M & M Project Report
Lakisha Fields
Strayer University
Instructor: Professor Heather Booth
MAT 300 Elementary Statistics
March 10, 2013

* INTRODUCTION: PURPOSE OF REPORT

The purpose of this report is to examine the packaging process of M & M candies for a 1.69oz bag. This process is achieved by way of using random sampling to gather data on the number of colored M&M candies (blue, orange, green, yellow, red, brown,) as well as testing the sample proportion / sample mean, and constructing a 95% confidence interval. This report should provide a better understanding as to the methods used behind packing M&M candies. * PROJECT PART I: SAMPLING METHOD

The sampling method is the scientific procedure of selecting those sampling units which would provide the required estimates with associated margins of uncertainty, arising from examining only a part and not the whole. There are several types of sampling, however for this particular project we used random sampling in which each item of the data) has the same probability of being selected in the sample. In order to achieve true raw data, three bags of 1.69oz M & M candies were purchased from three different stores. The data from these bags were collected and placed into an excel worksheet to create a single data set (see below). This information was then entered into an excel spreadsheet and separated by individual bags.

* PROJECT PART 2: METHOD, ANALYSIS, RESULTS
In this area we combined all collected data, and placed into an excel worksheet. During this process we were able to collect all necessary information to distinguish the sample mean and sample proportion for each colored candy as well as for the total number of candies collected. After all of the information was collected and computed, a frequency histogram was then created (see below) which allowed one to identify any patterns within the data set. A frequency histogram is a bar graph that represents...

...
M&Ms® Project Report
September 12, 2013
Abstract
This paper will discuss the methods taught in Statistics this past semesters using what is being referred to as the M&M® project. Methods include random sampling, calculating random proportions, mean, standard deviations, creating histograms and identifying their shape such as bell, constructing confidence intervals for proportions and hypothesis testing of the samples. Each section of the M&M® project will demonstrate a lesson that was learned by applying the knowledge from the class to each separate part of the M&Mproject itself. The paper will conclude by discussing reasons why the results of the samples may have been different than anticipated.
Introduction: Purpose of the Report
The main purpose of the M&M® project was to take an everyday item such as M&M®’s that applies random selection when filling each package and to verify statistically the outcome in means of random sampling, proportions, and averages. Aside from the initial part of the project each part will focus on a different method in term of calculations, analysis and results conveyed all using the combined data from the class gathered in part 1....

...The Packaging Process of the M&M Candy
Elementary Statistics
December 15, 2011
[pic]
Abstract
This experimental study will help explain some of the statistical concepts being taught in the classroom as well as show different examples of how these methods can be used. We will be using the 1.69 oz size bag of plain M&M candies which are for the purpose of convenience and affordability. From a larger perspective, we will be exploring the reason why M&M candies are processed and packaged the way they are before arriving at the retailers. The study was conducted by seventeen statistic math students from a small university located in Greensboro, North Carolina. The study consisted usage of 137 bags of M&Ms, which ranged differently in color proportions and totaled with a sum of 7691 pieces of the candy. The conclusion for this study was to show the overall percentage of each color proportion and the total number of candies per bag.
The Packaging Process of the M&M Candy
The purpose of this report is to provide a written report of the five part M&Mproject. In part one, we focused on sampling whereas each class member purchased a 1.69 oz bag of plain M&Ms randomly from 3 different retailers and recorded the color of each on to an Excel spread sheet. The data was then...

...MAT 300
M&Ms® Project
Part 5 (3 pts)
Using the methods in Section 8.4, test the hypothesis (α = 0.05) that the population proportions of red and brown are equal (pred = pbrown). You are testing if their proportions are equal to one another, NOT if they are equal to one another AND equal to 13%. NOTE: These are NOT independent samples, but we will use this approach anyway to practice the method. This also means that n1 and n2 will both be the total number of candies in all the bags. The “x” values for red and brown are the counts of each we found on the Data page. You will need to calculate the weighted p: [pic]
Be sure to state clear hypotheses, test statistic, critical value or p-value, decision (reject/fail to reject), and conclusion in English. Submit your answer as a Word, Excel, .rtf or .pdf format through the M&M® project link in the weekly course content.
Answer
Here n1 = 4179, n2 = 4179, x1 = 588, x2 = 521
Therefore, pred = x1/n1 = 588/4179 = 0.140703518
Pbrown = x2/n2 = 521/4179 = 0.124670974
The null hypothesis tested is
H0: There is no significant difference in the proportions of red and brown candies. (pred = pbrown).
The alternative hypothesis is
H1: There is significant difference in the proportions of red and brown candies. (pred ≠ pbrown)
The Test Statistic used is
[pic] where [pic]= 0.132687246
Therefore, [pic]= 2.160335305...

