A researcher is studying the experiences of freelance graphic designers. Since it is difficult to find them, she asks one designer to refer her to others who might be interested in participating. - Snowball Sampling, A company wants to evaluate employee satisfaction in its five branches. Instead of selecting individual employees from each branch, it randomly chooses two branches and surveys all employees within those branches. - Cluster Sampling, A university researcher wants to know students’ opinions on a new grading system. She divides the students into year levels (freshmen, sophomores, juniors, seniors) and randomly selects participants from each group. - Stratified Sampling, A marketing student needs quick feedback on a new product idea, so she surveys her classmates because they are the easiest to reach. - Convenience Sampling, A school administrator wants to select 50 students for a survey. He assigns a number to each student and uses a random number generator to pick the participants.5. - Simple Random Sampling,

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