Answer: 0.025
Explanation:
The standard deviation for the sampling distribution of differences between the first sample proportion and the second sample proportion is given by :_

, where
= First population proportion.
= Second population proportion
= First sample size
= Second sample size
As per given , we have



Then ,




Hence, the standard deviation for the sampling distribution of differences between the first sample proportion and the second sample proportion (used to calculate the z score) is 0.025 .