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Excel 2016

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Excel 2016 is a spreadsheet software application developed by Microsoft. It provides users with a versatile tool for creating, organizing, and analyzing data in a tabular format. Excel 2016 offers a range of features and functions to assist users in performing various data-related tasks.

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7 protocols using excel 2016

1

Quantitative Analysis of Heavy Metal Translocation

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Data are expressed as means ± standard deviation of three independent replicates and statistically analyzed by analysis of variance (ANOVA) using SPSS software (v. 25.0). Duncan’s multiple comparison test was used to assess differences among treatments, and a p-value 0.05 was considered indicative of statistical significance. Figures and tables were generated using Excel 2016 and SigmaPlot 12.5 software. The translocation factor (TF), an indicator of the ability of plants to translocate As or Cd from roots to shoots, was calculated as the ratio of As or Cd concentration in shoots to roots (He et al., 2015 (link); Huang et al., 2021 (link)).
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2

Statistical Data Analysis Protocol

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All experimental data were collated using Microsoft Excel 2016 and plotted using SigmaPlot 12.5. One-way analysis of variance (one-way ANOVA) was performed using the SPSS 24.0 statistical software program with all test data and using a significance level threshold of 0.05 or 0.01.
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3

Investigating Bioactive Compounds in H. bogdanii

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All data in this paper were calculated by Excel 2016, mapped by Sigmaplot12.5, and Spss19 was used to analyze the significance of the difference. The effects of alkali treatment and endophytic fungi on the contents of phosphorus, polyphenols, flavonoids, and alkaloids, and the activities of polyphenol oxidase and acid phosphatase in H. bogdanii were detected by two-way ANOVA, The effects of different alkali treatment concentrations on the contents of phosphorus, polyphenols, flavonoids, and alkaloids, and the activities of polyphenol oxidase and acid phosphatase in H. bogdanii were detected by one-way ANOVA. An independent sample t-test was used to detect the differences in the contents of E + and E− phosphorus, polyphenols, flavonoids, and alkaloids, and the activities of polyphenol oxidase and acid phosphatase at the same alkali concentration.
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4

Statistical Analysis of Experimental Data

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Microsoft Excel 2016 and Sigmaplot 14.0 used for statistical analysis. The significance level was set at P < 0.05. The differences between the means were analyzed by two-tailed t-test. The number of animals examined per cohort is shown.
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5

Summer Black Grape Growth Analysis

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Microsoft Excel 2016, Sigmaplot 12.5, and AutoCAD 2007 were used for data processing and plotting. SPSS 19.0 statistical analysis software was used to test the significance of the differences among the growth index, yield, and quality of the 'Summer Black' grapes.
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6

Evaluating Transcriptional Responses

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The FASTX toolkit was used to read the clean sequences. Statistical analysis SPSS 19.0 software was used to perform one-way analysis of variance (ANOVA) to evaluate the difference between the plateau condition and the control treatment. ANOVA with Duncan's comparison was considered to show signi cant differences at the 5% level in all comparisons. At least three biological replicates of the controls and samples were used for each statistical analysis. Microsoft Excel 2016 was used for data analysis, and SigmaPlot was used to draw the graphs.
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7

Alkaline Treatment and Fungal Effects on Biochemical Profiles of H. bogdanii

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All data in this paper were calculated by Excel 2016, mapped by Sigmaplot12.5, and Spss19 was used to analyze the signi cance of the difference. The effects of alkali treatment and endophytic fungi on the contents of phosphorus, polyphenols, avonoids, and alkaloids, and the activities of polyphenol oxidase and acid phosphatase in H. bogdanii were detected by two-way ANOVA The effects of different alkali treatment concentrations on the contents of phosphorus, polyphenols, avonoids, and alkaloids, and the activities of polyphenol oxidase and acid phosphatase in H. bogdanii were detected by one-way ANOVA. An independent sample t-test was used to detect the differences in the contents of E+ and Ephosphorus, polyphenols, avonoids, and alkaloids, and the activities of polyphenol oxidase and acid phosphatase at the same alkali concentration.
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