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it would be with a level of significance of 0.15.
The connotation 'statistical significance' takes into account the number of samples as well level of confidence in making a conclusion based on these samples. The level of confidence is typically denoted as 1-alpha (1 minus alpha), where alpha is basically the chance that the reported conclusion will incorrect. The most popular level of confidence is 95%, which coincides with a 5% alpha, meaning that when one makes a conclusion based on a particular sample, there is a 5% chance of a false or incorrect conclusion.
Confidence level 99%, and alpha = 1%.
95% confidence level is most popular
P- value is the probability that the given null hypothesis is true and the level of significance is the chance in a hundred or thousand off occurence of an event i an outcome