Final answer:
The p-value is a measure of the strength of evidence against the null hypothesis in a statistical test. For 100 attributes with a p-value of 2% each, there is a 2% probability of obtaining the observed results (or more extreme results) if the null hypothesis is true.
Step-by-step explanation:
The p-value is a measure of the strength of evidence against the null hypothesis in a statistical test. In this case, if you have 100 attributes with a p-value of 2% each, it means that there is a 2% probability of obtaining the observed results (or more extreme results) if the null hypothesis is true. This suggests that there is some evidence against the null hypothesis for each attribute.