The resulting information is then put together to form a data set, as illustrated in the table below.įrom the table, it is evident that each bag does not contain an even number of candies. After the purchase of the bags, the bags are opened, and the number of each color is recorded under the bag (Larson & Farber, 2009). The purchase of the candies from different stores increases the size of the population. Further, the samples are purchased by different people from different outlets. This part entails purchasing 24 bags of M & M candies. The first part of the project entails sampling. The objective of the paper is to provide an understanding of the packing of M & M candies using statistical methods (Larson & Farber, 2009). The parts of the paper comprise data collection, coming up with the proportion of the sample mean and sample proportion, confidence interval testing at 95%, and testing various claims. This gives all elements in the population, even the chance of being selected. There is no well-defined approach used to collect data for the sample. It also studies the method as a way of quality control of the production process. The report examines the five parts of the M & M analysis. This report is based on testing the hypothesis on colors of M & M candies.
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