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Excel 2020

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Excel 2020 is a spreadsheet software application that provides users with a range of tools for organizing, analyzing, and visualizing data. It offers a grid-based interface for inputting and manipulating numeric and textual information, with capabilities for performing various calculations, creating charts and graphs, and automating repetitive tasks.

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Lab products found in correlation

Spss v18, by IBM (1 mentions) Originpro 2020, by OriginLab (1 mentions) Spss version 26, by IBM (1 mentions) Spss statistics program, by IBM (1 mentions) Spss 25, by IBM (1 mentions) Origin 2022, by OriginLab (1 mentions) Spss v26, by IBM (1 mentions) Spss statistics 27, by IBM (1 mentions)

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Excel software-2020). (2 citations) Office Excel 2020 (2 citations)

20 protocols using excel 2020

1

Statistical Analysis of Experimental Data

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The data were collected and organized using Microsoft Excel 2020, and statistical analysis was conducted using SPSS 26.0 software.
For measurement data, the mean ± standard deviation was used depending on the normality test results. Independent sample t-tests, one-way ANOVA or nonparametric tests were employed for comparison between groups, and linear regression was used for multifactor analysis.
Count data were presented as the number of cases (percentage), and the chi-square test was used for group comparison. Multifactor analysis was performed using logistic regression. A two-sided p < 0.05 was considered statistically significant for all tests.
Ye S., Liu Y., Zhao X., Ma Y, & Wang Y. (2023). Hydroxychloroquine improves pregnancy outcomes of women with positive antinuclear antibody spectrum test results. Frontiers in Medicine, 10, 1113127.
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2

Cerebrovascular Disease Nursing Questionnaire

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Questionnaires were distributed by highly trained postgraduate students studying the field of cerebrovascular disease nursing. All data entry was performed by a designated person and checked by two persons. The Excel 2020 and SPSS 20.0 software were used for data entry and statistics. The questionnaire data were entered and removed on the same day; following data entry, all information was confirmed by checking the rationality and logic and rechecking the original scales.
Han C., Zhang L, & Liu J. (2022). Development and Reliability Testing of the Stroke Patient Protection Motivation Scale. Neuropsychiatric Disease and Treatment, 18, 1341-1349.
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3

ANOVA-based Multiannual Data Analysis

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Data were processed using Microsoft Excel 2020 and SPSS20.0. One-way ANOVA was performed, and means were compared using the least significant difference at the 0.05 probability level. The results of 2021 and 2022 were similar. Therefore, the data were presented as the average across the two study years, and the data of both years were deposited as Supplementary Data.
Tang L., Tang J., Huang K, & Huang X. (2024). Potassium fertilizer promotes the thin-shelled Tartary buckwheat yield by delaying senescence and promoting grain filling. Frontiers in Plant Science, 15, 1385548.
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4

Comparative Analysis of Data Trends

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Microsoft Excel 2020 and SPSS v18.0 software were used for data analysis. Differences between groups were tested using one-way analysis of variance (ANOVA), followed by Duncan’s multiple comparison test at p < 0.05.
Li Y., Hu Z., Dong Y, & Xie Z. (2023). Overexpression of the cotton trihelix transcription factor GhGT23 in Arabidopsis mediates salt and drought stress tolerance by binding to GT and MYB promoter elements in stress-related genes. Frontiers in Plant Science, 14, 1144650.
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5

Statistical Analysis of Antibody Titers

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Excel 2020, SPSS Statistics 21 and Graphpad Prism v8.0 were utilized to perform statistical processing and analyses of the data. Geometric mean titer (GMT) and their 95% confidence intervals (95% CI) were calculated, converted to the logarithmic scale and analyzed by using one-way ANOVA, considering p < 0.05 as a statistically significant difference.
Liu P., Yuan Y., Cui B., Huo Y., Bian L., Chen L., Liu S., Wang C., Xu Y., Tedcastle A., Gao F., Mao Q., Martin J, & Liang Z. (2021). Cross-Antigenicity between EV71 Sub-Genotypes: Implications for Vaccine Efficacy. Viruses, 13(5), 720.
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6

Data Analysis Using Excel, SPSS, and Origin

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The experimental data were processed, and graphs were drawn using Excel 2020, SPSS 19.0, Origin 2021, and other software.
Li J., Liu Y., Gao Y., Li X, & Gong Y. (2023). Study on the Extraction Method of Microplastic System in Textile Wastewater. Polymers, 15(6), 1394.
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7

Continuous Blood Glucose Monitoring

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The experimental data were initially collated using Excel 2020, then analyzed using SPSS 20.0 software (Ver. 20.0 for Windows, SPSS, Inc., Chicago, IL). In the continuous blood glucose monitoring test, a randomized block ANOVA analysis for repeated measures, with a 4 × 9 factorial structure, was performed to investigate the effects of the 4 dietary treatment factors (starch sources) at 9 time points, and any interactions. Tukey's test was applied to indicate significant differences between treatments (P < 0.05). The results of the data analysis are presented as mean and standard error.
Xu C., Yang Z., Yang Z.F., He X.X., Zhang C.Y., Yang H.M., Rose S.P, & Wang Z.Y. (2022). Effects of different dietary starch sources on growth and glucose metabolism of geese. Poultry Science, 102(2), 102362.
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8

Linear Data Fitting and Statistical Analysis

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The experimental data were conducted using Excel 2020 and SPSS 26 software, and the experimental data were linearly fitted and plotted with origin 2018 software. Each group of experiments was repeated three times, and the mean and standard deviation of the results were calculated. One-way ANOVA was performed using Duncan’s multiple comparison test.
Wang T., Ying X., Zhang Q., Xu Y., Jiang C., Shang J., Zang Z., Wan F, & Huang X. (2023). Evaluation of the Effect of Ultrasonic Pretreatment on the Drying Kinetics and Quality Characteristics of Codonopsis pilosula Slices Based on the Grey Correlation Method. Molecules, 28(14), 5596.
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9

Statistical Analysis of Experimental Data

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Statistical data analyses were performed using Excel 2020 and SPSS 26.0 software. One-way analysis of variance (ANOVA) was used to test for significant differences between groups of data, while Duncan’s method was used for multiple comparisons. p-value <0.05 indicated significant differences between groups.
Xia M., LI C., Wu D., Wu F., Kong L., Jia Z., Han W., Chen S., Fang W., Liu Y, & Chen B. (2024). Benefits of heat-killed Lactobacillus acidophilus on growth performance, nutrient digestibility, antioxidant status, immunity, and cecal microbiota of rabbits. Frontiers in Veterinary Science, 11, 1361908.
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10

Quantitative Data Analysis Protocols

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All data were entered and analyzed in Microsoft Excel 2020 and Statistical Package for the Social Sciences (SPSS) software, version 20.0, respectively. Qualitative variables were expressed in terms of percentages. McNemars Chi-square test was used for association; the significance level was set at 0.001 and all the results were tailed.
Ratta A.K, & Meshram P.D. (2020). Study of determinants of immunization status among under-five children attending OPD in a rural health center of the tertiary health care institute. Journal of Family Medicine and Primary Care, 9(6), 2724-2729.
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