\( 1 \leftarrow \begin{array}{l}\text { Determine whether the sampling method described below appears to be sound or is flawed. } \\ \text { In a survey of } 634 \text { human resource professionals, each was asked about the importance of the education of a job applicant. The survey subjects were randornly selected by pollsters from a reputable } 1 \text { point(s) possible } \\ \text { market research firm. }\end{array} \)

The sampling method described appears to be sound because the survey subjects were randomly selected, which helps ensure that the sample is representative of the larger population of human resource professionals. Random sampling reduces bias and increases the validity of the results, making the findings more reliable when drawing conclusions about the importance of education for job applicants. However, it's essential to consider the size and diversity of the sample. Although 634 participants is a sizeable group, the results can still be influenced by the specific demographics of the selected professionals, such as their industries or geographic locations. Ensuring a well-rounded sample across various sectors and backgrounds would add even more credibility to the survey outcomes.