A Case Study Probability and Statistics

Probability and Statistics

Sears’ Bamboo fabric was used for advertising its products with the running tag “100% pure bamboo.” This assertion was false since statistically, it is impossible to deliver finished clothing products made out of one material at 100%. The process of converting bamboo stalks into fiber involves the treatment of the wood with chemicals that eventually are retained as a component compound in the material produced from the treatment process (Rae, 2017). The final product, assuming Sears’ Bamboo fabric did rely on bamboo fabrics in their production, clothes would not statistically be purely made of cotton. Even after the process that rids the bamboo material of initial treatment, there are outliers in each batch that may result in the impurities in the clothes.

Testing a sample of clothes by Sears’ Bamboo fabric would reveal that there were cases of impurities that would mean their assertion that their clothes are made of 100% bamboo inaccurate. In any statistical distribution, some outliers stand out of the normal distribution. These often appear as measures of standard divisions. The more outliers there are, the more unevenly distributed the sample selected is (Malik, 2019). Further, the probability of undergoing the cloth manufacturing process without using any other materials is closer to nil since the process of mending garments involves many adjourning components that cannot be all manufactured using pure bamboo products, such as buttons.

The feasibility of using pure bamboo products fiscally is unlikely to make suitable margins since more bamboo would be required, or the manufactured clothes would have heuristic challenges for the wearers. All these factors lower the probability of the material used by the firm to manufacture cloths to be purely bamboo (Rae, 2017). Further, the FTC disputed these allegations, and Sears’ Bamboo fabric was found to violate the Textile Products Identification Act.