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Business Case: Brightfire Treadmill - Descriptive Statistics & Probability

🎯 Objective

The market research team at Brightfire wants to identify the characteristics of the target audience for each type of treadmill oMered by the company, to provide a better recommendation of the treadmills to new customers. The team decides to investigate whether there are diMerences across the product with respect to customer characteristics.

  1. Perform descriptive analytics to create a customer profile for each Brightfire treadmill product by developing appropriate tables and charts.
  2. For each Brightfire treadmill product, construct two-way contingency tables and compute all conditional and marginal probabilities along with their insights/impact on the business.

📚 About Data

The company collected the data on individuals who purchased a treadmill from the AeroFit stores during three months.The data is available in a single csv file

Product Portfolio

  • The KP281 is an entry-level treadmill that sells for USD 1,500.

  • The KP481 is for mid-level runners that sell for USD 1,750.

  • The KP781 treadmill is having advanced features that sell for USD 2,500.

Feature Description
Product Product Purchased: KP281, KP481, or KP781
Age Age of buyer in years
Gender Gender of buyer (Male/Female)
Education Education of buyer in years
MaritalStatus MaritalStatus of buyer (Single or partnered)
Usage The average number of times the buyer plans to use the treadmill each week
Income Annual income of the buyer (in $)
Fitness Self-rated fitness on a 1-to-5 scale, where 1 is the poor shape and 5 is the excellent shape
Miles The average number of miles the buyer expects to walk/run each week

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Business Case: Aerofit - Descriptive Statistics & Probability

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