Spss for mac

Manufactured by IBM

Sourced in United States

SPSS for Mac is a statistical software package developed by IBM. It provides tools for data analysis, data management, and data visualization. The software is designed to run on Apple's macOS operating system.

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Lab products found in correlation

Spss statistic, by IBM (5 mentions) Spss statistics for mac, by IBM (2 mentions) Prism 7 for mac, by GraphPad (1 mentions) Prism for mac, by GraphPad (1 mentions) Prism v7, by GraphPad (1 mentions) Statistical package for the social science, by IBM (1 mentions) Spss statistics for window, by IBM (1 mentions) Spss v26, by IBM (1 mentions)

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SPSS for Mac, version 15 SPSS 16.0 for Mac SPSS 25.0 for Mac software SPSS 20.0 for Mac SPSS Statistics for Mac OS, Version 24.0 SPSS statistics version 26.0 for Mac SPSS Statistics for Mac. V25 SPSS for Mac version 21.0 SPSS for Mac OS X v22.o SPSS Statistics software for Mac

143 protocols using spss for mac

Bighead Catfish Growth and Immunity

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The obtained growth performance, innate immune response, bacterial colonization, and skin mucosal immunity data were obtained for three replicates, and the results are expressed as the mean ± standard error of the mean (SEM). Data were statistically analyzed by one-way analysis of variance (ANOVA) and Duncan’s new multiple range test (DMRT) were used to determine differences among groups at days 15 and 30 of the trials, respectively. All statistical analyses were performed using Statistical Package for Social Science (SPSS for Mac version 24.0, Chicago, IL, USA). The level of statistical significance between the control and treatment groups at different times checked was indicated as * (p < 0.05) and ** (p < 0.01) using Student’s t-test.
Survival analysis of bighead catfish in each group was calculated using the Kaplan-Meier method [33 (link)]. Cumulative survival plots were generated using SPSS for Mac (version 24.0, Chicago, IL, USA). The level of statistical significance between the control and treatment groups was indicated as * (p < 0.05) and ** (p < 0.01) using Student’s t-test.

Bunnoy A., Na-Nakorn U, & Srisapoome P. (2019). Probiotic Effects of a Novel Strain, Acinetobacter KU011TH, on the Growth Performance, Immune Responses, and Resistance against Aeromonas hydrophila of Bighead Catfish (Clarias macrocephalus Günther, 1864). Microorganisms, 7(12), 613.

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Udder Morphology and Somatic Cell Count Correlation

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Variables normality was previously analyzed using the Shapiro–Wilk test statistic. All the values, including SCC after log10-transformation, did not present a normal distribution, and non-parametric tests were used. The halves were considered the unit level. The data of the measured parameters were tested for correlation significance with the Spearman correlation coefficient, in SPSS^© for Mac (version 26.0.0.0, SPSS Inc., Chicago, IL, USA). A correlation was considered strong if 0.700 < |r| < 1.000, and weak if 0.0 < |r| < 0.400. The effect of bacteriological status and the effect of SCC on udder morphological traits have been studied using the Kruskal–Wallis test for independent samples, with subsequent Kruskal–Wallis 1-way ANOVA pair-wise comparisons (K samples), in SPSS^© for Mac (version 26.0.0.0, SPSS Inc., Chicago, IL, USA). Differences were considered statistically significant at p ≤ 0.05.

Margatho G., Quintas H., Rodríguez-Estévez V, & Simões J. (2020). Udder Morphometry and Its Relationship with Intramammary Infections and Somatic Cell Count in Serrana Goats. Animals : an Open Access Journal from MDPI, 10(9), 1534.

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Statistical Analysis Methods Reporting

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We analyzed all data using SPSS for Mac (version 24.0; SPSS Inc., Chicago, IL, USA) or R statistical programming language (version 3.3.3). In the figure and table legends, we state the specific statistical used parameters as well as the number of included twin pairs and the cutoff for statistical significance.

van der Kolk B.W., Saari S., Lovric A., Arif M., Alvarez M., Ko A., Miao Z., Sahebekhtiari N., Muniandy M., Heinonen S., Oghabian A., Jokinen R., Jukarainen S., Hakkarainen A., Lundbom J., Kuula J., Groop P.H., Tukiainen T., Lundbom N., Rissanen A., Kaprio J., Williams E.G., Zamboni N., Mardinoglu A., Pajukanta P, & Pietiläinen K.H. (2021). Molecular pathways behind acquired obesity: Adipose tissue and skeletal muscle multiomics in monozygotic twin pairs discordant for BMI. Cell Reports Medicine, 2(4), 100226.

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Assessing Interobserver Reliability in Rotational Error Measurements

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Interobserver reliability was assessed with the ICC for each measurement using a two-way mixed model for calculation. The assumption of sphericity was tested utilizing the Mauchly sphericity test. As the assumption of sphericity was violated, we accordingly applied the nonparametric Friedman rank-sum test with the segment as a group factor and the individuals as a block factor to analyze the effect of the defined segments on the FCR error. Post hoc analysis was performed using the Wilcoxon signed-rank test with adjusted Bonferroni p-values. For graphical FCR error visualization, Tukey boxplots were used, with the ends of the whiskers indicating 1.5 times the interquartile range (IQR) between the lower and upper quartiles, and outliers denoted with a circle. Descriptive statistics of the rotational errors were calculated from the absolute values. All statistical analyses were performed in SPSS for Mac (Version 23.0, SPSS Inc., Chicago, Illinois). Significance was set at p < 0.05.

