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Hi There, I study research questions and hypothesis testing. I created a research question and null / alternative hypothesis, then used the ANOVA two -
Hi There,
I study research questions and hypothesis testing. I created a research question and nullalternative hypothesis, then used the ANOVA twoway test, but the professor referred to creating a proportion test to apply. I need help how to apply the proportion test in Python function for the Research Questions and Hypotheses:
GST Impact on Product Categories:
Research Question RQ : How does the GST percentage vary across different product categories, and what is the potential impact on sales?
Null Hypothesis H: There is no significant difference of GST percentage variations across different product categories on sales in the population of interest.
Alternative Hypothesis Ha: There is a significant difference of GST percentage variations across different product categories on sales in the population of interest.
I added the dataset taxamount detail.
Table : Online Sales Data description of listings, variables name, and variables' type.
Variable Type of Variable Description
CustomerID Nominal Unique identifier for customers.
TransactionID Numerical Discrete Unique transaction identifier.
TransactionDate Numerical Temporal Date of the transaction.
ProductSKU
Nominal
Unique ID for products sold.
ProductDescription Nominal Description of the product.
ProductCategory Nominal Categorization of products.
Quantity Numerical Discrete Number of items purchased in a transaction.
AvgPrice Numerical Continuous Average price per quantity.
DeliveryCharges Numerical Continuous Cost associated with delivery.
CouponStatus Nominal Indicates if a discount coupon was applied.
Table : Tax Amount Data description of listings, variables name, and variables' type.
Variable Type of Variable Description
ProductCategory Nominal Product category.
GST Numerical Continuous Percentage of Goods and Services Tax applied to each category.
My question is how to apply the proportion test to write the Python function for the above hypothesis test.
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