{"id":26052580,"url":"https://github.com/patilsukanya/assignment-3-hypothesis-testing","last_synced_at":"2026-04-10T17:02:22.069Z","repository":{"id":139454555,"uuid":"532861838","full_name":"PatilSukanya/Assignment-3-Hypothesis-Testing","owner":"PatilSukanya","description":"Used libraries and functions as follows:","archived":false,"fork":false,"pushed_at":"2022-09-05T11:51:52.000Z","size":30,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-23T13:38:07.822Z","etag":null,"topics":["alternate-hypothesis","annova","chi2-contingency","contingency-analysis","ftest","hypothesis-testing","norm","null-hypothesis","numpy","numpy-arrays","pandas","pvalue","python","scipy","significance-testing","stats"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"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/PatilSukanya.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"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}},"created_at":"2022-09-05T11:02:20.000Z","updated_at":"2022-09-05T11:51:29.000Z","dependencies_parsed_at":null,"dependency_job_id":"6210ba38-b3fb-4f23-b14d-6ef0b0d31f29","html_url":"https://github.com/PatilSukanya/Assignment-3-Hypothesis-Testing","commit_stats":null,"previous_names":["patilsukanya/assignment-3-hypothesis-testing"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatilSukanya%2FAssignment-3-Hypothesis-Testing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatilSukanya%2FAssignment-3-Hypothesis-Testing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatilSukanya%2FAssignment-3-Hypothesis-Testing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatilSukanya%2FAssignment-3-Hypothesis-Testing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PatilSukanya","download_url":"https://codeload.github.com/PatilSukanya/Assignment-3-Hypothesis-Testing/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242512383,"owners_count":20141390,"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":["alternate-hypothesis","annova","chi2-contingency","contingency-analysis","ftest","hypothesis-testing","norm","null-hypothesis","numpy","numpy-arrays","pandas","pvalue","python","scipy","significance-testing","stats"],"created_at":"2025-03-08T06:41:08.529Z","updated_at":"2025-12-30T22:56:45.486Z","avatar_url":"https://github.com/PatilSukanya.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Assignment-3-Hypothesis-Testing\n### Question-1:\nA F\u0026B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validity of the assumptions. Cutlets.csv\n\nAssume Null hyposthesis as Ho: μ1 = μ2 (There is no difference in diameters of cutlets between two units).\n\nThus Alternate hypothesis as Ha: μ1 ≠ μ2 (There is significant difference in diameters of cutlets between two units) 2 Sample 2 Tail test applicable\n\n### Question-2:\nAnova ftest statistics\n\nA hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine whether there is any difference in average TAT among the different laboratories at 5% significance level.\n\nAnova ftest statistics: Analysis of varaince between more than 2 samples or columns Assume Null Hypothesis Ho as No Varaince: All samples TAT population means are same\n\nThus Alternate Hypothesis Ha as It has Variance: Atleast one sample TAT population mean is different\n\n### Question-3:\n\nChi2 contengency independence test\n\n![115687291-a800ea00-a377-11eb-97fe-d6d423e9f253](https://user-images.githubusercontent.com/110719731/188441088-eb3ba4ad-4e5e-4173-baac-f7f5c71270a9.png)\n\nAssume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does vary and somewhat/significantly related)\n\nInference: As (p-value = 0.6603) \u003e (α = 0.05); Accept the Null Hypothesis i.e. Independence of categorical variables Thus, male-female buyer rations are similar across regions and are not related\n\n### Question-4:\nChi2 contengency independence test\n\nQ4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5% significance level and help the manager draw appropriate inferences.\n\nAssume Null Hypothesis as Ho: Independence of categorical variables (customer order forms defective % does not varies by centre) Thus, Alternative hypothesis as Ha Dependence of categorical variables (customer order forms defective % varies by centre)\n\nInference: As (p_value = 0.2771) \u003e (α = 0.05); Accept Null Hypthesis i.e. Independence of categorical variables Thus, customer order forms defective % does not varies by centre.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatilsukanya%2Fassignment-3-hypothesis-testing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpatilsukanya%2Fassignment-3-hypothesis-testing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatilsukanya%2Fassignment-3-hypothesis-testing/lists"}