Differences in annual leaching volumes among different treatments were analyzed by one-way parametric analysis of variance using SPSS version 11.5 (SPSS, Chicago, IL, USA). Line charts were prepared to assess the changes in the annual nitrogen loss, annual nitrate nitrogen, and ammonium nitrogen losses under different treatments. The relationships between the leaching volumes and N, P, and K fertilization and irrigation regimes were analyzed by linear regression using SPSS version 11.5 (SPSS, Chicago, IL, USA).
Spss version 11
Manufactured by IBM
Sourced in United States, Japan
SPSS version 11.5 is a statistical software package developed by IBM. It provides tools for data analysis, data management, and data visualization. The software is designed to handle a wide range of data types and can be used for a variety of statistical analyses, including regression, correlation, and hypothesis testing.
Automatically generated - may contain errors
Lab products found in correlation
Prism 5, by GraphPad (8 mentions)
Epi info version 5, by Abacus (3 mentions)
Statview version 5, by Abacus (3 mentions)
Sas version 9, by SAS Institute (3 mentions)
Excel 2010, by IBM (2 mentions)
Prism version, by GraphPad (2 mentions)
Excel sheet 2007, by IBM (2 mentions)
Origin 8, by OriginLab (2 mentions)
R version 3, by R Project for Statistical Computing (1 mentions)
Spss statistics version 26, by IBM (1 mentions)
Excel 2021, by IBM (1 mentions)
Spss statistics 20, by IBM (1 mentions)
Prism 3, by GraphPad (1 mentions)
Prism 8, by GraphPad (1 mentions)
Taqman universal pcr master mix, by Roche (1 mentions)
Trizol reagent, by Thermo Fisher Scientific (1 mentions)
Originpro 9, by OriginLab (1 mentions)
Whonet version 5, by IBM (1 mentions)
Excel 2007, by IBM (1 mentions)
Originpro v8, by OriginLab (1 mentions)
702 protocols using spss version 11
1
Analyzing Nutrient Leaching Dynamics
2
Kidney Stone Formers: Comprehensive Analysis
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Data are presented as mean ± standard deviation for normally distributed continuous variables and median (range) for continuous variables that are not normally distributed. Wilcoxon-Mann-Whitney, chi-square and Fisher’s exact tests were used to compare stone formers with controls and analysis of covariance (ANCOVA) to compare the two groups with respect to SCr and eGFR, adjusting for BMI, hypertension, diabetes and cardiovascular disease which may affect the outcome variables. The same methods were used to compare a subgroup of patients with calcium stones with their corresponding control subjects. Spearman’s correlation coefficient was used to correlate the number of clinical stone events with measures of kidney function. Statistical analysis was performed with the computer software SPSS version 11 (SPSS, Chicago, IL).
3
Biogenic Silver Nanoparticle Characterization
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In the present study, evaluations were done in triplicates; expressed values were as mean ± SD. The statistical program SPSS version 11 was used to perform one-way ANOVA. Student’s t-test at (P < 0.05). One sample image for biogenic AgNPs was chosen from TEM, SEM and zeta size images. Representative pictures are supplemented with scales.
4
Statistical Analysis of SMLN Metastasis
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Statistical analysis was performed using the SPSS version 11 software. Univariate and multivariate analyses of the relationships between SMLN metastasis and clinico-pathologic characteristics of the primary lesion or lymph node metastasis were performed using the Fisher exact test and binary logistic regression. A P value less than 0.05 was considered to be statistically significant.
5
Questionnaire Data Analysis Protocol
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Responses to closed-ended questions were coded directly onto the questionnaire and responses to open-ended questions were summarised and then coded according to a pre-established coding protocol developed after the interviews. Both sets of questionnaires were analysed using SPSS version 11 (SPSS Inc., Chicago, IL, USA), using descriptive statistics and chi-square test of association to assess relationships between data.
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6
Statistical Analysis of Continuous and Categorical Data
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Data summarization methods for continuous data were done by mean and standard deviation, and data summarization methods for categorical data were done by frequency tables; p<0.001 was considered to be significant. Data were analyzed by SPSS version 11 (SPSS Inc., Chicago, Illinois, USA) through the Kolmogorov–Smirnov test, ANOVA, and Tukey tests.
7
Comparative Analysis of Gene Expression
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All statistical analyses were performed with SPSS version 11. The independent experiments were performed at least in triplicate, and all values are expressed as the means ± SD. Student’s t-tests were used to compare the results between the two groups. Significant differences are indicated by “*” (P < 0.05), and extremely significant differences are indicated by “**” (P < 0.01).
8
Epidata Analysis of Survey Responses
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Each response to question in the questionnaire was coded and then entered into the epidata tool, version 3.1. The data was exported and analyzed using Statistical Package for Social Scientists (SPSS version 11). The frequencies and percentage response for each question was computed and the data was transformed into a 2 × 2 table.
9
Mortality Risk Factors Analysis
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We used t-test for continuous normally distributed variables. For categorical data Chi-square statistics was used and Fischer-exact test was used for small numbers. For variables which were not normally distributed Wilcoxon's Mann-Whitney U-test was used. P value of 0.05 or less was considered statistically significant. Crude hazard ratios were calculated to assess the strength of association between risk factors and outcome i.e. mortality. We used Cox proportional hazard regression model for analysis of multiple predictor variability. All data analysis was performed by using stata software version 10 and SPSS version 11.
10
Prolactinoma and Menstrual Cycle Normalization
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All the data were entered into Microsoft Excel and converted into SPSS version 11 (Chicago, Illinois, USA). The data are expressed as mean ± standard deviation. Patients were subdivided into various groups according to etiologic diagnosis. Independent t-test was used to compare the parametric variables between patients with prolactinoma and DIH. Chi-square test was used for the comparison of nonparametric variables. Mann–Whitney U-tests and Kruskal–Wallis tests were performed to calculate the P value where the data were not normally distributed. P value was considered statistically significant at values <0.05. Pearson's correlation between linear variables was performed where appropriate. Linear regression analysis was performed with duration to normalization of regular cycles as the dependent variable.
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