{"id":27311703,"url":"https://github.com/priyanshgoantiya/confidence-interval-visualization","last_synced_at":"2026-05-01T06:31:57.784Z","repository":{"id":287161781,"uuid":"963810938","full_name":"priyanshgoantiya/confidence-interval-visualization","owner":"priyanshgoantiya","description":"Confidence Interval Simulation ","archived":false,"fork":false,"pushed_at":"2025-04-10T08:45:27.000Z","size":8,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-04T00:30:31.304Z","etag":null,"topics":["matplotlib","numpy","plotly","seaborn"],"latest_commit_sha":null,"homepage":"https://vqpmrhmqzpu6y5twsbinnm.streamlit.app/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/priyanshgoantiya.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null}},"created_at":"2025-04-10T08:41:40.000Z","updated_at":"2025-04-10T08:48:26.000Z","dependencies_parsed_at":"2025-04-12T06:32:05.950Z","dependency_job_id":null,"html_url":"https://github.com/priyanshgoantiya/confidence-interval-visualization","commit_stats":null,"previous_names":["priyanshgoantiya/confidence-interval-viz"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/priyanshgoantiya/confidence-interval-visualization","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyanshgoantiya%2Fconfidence-interval-visualization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyanshgoantiya%2Fconfidence-interval-visualization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyanshgoantiya%2Fconfidence-interval-visualization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyanshgoantiya%2Fconfidence-interval-visualization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/priyanshgoantiya","download_url":"https://codeload.github.com/priyanshgoantiya/confidence-interval-visualization/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/priyanshgoantiya%2Fconfidence-interval-visualization/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32487300,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"online","status_checked_at":"2026-05-01T02:00:05.856Z","response_time":64,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["matplotlib","numpy","plotly","seaborn"],"created_at":"2025-04-12T06:32:03.170Z","updated_at":"2026-05-01T06:31:57.779Z","avatar_url":"https://github.com/priyanshgoantiya.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# confidence-interval-viz\nDeployed-https://vqpmrhmqzpu6y5twsbinnm.streamlit.app/\n## 🧪 Confidence Interval Simulation\n\nThis interactive simulation helps visualize how different types of confidence intervals behave over multiple random samples from a normal distribution.\n\nYou can explore:\n- **Z-distribution using population standard deviation (σ)** — when population standard deviation is known.\n- **Z-distribution using sample standard deviation (s)** — less common, but for comparison.\n- **t-distribution using sample standard deviation (s)** — used when population standard deviation is unknown and sample size is small.\n\n### 🔍 How it works:\n- We simulate repeated sampling from a normal distribution.\n- For each sample, we compute a confidence interval for the mean.\n- If the interval captures the **true population mean**, it’s shown in **blue**; otherwise in **orange**.\n- The red horizontal line represents the **true population mean**.\n\nThis tool demonstrates how often confidence intervals actually capture the population mean depending on:\n- **Sample size**\n- **Confidence level**\n- **Distribution used (Z vs. T)**\n\nUse the sliders in the sidebar to tweak parameters and understand how uncertainty and variability influence confidence intervals.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpriyanshgoantiya%2Fconfidence-interval-visualization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpriyanshgoantiya%2Fconfidence-interval-visualization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpriyanshgoantiya%2Fconfidence-interval-visualization/lists"}