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Spss 17.0 statistics

Manufactured by IBM
Sourced in United States

SPSS 17.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including descriptive statistics, regression analysis, and advanced statistical modeling. The software is designed to help users understand and interpret data, making it a valuable tool for researchers, analysts, and decision-makers across various industries.

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23 protocols using spss 17.0 statistics

1

Biochar Impacts on Litter Decomposition

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All data were expressed as means ± standard errors. A one-way analysis of variance (ANOVA) followed by Tukey’s Honestly Significant Difference test was used to compare the remaining litter mass of the different rates of biochar addition (p < 0.05). T-test was used to compare the difference in litter water content between litter with and without biochar. Statistical analysis of the data was carried out with SPSS 17.0 Statistics (IBM Corp., Armonk, NY, USA). Ash-free accumulated mass loss vs substrate remaining mass was fitted based on a single exponential model y = ae(−x/b) + c19 (link),20 (link).
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2

Stem Cell Viability on Composite Resins

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The hDPSC (3 × 10 4 cells per cm 2 ) were initially cultured in 12-well culture dishes (3 × 10 4 cells per cm 2 ) and stored in an incubator at 37°C and 5% CO 2 for 1 day. Thereafter, the cells were cultured in low-glucose DMEM (LG-DMEM) containing 10% FBS and 0.2% primocin and placed in direct contact with sterilized discs of bulk fill composite resins. he stem cells were also cultured with no composite discs to create positive controls. The number of viable cell were measured using a cell proliferation assay kit on days 1, 7, 14, and 21 of co-culture. Briefly, WST-1 dye (Cell Proliferation Reagent WST-1, Roche) was added to the culture medium of each well (1:10, 10 μL WST-1 dye to 100 μL medium) at the indicated time points. After storage in an incubator at 37°C and 5% CO 2 for 150 min, the absorbance was measured using a monochromatic microplate reader system (VersaMax Microplate Reader, Molecular Devices, Sunnyvale, CA, USA) at 450 nm wavelength.
The data was analyzed using IBM SPSS 17.0 statistics program for Windows. The mean, median, minimum value, maximum value, and standard deviations were calculated. Significance was tested with the Mann-Whitney U Test.
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3

Statistical Analysis of Experimental Data

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Statistical analysis was performed using SPSS17.0 statistics software. Results were expressed as mean ± SD or percentage. Chi-square test was used for percentage comparisons and paired t test was used for mean comparison. p<0.05 indicated that the difference had statistical significance.
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4

Statistical Analysis of Experimental Data

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Statistical analysis was performed using the SPSS 17.0 statistics package. All data are expressed as the means ± SEM. One-way ANOVA with a post-hoc Tukey’s honestly significant difference test was used to determine the significance of differences among groups. P values of ≤ 0.05 were considered significant for rejection of the null hypothesis.
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5

Triplicate Experiment Evaluation

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All experiments were performed at least in triplicate. Data are presented as means ± SD. Comparisons of differences among multiple experimental conditions were evaluated using one-way ANOVA followed by post hoc Tukey’s multiple comparison test (SPSS 17.0 Statistics, SPSS Inc., Chicago, IL, USA). p < 0.05 was considered statistically significant.
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6

Correlation of Lung Ultrasound with ARDS Outcomes

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The data were performed with SPSS 17.0 statistics (SPSS Inc, Chicago). The characteristics of the patients were reported as percentages for categorical variables and compared the differences between groups by chi-square test. The continuous data with abnormal distribution were expressed as median (interquartile range, IQR) and compared using the Mann–Whitney U test. The correlation between LUS score and mechanical ventilation (MV) duration, length of PICU stay, Cdyn, PaCO2, OI and the correlation between the change in LUS scores and the change in daily fluid balance volume during the four days after ARDS diagnosed were all performed using Spearman correlation analysis. Friedman test was used to compare mean of more than 2 sets of data. P value < 0.05 was considered to be statistically significant.
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7

Statistical Analysis of Experimental Data

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All data were analyzed by SPSS 17.0 statistics software, and the mean of three replicates was evaluated and is displayed as the mean ± standard error (SE). Significance was determined using t-tests and is presented as ∗p < 0.05 and ∗∗p < 0.01.
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8

Lung Ultrasound Monitoring During ECMO

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All data were analyzed using SPSS 17.0 statistics (SPSS Inc., Chicago, IL, United States). Univariate comparisons of proportions were compared with chi-square tests. The continuous data with non-parametric distribution were expressed as median (interquartile range, IQR) and compared using the Mann-Whitney U test. The Friedman ANOVA was used to compare LUS score and Cdyn at 5 different time points during ECMO support (0 h, 24 h, 48 h, 72 h, and wean). The correlation between LUS score and Cdyn, and the correlation between the change of LUS scores and the change of daily fluid balance during the first 3 days after ECMO initiation were performed using a Bonferroni correction. All P values were two-sided and statistical significance was taken as P < 0.05.
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9

Statistical Analysis of Research Data

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SPSS 17.0 statistics software package was used to conduct statistical analysis. The main statistical methods included descriptive statistical methods, χ2 tests, independent sample t tests, and Pearson correlation analysis. Statistical significance was set at p<0.05.
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10

Oral HPV Infection Prevalence

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Descriptive statistics were used to summarize the participants’ characteristics (median, range, and proportion). HPV positive individuals were compared with HPV negatives to identify characteristics associated with oral HPV infection. The percentage of HPV positive of each group and the prevalence ratio (i.e. the prevalence of infection in exposed divided by the prevalence of infection in the non-exposed) with relative 95% confidence intervals (95% CI) were calculated. The chi-square test (or Fischer’s exact test when the expected number in any cell was <5) was used for comparisons between two categorical variables. For all the relevant comparisons p-values, calculated according to a two tailed probability distribution, are reported. The SPSS 17.0 Statistics (SPSS Inc, Chicago, IL) and STATA 13 software packages were used to compute 95% CI (StataCorp LP, College Station, TX).
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