Topic: chi2-contingency Goto Github
Some thing interesting about chi2-contingency
Some thing interesting about chi2-contingency
chi2-contingency, 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
User: abhik35
chi2-contingency,Sales of products in four different regions is tabulated for males and females. Find if male-female buyer rations are similar across regions.
User: abhik35
chi2-contingency,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.
User: astonglen
chi2-contingency,Hypothesis testing examples
User: balajin743
chi2-contingency,Проекты по статистике
User: belladzhu
chi2-contingency,Using pearsonr and chi2_contingency from scipy stats to analyze data from the NBA (National Basketball Association) and explore possible associations.
User: data-becki
chi2-contingency,Create customer segmentation from a fitness franchise customer data using machine learning algorithms, submitted as project during course in Practicum Indonesia.
User: fennywijaya
chi2-contingency,Investigate whether there is an association between two variables
User: lmizner
chi2-contingency,UX Analytics & A/B Testing
User: marvinedorh
chi2-contingency,This assessment project at Simplilearn equipped me with data manipulation, exploratory data analysis (EDA), and statistical analysis skills using Python.
User: mjchimbadzwa
chi2-contingency,Sales of products in four different regions is tabulated for males and females. Find if male-female buyer rations are similar across regions
User: moindalvs
chi2-contingency,Hypothesis for Data Science
User: moindalvs
chi2-contingency,What important conclusion a company and an employee can take out of Analysis and Predicting Salary
User: mvmukesh
chi2-contingency,A/B testing impact of progression system changes on player retention / interaction. Non-parametric hypothesis testing and power transformations for non-normally distributed data.
User: parkernisbet
chi2-contingency,Used libraries and functions as follows:
User: patilsukanya
chi2-contingency,Testing the performance of two distinct ads using hypothesis testing tools and other relevant modules.
User: pedramsafaeifar
chi2-contingency,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…
User: rushikeshw791
chi2-contingency,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 a…
User: rushikeshw791
chi2-contingency,Bayesian Network - University Project Report
User: sciapponi
chi2-contingency,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
User: shwetapardhi
chi2-contingency,Chi2 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
User: shwetapardhi
chi2-contingency,Chi2 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
User: shwetapardhi
chi2-contingency,OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.
User: sultanazhari
chi2-contingency,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)
User: vaitybharati
chi2-contingency,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% significance level and help the manager draw appropriate inferences.
User: vaitybharati
chi2-contingency,Chi2 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.
User: vaitybharati
chi2-contingency,Hypothesis-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.
User: vaitybharati
chi2-contingency,Hypothesis-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.
User: vaitybharati
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