{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"mmlu","formal_name":"MMLU","introduction":"MMLU asks four-way multiple-choice questions across 57 subjects, from elementary material to professional-level examinations. Since 2020 it has been the most widely cited single reference point for general capability.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://github.com/hendrycks/test","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"8e13c6a0-b74a-53fc-add7-8f4db965251a","task_key":"all--test--8e13c6a0-b74a-53fc-add7-8f4db965251a","task_revision_id":"1","upstream_id":"","short_description":"Which of these explains why t should be used instead of z for inference…","config":"all","split":"test","body":"{\"choices\":\"['The Central Limit Theorem applies to proportions but not means.', 'We use z for proportions because proportions are approximately normal. Means are not.', 'We use z for proportions because the sampling distribution of sample proportions is approximately normal, but that is not the case for the sampling distribution of sample means.', 'When using the sample standard deviation to estimate the population standard deviation, more variability is introduced into the sampling distribution of the statistic.']\",\"question\":\"Which of these explains why t should be used instead of z for inference procedures for means.\",\"subject\":\"high_school_statistics\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://github.com/hendrycks/test","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}