Hoch A., Hasler J., Schenk P., Ackermann J., Ebert L., Fürnstahl P., Zingg P, & Vlachopoulos L. (2022). Registration based assessment of femoral torsion for rotational osteotomies based on the contralateral anatomy. BMC Musculoskeletal Disorders, 23, 962.

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Statistical Analysis of Continuous and Categorical Data

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Continuous data were presented as the median and the interquartile range (IQR; range from the 25^th to the 75^th percentile). Percentages were calculated for dichotomous variables. The chi-square test was used for comparison of categorical variables. Continuous variables were compared by means of the Mann–Whitney U test. Related samples were compared by Kruskal–Wallis testing and McNemar analysis. All p -values are calculated two sided; a p -value < 0.05 is considered as statistically significant. Calculations are performed with SPSS for Mac (Version 18.0, SPSS Inc., Chicago, IL, USA).

Giurgea G.A., Haumer M., Mlekusch I., Sabeti-Sandor S., Dick P., Schillinger M., Minar E, & Mlekusch W. (2017). Stent-induced flow disturbances in the ipsilateral external carotid artery following internal carotid artery stenting: a temporary cause of jaw claudication. Wiener Klinische Wochenschrift, 129(13), 487-490.

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Real-Time PCR Analysis of Samples

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Real-time PCR analyses were performed in duplicate. Statistical significance was determined using a non-parametric Kruskall-Wallis and Mann–Whitney tests. Data are presented as means ± SD with the statistical significance set at p < 0.05. All statistical analyses were performed using SPSS for Mac (release 22.0; SPSS, Chicago, IL, USA).

Sánchez-Iglesias S., Crocker M., O’Callaghan M., Darling A., García-Cazorla A., Domingo-Jiménez R., Castro A., Fernández-Pombo A., Ruibal Á., Aguiar P., Garrido-Pumar M., Rodríguez-Núñez A., Álvarez-Escudero J., Brown R.J, & Araújo-Vilar D. (2019). Celia’s encephalopathy and c.974dupG in BSCL2 gene: a hidden change in a known variant. Neurogenetics, 20(2), 73-82.

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Statistical Analysis of Categorical and Continuous Variables

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The results were analysed with the statistical software SPSS for Mac (version 25.0, Chicago, IL, USA). This consisted of a descriptive analysis of the categorical variables (expressed in absolute and relative frequencies), and the continuous variables (expressed in measurements of central tendency [median] and the dispersion [interquartile range]). To determine the normality of the sample the Kolmogorov-Smirnov test was applied. The Chi-Square test was used to analyse the association between the performance of PA (yes/no) and the rest of the categorical variables. As a means to study the inter-subject differences of the continuous variables Mann–Whitney’s U-test was applied. The significance value for the all the analyses was established at p < 0.05.

Carballo-Fazanes A., Rico-Díaz J., Barcala-Furelos R., Rey E., Rodríguez-Fernández J.E., Varela-Casal C, & Abelairas-Gómez C. (2020). Physical Activity Habits and Determinants, Sedentary Behaviour and Lifestyle in University Students. International Journal of Environmental Research and Public Health, 17(9), 3272.

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Compartment Pressure and Patient-Reported Outcomes

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Data were recorded in a computer database and analysed using SPSS for Mac (version 16.0). Demographic data, history, physical examination findings, and values of compartment pressure were recorded. Descriptive statistics was calculated. Wilcoxon signed-rank test was used to compare preoperative and postoperative EQ-5D and SF-36 scores. Pearson’s chi-squared test with the Yates correction was used to assess the return to sport activity rate. Nonparametric statistical tests that were used as values were not found to be normally distributed. A P value of <0.05 was considered significant.

Maffulli N., Loppini M., Spiezia F., D’Addona A, & Maffulli G.D. (2016). Single minimal incision fasciotomy for chronic exertional compartment syndrome of the lower leg. Journal of Orthopaedic Surgery and Research, 11, 61.

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Biostatistical Analysis of Experimental Data

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Means ± standard deviations [SD] were calculated for continuous, normally distributed variables. Categorical or continuous variables were mapped by medians with interquartile ranges [IQR]. The p-values for categorical variables were derived from Fisher’s two-tailed exact test. On continuous variables, the Mann-Whitney U test (Bonferroni post hoc test) was used. A p value < 0.05 was considered statistically significant. All analyses were performed using Statistical Package for Social Sciences (SPSS for Mac©), version 26 (SPSS Inc., Chicago, IL, USA), and graphs were created using GraphPad Prism 7 for Mac© (GraphPad Software Inc., San Diego, CA, USA).

Schindler C.R., Woschek M., Mühlenfeld N., Seifert L., Marzi I., Störmann P, & Verboket R.D. (2022). Health Economic Challenge: Geriatric Trauma—An Age-Based Observational Analysis of Treatment Costs and Reimbursement Issues. International Journal of Environmental Research and Public Health, 19(14), 8270.

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Comparative Demographic and Clinical Analysis

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Demographic and clinical characteristics comparing the two groups were evaluated using bivariate analysis. P-values for categorical variables were derived from the 2-sided Fisher's exact test and for continuous variables from the Mann–Whitney U test. Values are reported as mean ± standard deviation (SD) for continuous variables and as percentages for categorical variables. All analysis were performed using the Statistical Package for Social Sciences (SPSS for Mac), version 24.0 (SPSS Inc., Chicago, IL).

Lustenberger T., Störmann P., Eichler K., Nau C., Janko M, & Marzi I. (2020). Secondary Angio-Embolization After Emergent Pelvic Stabilization and Pelvic Packing Is a Safe Option for Patients With Persistent Hemorrhage From Unstable Pelvic Ring Injuries. Frontiers in Surgery, 7, 601140.

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