In stratified random sampling, the population is first segmented into distinct groups or strata based on specific criteria such as gender, age, or income level. Each stratum represents a subset of the population sharing similar characteristics. From each identified stratum, individuals are then randomly selected in numbers proportional to their representation in the overall population. For example, if we need a sample of 50 customers from a retail store's base of 2100 customers divided into two strata (1200 women and 900 men), we would randomly select approximately 29 women and 21 men. Once selected, these individuals are contacted through various means like phone, email, or mail to invite them to participate in the survey. During this invitation, they are briefed on the survey's purpose, the nature of their involvement, and any relevant details to ensure informed participation. This method ensures that the sample accurately represents the diversity within the population, enabling more reliable insights and conclusions from the survey data. is this right