Answer: D. Stratified
Explanation:
In the case of stratified sampling the samples are divided into parts or groups and then samples for study are randomly chosen from these groups or parts. Here Kerikeri has divided up her day into three parts and she selects the blood pressure randomly from these parts. This is the example of stratified sampling.