M&ms color distribution Essay Example | Topics and Well Written Essays - 500 words

M&ms food colour distri besidesion - Essay ExampleThe color of the candies has changed over the years depending on the market demands and other issues. For instance, the florid color had been eliminated in the year 1976 after it was believed that it contained components that could cause cancer. It was replaced by orange color but it was after returned to the shelves after it was discovered that it was not after all carcinogenic. Each flavor has antithetical color and is do of different ingredients making it to have a distinctive taste and look. The color is distributed through certain percentages. M & Ms color distribution has always been something that has intrigued different types of people. As a result, there atomic number 18 different people who have tried to analyze the colors. This article compares Josh Madisons analysis and that from Consumer personal business Office.According to the consumers affair office, the following are the statistics for the distributions of the c olors 25% brown, 10% blue, 6% green, 7% orange, 17% red, 18% yellow and 17% purple. Josh Madison analyzed the color distribution of the candies using the hit-or-miss sampling method. He did not take several software programs of the candies from different locations. Instead he analyzed the candies from a single case which had a total of 48 packages. This would ensure that he was able to analyze packages that came from the said(prenominal) production store. He then took to counting all the candies with different colors in each package and compared it with the total number found in the whole sample as a way of checking the errors. These are results that were obtained from the analysis 18.36% were blue, 14.16% brown 18.44% green, and 20.76% orange, 14.20% and 14% yellow. Blue was observe to be the most popular color but the statistics from the sampling were lower than the expected value of 24%.Comparing the statistics from the two analyses it can be observed that the distribution of the different colors is quite different. For instance,