{"id":15195543,"url":"https://github.com/tynab/inferential-statistics","last_synced_at":"2026-03-06T06:05:47.803Z","repository":{"id":219992104,"uuid":"750467930","full_name":"Tynab/Inferential-Statistics","owner":"Tynab","description":"CyberSoft Machine Learning 03 - Inferential Statistics","archived":false,"fork":false,"pushed_at":"2025-01-15T07:34:28.000Z","size":484,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-26T05:49:41.348Z","etag":null,"topics":["anaconda","anaconda-navigator","cybersoft","cybersoft-academy","inferential-statistics","ipynb","jupyter-notebook","machine-learning","machine-learning-03","matplotlib","ml","ml-03","numpy","pandas","py","python","scikit-learn","scipy","seaborn","sklearn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Tynab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null},"funding":{"github":"tynab","patreon":"yamiannephilim","open_collective":null,"ko_fi":null,"tidelift":null,"community_bridge":null,"liberapay":null,"issuehunt":null,"otechie":null,"lfx_crowdfunding":null,"polar":null,"custom":"paypal.me/yamiannephilim"}},"created_at":"2024-01-30T17:45:56.000Z","updated_at":"2025-01-15T07:34:29.000Z","dependencies_parsed_at":"2024-02-21T20:47:59.730Z","dependency_job_id":null,"html_url":"https://github.com/Tynab/Inferential-Statistics","commit_stats":null,"previous_names":["tynab/inferential-statistics"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tynab%2FInferential-Statistics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tynab%2FInferential-Statistics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tynab%2FInferential-Statistics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tynab%2FInferential-Statistics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Tynab","download_url":"https://codeload.github.com/Tynab/Inferential-Statistics/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241459484,"owners_count":19966510,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["anaconda","anaconda-navigator","cybersoft","cybersoft-academy","inferential-statistics","ipynb","jupyter-notebook","machine-learning","machine-learning-03","matplotlib","ml","ml-03","numpy","pandas","py","python","scikit-learn","scipy","seaborn","sklearn"],"created_at":"2024-09-27T23:41:11.676Z","updated_at":"2026-03-06T06:05:46.538Z","avatar_url":"https://github.com/Tynab.png","language":"Jupyter Notebook","funding_links":["https://github.com/sponsors/tynab","https://patreon.com/yamiannephilim","paypal.me/yamiannephilim"],"categories":[],"sub_categories":[],"readme":"# BÀI TẬP\nKiểm định giả thuyết không có sự khác nhau về điểm trung bình giữa học sinh tham gia và không tham gia bài kiểm tra trước khoá học. Lựa chọn $\\alpha$ = 0.05.\n1. Hãy thực hiện theo ít nhất 1 trong những cách sau: sử dụng công thức (nếu được, tham khảo [Wikipedia](https://en.wikipedia.org/wiki/Student%27s_t-test#Equal_or_unequal_sample_sizes,_unequal_variances_(sX1_%3E_2sX2_or_sX2_%3E_2sX1))) và sử dụng thư viện.\n2. Vẽ phân bố xác suất tương ứng và vị trí của các điểm statistic và critical.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftynab%2Finferential-statistics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftynab%2Finferential-statistics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftynab%2Finferential-statistics/lists"}