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Spss statistics software 22

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SPSS Statistics software 22.0 is a comprehensive statistical analysis software package developed by IBM. It provides a range of tools for data management, analysis, and visualization. The software supports a variety of statistical methods and techniques, including descriptive statistics, regression analysis, and hypothesis testing. SPSS Statistics 22.0 is designed to assist users in gaining insights from their data and making informed decisions.

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Lab products found in correlation

Origin 8, by OriginLab (2 mentions) Prism 5, by GraphPad (2 mentions) Prism 8, by GraphPad (2 mentions) Sigmaplot 12, by Merck Group (1 mentions) Spss statistics 22, by IBM (1 mentions) Originpro 8, by OriginLab (1 mentions)

Close spelling variants of this product

SPSS Statistic software 22.0 SPSS Statistic software for Windows, Version 22.0 SPSS statistic software v. 22.0 SPSS 22.0 statistic software SPSS statistic software version 22 SPSS Statistics 22 statistical software SPSS 22.0 Statistics Software for Windows SPSS Statistics software version 22 SPSS Statistics for Windows software version 22.0 SPSS Statistics software program version 22.0

56 protocols using spss statistics software 22

1

Statistical Analysis of Experimental Data

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Data were expressed as the mean ± standard deviation. IBM SPSS statistics software 22.0 (SPSS Inc., Chicago, IL, USA) was used for data analysis, including descriptive statistics of the data, correlation analysis of the factors, regression analysis and the chi-square test. The boxplots were generated with Origin 8 (OriginLab Co., Northampton, MA, USA).
Qiao J., Luo Z., Gu Z., Zhang Y., Zhang X, & Ma X. (2019). Identification of a Novel Specific Cucurbitadienol Synthase Allele in Siraitia grosvenorii Correlates with High Catalytic Efficiency. Molecules, 24(3), 627.
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2

Statistical Analysis of Research Data

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SPSS Statistics software 22.0 (SPSS, Chicago, IL, USA) was used for the analysis of variance and test of significance (p < 0.05), and Origin 8.5.1 and excel software were used to draw the graphs.
Chen C., Liu P., Cao J., Ouyang Z, & Pang Z. (2022). Pasting, Rheological, and Tribological Properties of Rice Starch and Oat Flour Mixtures at Different Proportions. Foods, 11(14), 2115.
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3

Antibody Levels and NE Occurrence Analysis

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To compare the mean values of antibody levels for the enzyme linked immunoassay, 1-way analysis of variance analysis was carried out followed by Dunnett's multiple comparisons test using GraphPad Prism 5.01 software (GraphPad Software, La Jolla, CA, USA). For the in vivo NE model, differences between groups in the occurrence of NE-positive birds were evaluated by binary logistic regression analysis with the SPSS Statistics software 22.0 (SPSS Inc., Chicago, IL, USA). In both analyses, a P value of less than 0.05 was considered as significant.
Fernandes da Costa S.P., Mot D., Geeraerts S., Bokori-Brown M., Van Immerseel F, & Titball R.W. (2016). Variable protection against experimental broiler necrotic enteritis after immunization with the C-terminal fragment of Clostridium perfringens alpha-toxin and a non-toxic NetB variant. Avian Pathology, 45(3), 381-388.
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4

Statistical Analysis and Visualization

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SPSS Statistics software22.0 (SPSS, Chicago, IL, USA) was used to analyze the difference and level of significance of the experimental data. Origin 8.5.1 (Origin Lab, Northampton, MA, USA), and Excel software2019 (Microsoft, Redmond, WA, USA) was used to make the graphs.
Chen C., Sun R., Liu P., Yang J., Ouyang Z, & Pang Z. (2022). Study on Active Particles in Air Plasma and Their Effect on α-Amylase. Foods, 11(18), 2896.
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5

