percent of a sample being equal to or greater than

Since 2.54% (0.0254) is less than 5.00% (0.05), we would say this result is “significant.” This means there is a 2.54% chance your results could be random (i.e. For example, a p value of 0.0254 is 2.54%.

P values are expressed as decimals although it may be easier to understand what they are if you convert them to a percentage.A p-value greater than 0.05 is considered non-significant. In biology, a p-value of less than 0.05 is considered significant.The smaller the p-value, the stronger the evidence that the results are significant (not due to chance).p value = the probability value (p-value) is the probability of obtaining the sampling results due to chance.A significance level of 0.05 (the standard used in biology) indicates a 5% risk of concluding that a result is significant when it was actually due to chance. Significance level = the probability of saying a result is significant (not due to chance) when it actually was due to chance.“Not significant” = the results could have to have occurred due to chance.Ī few other key terms for inferential statistics:.“ Significant ” = the results are very un likely to have occurred due to chance.Inferential statistics are used to determine the probability of chance alone leading to your sampled results. Inferential statistics are mathematical calculations performed to determine if the results from your sample of data are likely due to chance or are a true representation of the population.

Percent of a sample being equal to or greater than