Answer:
Stratified random sampling.
Explanation:
In Statistics, Stratified random sampling can be defined as a method of sampling that involves dividing a population into smaller groups known as strata.
In stratified random sampling, the strata are formed based on member's shared characteristics (e.g female or male, occupation, education) or attribute (e.g black or white).
Tambra needed 60% females and 45% White participants to appropriately represent the gender and ethnicity groups in her data. Hence, she is interested in stratified random sampling type.