M&M Project
M&M Report
Alex Colbert
Strayer University
Abstract
Statistics is not an easy topic for your everyday person to pick up and make it easy for them to understand. Equations and hypothesis and the like can be overwhelming and confusing. But what about when you relate it to something that is common in everyday life? Throughout the semester we were given the task to evaluate M&Ms in a few different statistical ways. Throughout this report the goal is to be able to explain what happened, and offer the results in plain English for anyone to be able to understand.
Title
M&Ms have been around now for almost a century. They are one of the most popular candies in America, being included in many different outlets including NASCAR, hot air balloons, video games, you name it. In this report I plan to go over each individual part of the M&M report that was conducted throughout the course of the class. While doing that I will try to explain it to the best of my ability in the simplest terms possible so even someone who doesn’t have a lick of statistical knowledge will be able to understand what took place and be able to grasp the results.
Part 1 In the first part of the M&M report, we had a very simple task. The task was to go out to a convenience store and buy three bags of M&Ms, and count how many different pieces of candy were in each of the three bags. Out of the entire student’s in the class I would say every single student’s count of each individual color was different. But for the classes sake all of the colors were added up, as was the grand total of all the candies combined in the three bags. The grand total was: Blue 934, Orange 1025, Green 928, Yellow 639, Red 556, Brown 616 and the total being 3684. It is interesting because watching the video they said that certain colored candies have a higher percentage than others. One of those colors’s being Red, and Red is the lowest.
Part 2 In part 2 we were tasked to find the sample proportions as well as the
Alex Colbert
Strayer University
Abstract
Statistics is not an easy topic for your everyday person to pick up and make it easy for them to understand. Equations and hypothesis and the like can be overwhelming and confusing. But what about when you relate it to something that is common in everyday life? Throughout the semester we were given the task to evaluate M&Ms in a few different statistical ways. Throughout this report the goal is to be able to explain what happened, and offer the results in plain English for anyone to be able to understand.
Title
M&Ms have been around now for almost a century. They are one of the most popular candies in America, being included in many different outlets including NASCAR, hot air balloons, video games, you name it. In this report I plan to go over each individual part of the M&M report that was conducted throughout the course of the class. While doing that I will try to explain it to the best of my ability in the simplest terms possible so even someone who doesn’t have a lick of statistical knowledge will be able to understand what took place and be able to grasp the results.
Part 1 In the first part of the M&M report, we had a very simple task. The task was to go out to a convenience store and buy three bags of M&Ms, and count how many different pieces of candy were in each of the three bags. Out of the entire student’s in the class I would say every single student’s count of each individual color was different. But for the classes sake all of the colors were added up, as was the grand total of all the candies combined in the three bags. The grand total was: Blue 934, Orange 1025, Green 928, Yellow 639, Red 556, Brown 616 and the total being 3684. It is interesting because watching the video they said that certain colored candies have a higher percentage than others. One of those colors’s being Red, and Red is the lowest.
Part 2 In part 2 we were tasked to find the sample proportions as well as the