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

Pulling 50 names from a hat would be classified as a Simple Random sampling method. This example perfectly illustrates the essence of randomness since every student has an equal chance of being selected, making it a classic method for unbiased sampling. Separating all students by grade level and selecting 10 students from each grade exemplifies Stratified sampling. This approach ensures representation across different groups, allowing researchers to capture a more comprehensive view of the population's dynamics, such as how different grades may influence certain behaviors or attitudes.