A researcher obtains the following p-values for sample correlation coefficients of different samples. Which of these can be considered significant at the 1% level of significance?

At the 1% level a p-value must be below 0.01, so 0.004 and 0.001 qualify as significant.

The values 0.004 and 0.001 are both smaller than 0.01, crossing the stricter threshold.

A p-value of 0.99 is far above 0.01, showing no significance.

A p-value of 0.995 is likewise far too large to be significant.

A p-value of 0.1 exceeds even the 5% level and fails at 1%.

A smaller p-value means stronger evidence against the null hypothesis.