculated sample size for the experimental condition was a minimum of 10 subjects.
Final average displacement was determined such that it would be above the basal LKP tracking error, thus determining the existence of deep fascia displacement of the MG. All data were analyzed with the SPSS for Windows 22.0 software package (IBM Corp, Armonk, New York, USA). A value of p < 0.05 was considered statistically significant. To determine normal distribution, the Shapiro-Wilk test was used. All data were normally distributed. To assess average MG fascial displacement, ANOVA testing was used, and readings from every 10 % of the cycle were compared against the first 10 % of the cycle.
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6

Statistical Analysis of Research Data

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SPSS for Windows 22.0 software package (IBM Corporation, Armonk, NY, USA) was used in the statistical evaluation of the data in the study. Student’s t-test was used to compare the mean of the variables that fit the normal distribution, and Mann–Whitney U test was used for the variables that did not fit the normal distribution in the comparison of the categorical variables. Shapiro–Wilk test used for evaluating the normality of distribution of the variables. Correlations of linear variables were evaluated by Pearson correlation analysis. Spearman’s correlation analysis was used for the variables that did not fit the normal distribution. Significance level was accepted as P<0.05.
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