All experiments and analyses were repeated for 3 times, and the data represented the mean value. Microsoft Office Excel 2010 and SPSS 18.0 software (SPSS Inc., Chicago, IL, USA) were used for data analysis, and Origin 2021 software was used for drawing the figures.
Microsoft office excel 2010
Manufactured by IBM
Sourced in United States
Microsoft Office Excel 2010 is a spreadsheet software application. It provides tools for organizing, calculating, and analyzing data. Excel 2010 allows users to create and format spreadsheets, perform mathematical operations, and generate charts and graphs.
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5 protocols using microsoft office excel 2010
1
Experimental Data Analysis Workflow
2
Cytotoxicity Evaluation of Compound X
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All experiments were carried out in three replicates and the results were presented as a mean ± standard deviation (SD). Statistical significance was determined using the Student’s t-test. A p value < 0.05 was considered as significant. Statistical analysis of the data was performed using Microsoft Office Excel 2010 and SPSS commercial version 20.0 (SPSS Inc., Chicago, Illinois, USA) software. IC50 values (concentration that inhibited cell survival by 50%) for each cell line were calculated in Microsoft Excel 2010 using trend line.
3
Hyperspectral Data Analysis Workflow
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The measured TNCs statistics and analysis of variance (ANOVA) was finished using Microsoft Office Excel 2010 and IBM SPSS Statistics (version 20.0, IBM Corporation, Armonk, New York, USA). Hyperspectral data was extracted with ENVI software (Version 4.6, ITT Visual Information Solutions, Boulder, USA). The processes of spectral data analyses were carried out by “The Unscrambler X10.1” (CAMO PROCESS AS, Oslo, Norway). In addition, Random frog (version 2.0) toolbox and the developed program for building TNC spatial distribution maps were worked in MATLAB 7.8 (R2009a) software (The MathWorks, Inc., Natick, MA, USA). OriginPro 8.0 SR0 (Origin Lab Corporation, Northampton, MA, USA) software was employed to design the spectral curves. All processes were run on a PC (CPU: Intel Core i3-3220 @3.30 GHz, RAM: 4.00 GB) operating with Windows 7.
4
Statistical Analysis of Age Data
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Subsequently, all the data were recorded in computer programs, such as Microsoft Office Excel 2010 and IBM SPSS statistics version 26 (2019) software (IBM, Armonk, NY, USA), which allowed the statistical study of that data. Age data were presented as mean ± SD; normality of age data was assessed by Shapiro–Wilk’s test. Since the assumption of normality was discarded, comparisons of age among groups were carried out by non-parametric test (Mann–Whitney U test and Kruskal–Wallis test). For comparing percentages, a chi-square test was used. A p-value < 0.05 was considered as statistically significant.
5
Inhaler Technique Evaluation in Asthma and COPD
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This analytical cross-sectional study was conducted at the Pulmonology Department, Hospital Central do Baixo Vouga, Portugal, in the first semester of 2013. Patients with an established diagnosis of asthma and COPD that were treated with at least one inhaler device including dry powder devices (DPI) and metered dose pressurized devices (pMDI), with or without a spacer device, were included by convenience sampling. Children up to 12 The inhalation technique was evaluated always by the same physician and using placebo or the patient`s own devices. Clinical Control was assessed before inhalation technique evaluation. All variables were evaluated at the same moment.
Data were treated in analytical statistics for comparison between quantitative variables and for association between qualitative variables, with parametric and non-parametric tests (ANOVA, Kruskal-Wallis and Fisher's exact test), through the computer system Microsoft Office Excel 2010 ® and IBM SPSS Statistics 20 ® . The normality distribution of quantitative variables was tested using Kolmogorov-Smirnov test and all subgroups were tested to ensure the homogeneity of variances, in order to use parametric tests.
Data were treated in analytical statistics for comparison between quantitative variables and for association between qualitative variables, with parametric and non-parametric tests (ANOVA, Kruskal-Wallis and Fisher's exact test), through the computer system Microsoft Office Excel 2010 ® and IBM SPSS Statistics 20 ® . The normality distribution of quantitative variables was tested using Kolmogorov-Smirnov test and all subgroups were tested to ensure the homogeneity of variances, in order to use parametric tests.
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