...Abstract
The purpose of this paper is to provide a written report of the five part M&Mproject. Part one was sampling. We were to purchase 3 bags of M&M and record the color counts of each bag in an Excel spread sheet. For part two we calculated the sample proportions for each color, the mean number of candies per1.69oz bag, created a histogram for the number of candies per bag, use Excel to compute the descriptive statistics for the total number of candies per bag and summarize the information. In part three we located the 95% confidence interval for the proportion of blue, orange, green, yellow, red and brown. For part four we tested claims for percentages of each color. In the final part of the project we tested the hypothesis that the population proportions of red and brown were equal. This report will explain what was done, present the results and provide an analysis of what was found.
Title
This reported is presented on the statistical data investigated on M&Ms. This report contains information on the average number of candies per bag and sample proportions. We have conducted tests to ensure that our proportions, going into each bag of m&ms, are on target. We have also conducted hypothesis testing to ensure that our average number of m&ms per bag is on target as well.
Project Part 1: Sampling Method
The first...

...M & MProject
Masterfoods USA put together a team to review the color a proportion of the M&M’s being placed in each 1.69 bag. To ensure that a random sample was obtained, each of the 20 members on the team acquired a bag of M&M’s from three different store locations. Each part of the project utilized the M&M’s obtained to determine if the color proportions are what the company expected to be in the bags. Additionally, the team identified a couple of process that could assist the company in getting the proportions they expect.
Project Part 1: Sampling Method
In part one of the M&MProject, the requirements were to go to three different stores to purchase three bags of 1.69 oz. M&M’s. Once the three bags were obtained, the students were to open the bags and count the number of each M&M in each color category; blue, orange, green, yellow, red and brown. The number counts of each color category for each bag were recorded in a spreadsheet. Since each project team member acquired three bags, we then took the information from the personal samples of each student and combined with others to create the full random sample.
Project Part 2: Method, Analysis, Results
In part two of the M&M exercise, the...

...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...

...increasingly looking to M&A
to support their global growth strategies. The primary objectives for M&A’s are to cut costs,
broaden market shares or take advantage of each other’s synergies and most typically to
accelerate growth. Yet several studies indicate that more than half of all M&A deals fail to meet
management’s strategic, operational and financial objectives.
The crux of the matter lies in the excessive focus on financial due diligence, risk
assessments. Quite often, the people factor, i.e. issues that relate directly to people as workforce
management and cultural integration, are left out of the due diligence process creating major
challenges later during integration. In the past, HRM was expected to provide support in postintegration efforts, as well as increased business focus and knowledge to ensure that the full
value of M&A deals is realized. For organizations, it important to believe in the fact that People
are its key assets.
However, today we realize that, mastering the softer issues is the hardest part of integration
and has the strongest influence on an M&A’s long-term success. HRM professionals are
expected to be ready to manage the people, opportunities and the risks associated in these
transactions. Managing organizational change and business / culture integration requires more
attention by Leadership and HRM to M&A deals....

...MAT 300: STATISTICS
M&MPROJECT PAPER
ALEXANDREA WINT
PROFESSOR AZAD, VARGHA
June 3, 2012
Purpose of Report
The purpose of this project is to find the information for a quality control manager of Masterfoods plant. The manager wants to know about the proportion of candies and if they are the same or different. If there is any difference that exists then the manager wants to know why there is a difference in such cases. A study was conducted and results were obtained and based on these statistical results we will try to gain information about the quality of Masterfoods plant.
Part1: Sampling Method
Sampling method is used to draw the random sample from the population of candies from different bags is known as the simple random sampling without replacement. 36 bags were drawn from the population of different color of candies and after drawing the 36 samples; the numbers of different candies are calculated. For sample in bag one how many are blue candies, how many are red candies, how many are yellow candies etc. There are six different colors in each bag. So the record is made after collecting the sample.
Part 2: Method, Analysis, Results
In this section we have made attempts to find the descriptive statistics related to the number of candies or proportion of candies in the bag. The mean number of candies per bag is approximately equaled to 55. This means that we are expecting 55 candies...

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