https://github.com/moindalvs/hypothesis_test_4
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
https://github.com/moindalvs/hypothesis_test_4
anova-test f-statistics hypothesis-testing
Last synced: about 2 months ago
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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
- Host: GitHub
- URL: https://github.com/moindalvs/hypothesis_test_4
- Owner: MoinDalvs
- Created: 2022-03-18T14:51:10.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-03-18T14:52:03.000Z (about 4 years ago)
- Last Synced: 2025-03-11T10:45:46.844Z (about 1 year ago)
- Topics: anova-test, f-statistics, hypothesis-testing
- Language: Jupyter Notebook
- Homepage:
- Size: 77.1 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Hypothesis_Test_4
# 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
