The results were analyzed using SPSS 13 statistical software (SPSS., Chicago, USA). Quantitative variables were analyzed using Student's t-test between two groups or one- or two-way analysis of variance among multiple groups. The differences were considered significant at p < 0.05.
Spss statistical software 13
Manufactured by IBM
Sourced in United States
SPSS statistical software 13.0 is a data analysis tool that provides advanced statistical capabilities. It enables users to perform a variety of statistical analyses, including regression, correlation, and hypothesis testing. The software is designed to help researchers, analysts, and decision-makers gain insights from their data.
Automatically generated - may contain errors
Lab products found in correlation
Prism 6, by GraphPad (1 mentions)
Spss software v13, by IBM (1 mentions)
Icycler iq5 system, by Bio-Rad (1 mentions)
Primescript first strand cdna synthesis kit, by Takara Bio (1 mentions)
Trizol reagent, by Thermo Fisher Scientific (1 mentions)
Iq sybr green supermix, by Bio-Rad (1 mentions)
Ucp1 23673 1 ap, by Proteintech (1 mentions)
17 protocols using spss statistical software 13
1
Statistical Analysis of Quantitative Data
2
Logistic Regression Analysis of Endometrial Polyps
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Statistical analysis was performed using SPSS 13 Statistical Software (SPSS Inc., Chicago, IL, USA). Multivariate logistic regression analysis was performed, in which the occurrence of EPs was used as the dependent variable, while the age, gravidity, and parity were used as independent variables. Quantitative data, such as age, polyp diameter, and number of polyps, are expressed as the means and 95% confidence intervals (95% CIs). Differences between the groups were assessed using the Mann-Whitney U test for continuous variables and Fisher's exact test for categorical variables. The patients' polyps, along with infertility type, menstrual cycle changes, polyp location, and EM r-AFS stage, were compared with the Pearson chi-square test and Fisher's exact test for qualitative variables. A P value < 0.05 was considered to be statistically significant.
3
Statistical Analysis of Experimental Data
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All statistical calculations were performed with SPSS13 statistical software (SPSS, Chicago, IL, USA). Quantitative data were expressed as the mean ± standard deviation (SD). Statistical significance was determined by the independent sample test or analysis of variance. P ≤0.01 was considered significant.
4
Statistical Analysis of Experimental Data
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All statistical calculations were performed with SPSS13 statistical software. The statistical unit was used as the region of interest. Quantitative data were expressed as the mean ± standard deviation (SD) and analyzed by one-way analysis of variance (ANOVA). Statistical significance was determined by the independent sample test or analysis of variance. Comparison between the groups was made by analyzing data with the post-hoc method. Statistical significance was set at a level of P < 0.05. Multiple comparisons between the three groups was performed using the Student-Newman-Keuls (S-N-K) test method.
5
Statistical Analysis of Experimental Data
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All data were expressed as mean ± standard deviation after at least three separate experiments and analyzed with SPSS13 Statistical Software (SPSS Inc., IL, USA). Differences between groups were analyzed using one-way ANOVA and independent Student’s t test in variables normally distributed, while Kruskal-Wallis and Mann-Whitney U test were adopted for variables with non-normal distribution. A P value < 0.05 was considered to be statistically significant.
6
Tumor Volume Analysis Using SPSS and GraphPad
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SPSS 13 statistical software (SPSS Inc., Chicago, IL, USA) was used for statistical analysis, and GraphPad Prism 6.0 (https://www.graphpad.com/ ) was used for preparing the figures. All data are presented as mean ± standard deviation (SD). Unpaired Student’s t-test was used to compare the difference between the treatment group and control group, and two-way analysis of variance (ANOVA) was used to compare the difference in tumor volume between the treatment group and control group. A value of P < 0.05 was considered to be statistically significant.
7
Statistical Analysis of Experimental Data
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Statistical analysis was performed by SPSS 13 statistical software (SPSS, Inc., Chicago, IL, USA). The data were expressed as the mean ± standard deviation. Statistical significance was compared between the treatment and the control groups by one-way analysis of variance. P<0.05 was considered to indicate a statistically significant difference.
8
TRAIL Expression in Diabetes-Related Nephropathy
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SPSS 13 statistical software was used to perform statistical analyses. Data are reported as the mean ± SD for the quantitative variables (age, sTRAIL, body mass index (BMI) etc.) and as percentages for the categorical variables (gender, smoking status, etc.). The study population was divided into: (a) a healthy control group (CNT), (b) a DM group and (c) a DN group. One-way analysis of variance (least significant difference method) or the χ2 test were used to compare differences in demographic and clinical factors among the three groups. A multinomial logistic regression analysis was performed to identify whether any factors were independently associated with DN. Pearson correlation analysis was used to determine the relationship between TRAIL mRNA expression and various variables. P-values < 0.05 were considered statistically significant.
9
Spectrophotometric Quantification of Lipid Peroxidation
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The leaves were cut into several segments in 5 mL of 10% phosphate buffered saline (PBS) and centrifuged at 12 000 g for 10 min. Two millilitres of the supernatant was added to 5 mL of 0.5% thiobarbituric acid (TBA, in 10% TCA), and the reaction mixture was incubated at 100 °C in a water bath for 10 min. The reaction was cooled to room temperature, and the absorbance of the supernatant at 450, 532 and 600 nm was determined using an UVevis spectrophotometer (UV‐2450). Thiobarbituric acid was used as a blank. The following formula was used to estimate MDA levels: MDA content (mmol/g FW) ¼ [6.542*(OD532‐OD600)‐0.559*OD450] (mmol L1)*V (mL)/fresh weight (g FW). t‐test was used to analyse the numerical data with Microsoft Excel (2003) and SPSS statistical software 13.0 (SPSS Inc.). Each value represents the mean ± SD from three separate experiments.
10
Statistical Analysis of Experimental Data
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All data were analyzed using the SPSS statistical software 13.0(SPSS Inc., Chicago, IL), and P < 0.05 was considered statistically significant. All continuous data were tested for normality with the Kolmogorov-Smirnov test. Student t test or one-way ANOVA was used to compare normally distributed variables. The Mann–Whitney U or Kruskal-Wallis test was used to compare continuous variables not conforming to the assumptions of normality. The correlation of two variables was analyzed by linear regression analysis.
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