For the term project, we, as a class compiled data using skittles. Each student in the class bought a package of skittles and separated the skittles by color. Once that was done, we entered our information into the computer with the total amount of skittles in each package. Using this information we were able to compile all of our information into an excel spreadsheet. As a class we were placed into groups and then as groups created data and information using the statistics we learned while taking the class. The first thing we did with the skittles spreadsheet we then computed the proportions and created pie and pareto charts using the information we received from each individual in the class. I noticed during the part of the project that each bag were relatively similar. Each bag hovered around 60 candies. I surprised to see that the yellow skittles had the most number of skittles in the whole class when compared to my bag, I only had 6 skittles. I did notice that there was an outlier in the data, one bag of skittles candy had 25 yellow skittles. Whereas the other skittles didn’t even come close to 20 skittles per bag. For the third part of the project we needed to find the mean, standard deviation, and the number summary for the project. The mean is 59.7, standard deviation is 2.9, and the number summary is 53, 58, 59.5, 61, and 66.5. Using the data we created a frequency histogram and a boxplot. The shape of the frequency histogram is bell shape which means that the data is symmetric. The project was categorical data because we counted each skittle out by color sorting them other than quantitative data which would be used for measurements like weights and heights. For the fourth part of project we did confidence intervals for the yellow candies and the population mean. My group however didn’t communicate very well and we didn’t turn in the information for the project. We dropped the ball on this one. But in this section I did learn a lot about confidence intervals and their purpose. The confidence interval is used to measure the parameter that has intervals based on a point estimate. There is a greater interval margin for 99% rather than 95%. Confidence intervals shows that statistics can’t always be right and there is always room for error. I liked doing this project it really helped me understand the statistics we learning at the time. I like the hands on experience and having to discuss with other people what to do in the project. It was interesting to see what other people think about statistics. To be honest, I didn’t think statistics would be hard, but now I realize that statistics is tough.