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A study is done to determine the average tuition that San Jose State undergraduate students pay per semester. Each student in the following samples is asked how much tuition he or she paid for the Fall semester. What is the type of sampling in each case? a) A sample of 100 undergraduate San Jose State students is taken by organizing the students' names by classification (freshman, sophomore, junior, or senior), and then selecting 25 students from each.

Ask by Stanley Kelly. in Ghana
Jan 27,2025

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They used stratified sampling by dividing the students into classifications and selecting an equal number from each group.

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The sampling method described involves dividing the population of undergraduate students into distinct groups based on their classification (freshman, sophomore, junior, senior) and then selecting an equal number of students (25) from each group. This approach ensures that each classification is adequately represented in the sample. **This method is known as **stratified sampling**.** **Stratified Sampling:** This technique involves dividing the population into homogeneous subgroups (strata) and then taking a sample from each stratum. It ensures that each subgroup is represented proportionally in the overall sample, which can lead to more accurate and reliable results compared to simple random sampling, especially when there are significant differences between strata. **Answer:** They used stratified sampling by dividing and selecting equal numbers from each student classification.

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This sampling method is known as stratified sampling. By organizing students by classification and then selecting an equal number from each group, the researcher ensures that the sample accurately reflects the diversity of tuition rates across different levels of students. This approach is beneficial for gaining insights into how tuition may vary among different classifications. b) A sample of 100 undergraduate San Jose State students is taken by randomly selecting students from the entire student population without regard to classification. This sampling technique is called simple random sampling. By selecting students without considering their classification, each student has an equal chance of being chosen, which helps to minimize bias and enhances the generalizability of the results. This method is particularly effective in capturing a representative cross-section of the entire undergraduate population.

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