Statistical Analysis of Experimental Data

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Statistical analysis was conducted using SPSS Statistics software 22.0 (Chicago, IL, United States). Continuous variables were expressed as mean ± standard deviation and analyzed by independent-samples t test. Categorical variables were expressed as percentages and assessed by two-sided chi-square test. The differences of multiple groups were performed by one-way ANOVA following with post-hoc of Dunnett t test. P < 0.05 was considered to be statistically significant.
Zhou H.Y., Wu C.Q, & Bi E.X. (2019). MiR-96-5p inhibition induces cell apoptosis in gastric adenocarcinoma. World Journal of Gastroenterology, 25(47), 6823-6834.
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6

Nonparametric Statistical Analysis Protocol

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Mann-Whitney U test was used to analyze the difference between two groups and the Spearman’s rank correlation was used to determine the correlation between variables. Statistical analyses were performed with IBM SPSS Statistics software 22.0 (SPSS Inc., Chicago, IL, USA). All significance tests were two-sided.
Kim E.S., Choe P.G., Park W.B., Oh H.S., Kim E.J., Nam E.Y., Na S.H., Kim M., Song K.H., Bang J.H., Park S.W., Kim H.B., Kim N.J, & Oh M.D. (2016). Clinical Progression and Cytokine Profiles of Middle East Respiratory Syndrome Coronavirus Infection. Journal of Korean Medical Science, 31(11), 1717-1725.
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7

Statistical Analysis of Experimental Data

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Statistical analysis was conducted using SPSS Statistics software 22.0 (Chicago, IL, United States). Data are presented as mean ± standard deviation (SD) and analyzed by one-way analysis of variance followed by Dunnett’s post-hoc t-test. aP < 0.05 was considered statistically significant.
Zhang Q., Zhang C., Ma J.X., Ren H., Sun Y, & Xu J.Z. (2019). Circular RNA PIP5K1A promotes colon cancer development through inhibiting miR-1273a. World Journal of Gastroenterology, 25(35), 5300-5309.
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8

Statistical Analysis of Clinical Outcomes

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Statistical analysis were performed with SPSS Statistics software 22.0 (SPSS Inc., Chicago, Illinois, United States). The Wilcoxon test was used for the comparison between the pre- and postoperative data of the clinical scores, the Mann-Whitney-U test to compare the clinical scores between two different groups of the population and the Kruskal-Walis test to compare the clinical scores between several groups. The parametric Students t-test was used to compare pre- and post-operative geometrical measurements. The level of significance was set to alpha < 0.05. A statistical review was conducted by a biomedical statistician.
von Engelhardt L.V., Manzke M., Breil-Wirth A., Filler T.J, & Jerosch J. (2017). Restoration of the joint geometry and outcome after stemless TESS shoulder arthroplasty. World Journal of Orthopedics, 8(10), 790-797.
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9

Statistical Analysis of Experimental Data

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Statistical analysis was conducted using SPSS Statistics software 22.0 (Chicago, IL, USA). Data are represented (except otherwise mentioned) as mean ± standard deviation (SD). The differences between two groups were analyzed using Student’s t-test. The differences of multiple groups were performed by one-way ANOVA followed by post-hoc Dunnett t test. P < 0.05 was considered as statistically significant.
Ge X.L., Wang J.L., Liu X., Zhang J., Liu C, & Guo L. (2019). Inhibition of miR-19a protects neurons against ischemic stroke through modulating glucose metabolism and neuronal apoptosis. Cellular & Molecular Biology Letters, 24, 37.
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10

Statistical Analysis in Medical Research

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Statistical analysis was conducted using SPSS Statistics software 22.0 (Chicago, IL, U.S.A.). Continuous variables were expressed as mean ± standard derivation (SD) and analyzed by independent-samples t test. Categorical variables were expressed as percentages and assessed by two-sided chi-square test. The differences of multiple groups were performed by one-way ANOVA following with post-hoc Dunnett t test. P<0.05 was considered to be statistically significant.
Wang B., Liu X, & Meng X. (2020). miR-96-5p enhances cell proliferation and invasion via targeted regulation of ZDHHC5 in gastric cancer. Bioscience Reports, 40(4), BSR20191845.
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