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Spss statistic version 24

Manufactured by IBM
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SPSS Statistics Version 24 is a software package used for statistical analysis. It provides tools for data management, statistical modeling, and reporting. The software is designed to help users analyze and interpret data effectively.

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Lab products found in correlation

19 protocols using spss statistic version 24

1

Evaluating PET/CT in Lymph Nodes

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All statistical analyses were performed with Statistical Package for the Social Sciences software (SPSS Statistic version 24.0; SPSS, Chicago, IL, USA). LNs were divided into 2 groups according to the PET/CT status: PET-positive and PET-negative. The results are presented as the mean and the median value of SA, LA, SA/LA ratio, ADC, rADC, and cADC. First, a normality test was performed. Comparisons between the 2 groups were made with a Mann-Whitney U test and Student’s t-test, as appropriate. Receiver operating characteristic (ROC) curves were created for each ADC-based parameter to calculate the area under the ROC curve (AUC) and to establish which could better distinguish the LNs. The cut-off points were chosen using the Youden index, according to the following formula: Youden index = sensitivity + specificity –1. The highest values were selected as threshold values. After-ward, the sensitivity and specificity of the threshold value for each parameter were determined. Pearson’s c2 test and Exact Fisher test were used to compare these parameters. The significance threshold was set at p < 0.05.
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2

Statistical Analysis of Experimental Data

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Statistical analysis of data was carried out using the IBM SPSS Statistic version 24.0 (SPSS, Chicago, IL, USA, 2017) statistical software package. Data were expressed as the mean ± SEM of four independent experiments. The statistical analysis of the results was performed by student’s t-test for paired samples. Differences between groups were statistically analyzed using ANOVA followed by the Tukey HDS post-hoc test for multiple comparisons. p ≤ 0.05 was considered statistically significant.
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3

Gender Differences in Orthorexia and Body Image

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This was a cross-sectional study aimed at investigating ORTO-15 scores' differences between gender and relation with obsessive-compulsive behavior and body image dissatisfaction on a sample of volunteering university students. Data were collected from November 2011 to December 2012. Data were analyzed using SPSS Statistic version 24.0 software (SPSS Inc., Chicago, IL). Descriptive statistics are presented as means, standard deviations (SD) and percentages. An independent t test was used to compare measured variables between males and females. p values less than 0.05 were considered significant. In order to assess the pattern of relationships among ORTO-15, obsessive-compulsive symptoms, eating disorders pathology and body uneasiness, we used two-tailed Pearson's r correlation coefficient and additionally we regressed each criterion variable on ORTO-15 score in males and females separately in a simple linear regression model.
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4

Physicochemical and Sensory Analysis

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The statistical analysis used IBM SPSS STATISTIC (Version 24). An analysis of variance (ANOVA) and Tukey's HSD multiple comparison tests (p < .05) was carried out to establish the difference between pairs of groups, according to the physicochemical and sensory parameters.
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5

Observational Study of Disease Trends

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Data are expressed as median (interquartile range) [minimum; maximum] for continuous variables and number (percentage) for discrete variables. Statistical analysis was performed with SPSS statistic Version 24 (IBM, Armonk, NY).
This study follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for observational studies.9 (link)
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6

Intussusception Diagnosis in Children

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We performed an analysis by dividing all children into three categories according to age: <1 year, 1–2 years, and >2 years. The duration of symptoms was analyzed by dividing it into early and late groups, <6 h and ≥6 h, respectively. Based on initial assessment by the initial attending physician, the children were assigned to either the diagnosed or undiagnosed group. The undiagnosed group included patients who were discharged from the ER, admitted on the suspicion of other diseases, and patients who were diagnosed with intussusception based on the US or CT scanning after suspecting other diseases (for example, appendicitis) in the ER.
Continuous variables are presented as medians with ranges or means ± standard deviations. An independent Student's t-test or one-way analysis of variance was applied for continuous variables. Categorical variables were reported using frequencies and proportions and were compared using the Pearson χ2 or Fisher's exact test, as appropriate, or by linear association. The data were analyzed by using the Statistical Program for the Social Sciences (IBM SPSS Statistic Version 24, IBM Inc., Chicago, IL). A P-value of <0.05 was considered to be statistically significant.
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7

Knockdown and Resistance Evaluation of Mosquito Strains

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The statistical analysis was done using probit analysis from IBM SPSS Statistic Version 24 to find the knockdown time of 50% and 95% of the tested population (KdT50 and KdT95). Based on the KdT50 and KdT95 values, the resistance ratio (RR) was calculated as in the formula below: RR=KdT50/95ofthefieldstrainKdT50/95ofthesusceptiblestrain
Based on the RR value, the field population is considered as susceptible when the RR < 5, mosquitoes are considered to have a moderate resistance when RR is between 5 and 10, and the mosquitoes are highly resistant when RR > 10 26 .
In contrast, the percentage of mortality of the tested population was recorded after 24 h by using the formula as follows: Observedmortality=TotalnumberofdeadmosquitoesTotalsamplesize×100
Abbott`s formula is used as the corrective formula if the mortality rate of control replicates ranged between 10 and 20%. However, the test was discarded and repeated if the percentage in control mortality was more than ≥ 20%. Abbott’s formula was not applied in this study. Correctedmortality=%Observedmortality-%Controlmortality100-%Controlmortality×100
The sequences obtained from the sequencing company (My TAGC DNA Sequencing Services) were aligned using ClustalW and translated into a protein sequence by using protein translation tool from Mega v7.0 software29 (link).
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8

Lamb Ventilation Response Profiles

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The variables were collected just before and after starting mechanical ventilation. Each lamb served as his or her own control. All statistical analyses were conducted using SPSS Statistic version 24 (IBM corporation, Armonk, NY, USA). Continuous variables were mean ± standard deviation after checking for normal distribution of the data using the Shapiro–Wilk test. The non-parametric Friedman and Wilcoxon distribution-free test were used to assess the significance of differences in respiratory and hemodynamic measures between measurements.
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9

Cardiac Ablation Evaluation Protocol

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Continuous variables are expressed as mean ± SD. The parameters before and after catheter ablation were compared by paired t-test. Pearson's correlation coefficients were used to determine the correlation between parameters. Categorical data were compared using Chi-square test. Analysis was performed using IBM SPSS statistic version 24. p-value <0.05 was considered statistically significant.
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10

Biomechanical Analysis of Spinal Implants

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Statistical analysis was performed using IBM® SPSS Statistic® version 24 (IBM, Armonk, NY, USA). Metric-scaled data are reported as arithmetic mean ± standard deviation. One-way analysis of variance (ANOVA) with Bonferroni post-hoc tests were used for comparisons of load levels at failure (IIA and GAA) among the three groups (CON vs. UIV vs. UIV/UIV-1). The level of significance was set at p < 0.05.
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