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194 protocols using spss 15

1

Student's t-test Statistical Analysis

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For statistical testing purposes, the Student's t-test was implemented in SPSS 15.0 software (IBM Corporation). P ≤ 0.05 was chosen as the cut-off point for statistical significance.
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2

Statistical Analysis of Experimental Data

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Statistical analysis of the data was carried out using SPSS 15.0 software (IBM, Chicago, IL). All results were reported as the mean ± standard deviation. One way analysis of variance followed by Student’s t test was conducted to compare statistical differences among the groups at a 5% significance level.
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3

Quantitative Analysis of Protein Expression

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Densitometry and quantitative analysis of images were performed using Image J 1.43 (NIH) software. Statistical analysis was performed using SPSS 15.0 software (IBM, Inc., Chicago, IL, USA) and STATA 12 software (StataCorp, TX, USA). Data are presented as mean ± SE. Means of (western blot analysis) data were compared using ANOVA with post hoc testing. Statistical comparisons of levels of BPDE-DNA adducts and TUNEL positivity among the groups were made using Poisson regression, which is specific for data representing counts or number of events and can handle cases in which few or no events occur. A p ≤ 0.05 was considered statistically significant.
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4

Adhesion Scoring Statistical Analysis

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Data were analyzed using SPSS 15.0 software (IBM Corporation, Armonk, NY, USA). Adhesion scores did not follow a normal distribution; therefore, statistical inferences were made using Mann–Whitney U-tests or the Fisher’s exact test. P<0.05 on a two-tailed test was considered statistically significant.
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5

Statistical Analysis of Experimental Data

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Data are presented as mean ± SEM. Statistical analyses were performed by two-tailed indirect Student's t-test or one-way anova with a post-hoc least significant difference test using SPSS 15.0 software (http://www-01.ibm.com/software/analytics/spss/). Differences were considered significant at a P < 0.05 level.
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6

Statistical Analysis of Experimental Data

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Data were analyzed using SPSS 15.0 software (IBM, USA) and presented as mean ± standard deviation. The difference between the two groups was determined using Student's t-test. A p value of <0.05 was identified as statistically significant.
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7

Polyphenol Content Analysis via ANOVA

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An analysis of variance (ANOVA) was performed by using SPSS 15.0 software version 22.0 (IBM Corp., Armonk, NY, USA). Tukey’s HSD test was used to compare the means considering a statistical significance at p < 0.05. The semilogaritmic equations (log y = bx + log bo) were obtained from the severity infection (m2) vs. polyphenol contents (g kg−1 gallic acid equivalent). The equation fit was quantified by the determination of r2 coefficient.
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8

Potato SNP Genotyping Protocol

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Genomic sequences flanking the targeted SNP were retrieved from the potato genome browser (http://potato.plantbiology.msu.edu/cgi-bin/gbrowse/potato/) [27 (link)] and used for primer design. Amplicons between 100 and 700 base pairs were generated from approximately 50 ng genomic DNA in 25 μl buffer (Ampliqon) including 1.5 mM MgCl2, 0.2 mM dNTPs, 1 μM of each primer (one biotinylated) and 1U Taq polymerase (Peqlab). Sequences, primers and PCR conditions are shown in Additional file 3. Pyrosequencing [34 (link)] and SNP calling was performed using pyromark gold Q96 reagent kits (Qiagen, Hilden, Germany) and a pyrosequencer PSQ96™ MA (Biotage AB, Uppsala, Sweden) according to the suppliers protocols. Linkage between SNPs and wart resistance loci was detected using the Kruskal–Wallis test and SPSS 15.0 software (IBM).
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9

Statistical Analysis of Fluorescent and qRT-PCR Data

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Fluorescent intensity and real time RT-PCR data were presented as mean ± standard deviation (SD) of the mean. Means among groups were analyzed with SPSS 15.0 software (IBM Corporation, Armonk, NY). Student t test was used for 2-group analysis with equal variances. If equal variance was not assumed, the Satterthwaite’s approximate t test was used for 2-group analysis. One-way ANOVA was employed for multiple groups’ comparison. Post hoc multiple comparisons were then performed to determine if a statistical significance was detected between groups. Fisher’s least significant difference (LSD) was used to compare group means when equal variances were present. If equal variances were not assumed, differences between group means were calculated by Tamhane’s T2 test. A P value smaller than 0.05 was considered statistically significant.
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10

Statistical Analysis of Research Data

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For statistical analysis, the Student’s t-test and two-tailed Chi-square test were implemented in SPSS 15.0 software (IBM Corporation). P ≤ 0.05 was chosen as the cut-off point for statistical significance.
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