chi2-contingency
There are 1 repository under chi2-contingency topic.
vaitybharati / Assignment-03-Q3-Hypothesis-Testing-
Chi2 contengency independence test. Assume 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)
Language:Jupyter Notebook 2Abhik35 / Assignments-Hypothesis-Testing-BuyerRatio
Sales of products in four different regions is tabulated for males and females. Find if male-female buyer rations are similar across regions.
Language:Jupyter Notebook 1astonglen / Statistical-Methods-Project
Performed rigorous preprocessing, and data cleaning, and conducted exploratory data analysis to identify trends, patterns, and outliers, leading to valuable insights. Employed various statistical methods concepts to get insights about the data for prediction.
Language:Jupyter Notebook 1BalajiN743 / Hypothesis-Testing-EXamples
Hypothesis testing examples
Language:Jupyter Notebook 1MarvinEdorh / Data-Mining
UX Analytics & A/B Testing
Language:Python 1MoinDalvs / Hypothesis_test_3
Sales of products in four different regions is tabulated for males and females. Find if male-female buyer rations are similar across regions
Language:Jupyter Notebook 1Hypothesis for Data Science
Language:Jupyter Notebook 1Chi2 contengency independence test. Q4. 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.
Language:Jupyter Notebook 1Chi2 contengency independence test. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis.
Language:Jupyter Notebook 1Hypothesis-Testing-Chi2-Test-Athletes-and-Smokers. Assume Null Hypothesis as Ho: Independence of categorical variables (Athlete and Smoking not related). Thus Alternate Hypothesis as Ha: Dependence of categorical variables (Athlete and Smoking is somewhat/significantly related). As (p_value = 0.00038) < (α = 0.05); Reject Null Hypothesis i.e. Dependence among categorical variables Thus Athlete and Smoking is somewhat/significantly related.
Language:Jupyter Notebook 1Hypothesis-Testing-Chi2-Test-Human-Gender-and-Choice-of-Pets. Assume Null Hypothesis as Ho: Human Gender and choice of pets is independent and not related. Thus Alternate Hypothesis as Ha : Human Gender and choice of pets is dependent and related. As (p_valu=0.1031) > (α = 0.05); Accept Null Hypothesis i.e Independence among categorical variables. Thus, there is no relation between Human Gender and Choice of Pets.
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mjchimbadzwa / Customer-service-requests-analysis-Simplilearn
This assessment project at Simplilearn equipped me with data manipulation, exploratory data analysis (EDA), and statistical analysis skills using Python.
Language:Jupyter Notebook 0parkernisbet / game-ab-testing
A/B testing impact of progression system changes on player retention / interaction. Non-parametric hypothesis testing and power transformations for non-normally distributed data.
Language:Jupyter Notebook 0pedramsafaeifar / Ad_Clicks___AB_Testing
Testing the performance of two distinct ads using hypothesis testing tools and other relevant modules.
Language:Jupyter Notebook 0rushikeshw791 / Hypothesis-testing-2
Chi2 contengency independence test. Assume 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/si…
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
shwetapardhi / Assignment-03-Q4-Hypothesis-Testing
Chi2 contengency independence test Q4. 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
Language:Jupyter Notebook 0Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
Language:Jupyter Notebook 0TeleCall 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
Language:Jupyter Notebookdata-becki / NBA-Trends-Project
Using pearsonr and chi2_contingency from scipy stats to analyze data from the NBA (National Basketball Association) and explore possible associations.
Language:Jupyter Notebookfennywijaya / Model-Fitness-Segmentation
Create customer segmentation from a fitness franchise customer data using machine learning algorithms, submitted as project during course in Practicum Indonesia.
Language:Jupyter Notebooklmizner / codecademy_nba_trends
Investigate whether there is an association between two variables
Language:Jupyter NotebookMvMukesh / EmployesEarning-DeepAnalysis_Prediction
What important conclusion a company and an employee can take out of Analysis and Predicting Salary
Language:HTMLPatilSukanya / Assignment-3-Hypothesis-Testing
Used libraries and functions as follows:
Language:Jupyter NotebookChi2 contengency independence test. Q4. 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 a…
Language:Jupyter NotebookChi2 contengency independence test image of Buyer Ratio Assume 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 v
Language:Jupyter Notebookthedatanerdz / MLP-30
A/B testing projects
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