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Prism statistical analysis

Manufactured by GraphPad

PRISM is a statistical analysis software designed for scientific data analysis and graphing. It provides a wide range of statistical tests and tools to help researchers analyze their data. PRISM offers a user-friendly interface and supports various data types, including time-series, dose-response, and survival data.

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Lab products found in correlation

4 protocols using prism statistical analysis

1

Statistical Analysis of Experiment Outcomes

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Differences were statistically analyzed using Student's t-test or one-way ANOVA followed by Bonferroni post-tests by PRISM statistical analysis software (GraphPad Software, San Diego, CA). The data are presented as the mean ± SEM. Significance is indicated as follows: *P < 0.05; n.s. for not significant.
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2

Statistical Analysis of Group Differences

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Statistical analysis was performed to assess the difference between two groups under multiple conditions by one-way analysis of variance (ANOVA) using PRISM statistical analysis software (GraphPad Software, Inc., San Diego, CA). The Student's test was performed to assess the difference between two groups in these studies and differences were considered significant at *p < 0.05, **p < 0.01 or ***p < 0.001.
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3

Statistical Analysis of Experimental Data

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The statistical analysis assessing differences was performed using an unpaired Student's t-test, Multiple t test- one per row or two-way ANOVA followed by multiple comparisons by Prism statistical analysis software (GraphPad Software, San Diego, CA). The data are presented as the mean ± SD. Significance is indicated as follows: ** P < 0.01, * P < 0.05 or n.s. for not significant.
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4

Comparative Analysis of Cellular Responses

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All results are presented as the mean ± standard error of mean (S.E.M.). Statistical analysis was performed using the Prism statistical analysis program (GraphPad 6.0). Kruskal-Wallis one-way ANOVA test was used for statistical comparisons of 3 or more groups. Two-tailed unpaired Student’s t-test was used for statistical comparisons of two groups. P < 0.05 was considered significant for all tests. Statistical significance is presented as *P < 0.05; **P < 0.01; and ***P < 0.001.
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