Question

It's not an accurate representation of the whole product. Statistically, it isn't correct. To properly analyze the product, the data needs to be accurate to calculate the mean, median, mode, and standard deviation. It creates a flawed distribution. It goes against the fundamentals of a normal distribution. With inaccurate data, combining the two incomplete products will not accurately reflect the sample's actual population. If the sample product is large enough, it will also be normally distributed. As an auditor, I must evaluate the manufacturer's effectiveness in their internal and external processes, as well as the quality of their prod
ucts. Auditors also assess the costs of products. They need an accurate number of the products to determine the cost. When all the data is accurate, I can give recommendations on improvement in the product. write a simple response

Answer 1

You're right — incomplete or inaccurate data will distort the distribution and invalidate estimates like mean, median, mode, and standard deviation. To properly analyze the product, gather and verify the complete, accurate dataset (and only combine datasets that are compatible), then recalculate the descriptive statistics and test for normality. With reliable data, an auditor can fairly evaluate manufacturing processes, product quality, and costs and then make meaningful improvement recommendations. I can help validate the data and run the analysis if you’d like.