Match the name of the sampling method descriptions given. Situations \( \square \) pulling 50 names from a hat \( \square \) separating all students by grade level, and selecting 10 students from each grade \( \square \) ask all the students in your math class \( \square \) choosing every 5 th person on a list \( \square \) dividing by population by voting precinct, and sampling everyone in the precints selected Sampling Method a. Simple Random b. Convenience c. Stratified d. Systematic e. Cluster

1. For "pulling 50 names from a hat": - Every individual has an equal chance of being selected, which is characteristic of a simple random sample. - **Answer:** \( a. \text{Simple Random} \) 2. For "separating all students by grade level, and selecting 10 students from each grade": - The population is divided into mutually exclusive subgroups (strata) and a sample is taken from each, which defines stratified sampling. - **Answer:** \( c. \text{Stratified} \) 3. For "ask all the students in your math class": - Choosing a sample based on ease of access (the students you already have in your math class) is typical of convenience sampling. - **Answer:** \( b. \text{Convenience} \) 4. For "choosing every 5th person on a list": - The method of selecting every \(5\)th individual from a list is an example of systematic sampling. - **Answer:** \( d. \text{Systematic} \) 5. For "dividing by population by voting precinct, and sampling everyone in the precincts selected": - Dividing the population into natural clusters (voting precincts) and then sampling all individuals within selected clusters is known as cluster sampling. - **Answer:** \( e. \text{Cluster} \)