Is a p-value of >0.05 ever used in greenhouse tests?
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In greenhouse tests, a p-value of >0.05 is sometimes utilized, but its interpretation is crucial. The p-value, a widely used statistical measure, is often misinterpreted. It represents the probability of observing data as extreme as, or more extreme than, the actual data, assuming the null hypothesis is true . Additionally, in the context of greenhouse experiments, methods for predicting temperature extremes involve complex statistical models like the least square support vector machine regression model, which optimize parameters to forecast extreme values accurately . Furthermore, when evaluating resistance levels of cotton cultivars to whitefly colonization in greenhouses, statistical significance (P = 0.05) was used to identify differences in susceptibility among different cultivars . Therefore, while a p-value >0.05 can be employed in greenhouse tests, its correct interpretation and application within the specific experimental context are essential.
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| In the greenhouse test evaluating resistance to bandedwinged whitefly, a p-value of 0.05 was used to determine significantly lower levels of whitefly colonization in one foreign cotton cultivar. | |
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