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Submitted By mrssharpe

Words 975

Pages 4

Words 975

Pages 4

Israel Sharipo

September 13, 2013

Abstract

This paper shows the true proportions of M&M candies through the random sampling of

3 different bags of plain M&M 1.69oz bag of candy bought from three different stores.

I believed one will be able to determine data analysis and how it works as it relates to

our class project.

Introduction

The rationale of writing this paper is to show how statistics data analysis works. Statistics

as we learned, is the practice of collecting, organizing, analyzing and interpreting data to

make decisions. The two types of data used in the project are sampling and proportions.

The methods used can be used by any professional or in any occupation. It can be used to

determine the standard deviation, mean of any data among others.

Part 1

In part one, each student was asked to take a tally of the 3 bags of candies bought from

three different stores. And then we were asked to count the totals of each color in all 3

bags.

Part 2

We used the excel data provided to complete the assignment. We looked at the data from

two perspectives” color and proportions and the number of candies per bag. For the color

proportion; we used the total for each color divided but the total number of candies

sampled. As for the number of candies per bag, we use the data in the number candies in

bag column. We used the total number of candies per bag divided by the total candies to

arrive at the color proportion.

Blue Orange Green Yellow Red Brown

757 743 610 393 421 418

0.2265 0.2223 0.1825 0.1176 0.126 0.1251

Then we were made to calculate the sample mean number of candies per bag.

In another sheet within the workbook we used, we created a histogram for the number of…...

...Part 1 First to get started with the project three 1.69 ounce bags of plain M&M’s were purchased from Walgreens, Rite-Aid and Dollar General. These bags will help with taking a sample of the population that is produced. Purchasing the bags from three different stores will help with the results of the project being meaningful because it is assured that the samples will be truly random. Random sampling is when all members of a group have an equal and independent chance of being selected. Next each individual bag of candy was opened and counted. When counting the candies were put into groups based on their color (blue, orange, green, yellow, red and brown) and the results were recorded on a spreadsheet. Once every bag was counted the findings were added up to find the total number of candies within each of the three 1.69 ounce bags of plain M&M’s. The findings were as followed: Bag One had 54 candies, Bag Two had 57 candies and Bag Three had 56 candies. Part 2 For this part of the project all of the data findings from the class were combined into one class data set. The data focused on the color proportions and the number of candies per bag. The information that was used for the color proportions is the total for each color and the total number of candies sampled. The data in the number candies in bag column was used for the number of candies per bag. First the sample proportions for each of the colors were calculated. A sample proportion is the number of individuals in......

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...Strayer University M&M Project Summary Jeanette Willis Mat-300 09/14/2012 Introduction This M&M project was to get students such as myself to get a better understanding on how companies determine how they are going to package their product, market it and disburse among many different markets. The other purpose of this project was to determine statistical data analysis of M&M candies. However to determine what is statistical data analysis we must first try to define the term statistic in the first place. Statistic to me is a set of techniques that are used in collecting, analyzing, presenting, and interpreting data. The statistical method we used helps in a variety of occupations and also helps people to identify study and solve many complex issues in businesses and the entire economic world. It also helps us to understand complex data by make it simple so as to help in decision making processes. In this segment of the project I am performing a statistical analysis on M&M candies based on different colors in different bags, and different statistical methods will be perform during the entire process and based on those. First in order to determine the statistical methods we had to first focus on two perspective color following Blue 0.233, Orange 0.2102, Green 0.168, Yellow 0.1322, Red 0.1382 and Brown 0.1239. The mean for the six colors vary with Blue being the dominant color of 852, follow by orange 770, green,......

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...around and tries to take over the company that has made the hostile bid. Definition of 'Sleeping Beauty' A company that is considered prime for takeover, but has not yet been approached by an acquiring company. A company may be considered a sleeping beauty for a variety of reasons, including large cash reserves, undervalued real estate, undervalued share price, attractive assets, or strong growth and earnings potential. A takeover, or acquisition, is typically characterized by the purchase of a smaller company by a larger firm. The acquiring company generally offers a cash price per share, thereby purchasing the target outright for its own shareholders. Investopedia explains 'Sleeping Beauty' In relation to mergers and acquisitions (M&A), a sleeping beauty is a company that is "sleeping"; that is, one that is ripe for takeover to achieve its full potential. A sleeping beauty might be a new company that has great potential but has not yet been noticed, or it could be an established company that has not been managed well, and is therefore not maximizing its potential. A sleeping beauty essentially lies in wait until a takeover occurs, at which point the company theoretically would be able to live up to its potential. Definition of 'Dawn Raid' When a firm or investor buys a substantial number of shares in a company first thing in the morning when the stock markets open. Because the bidding company builds a substantial stake in its target at the prevailing stock......

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...Herb and Harry went from doing business on a park bench to beginning a successful venture in the nascent computer industry. CACI continued to leverage trends and identify the most promising technologies and markets. In 1970, CACI pioneered easy-to-use database retrieval programs for the Department of Commerce. Leveraging this technology to projects for the departments of Defense and Justice. This solution expanded the development clients enabling CACI to keep both organizations as preeminent sources of business to this day. Following the trend lines, providing expertise and delivering quality client service became benchmarks of CACI’s culture. These ideals continued into the 1980s, when they faced a dramatic change in the federal landscape. As new rules and regulations went into effect hey had to retool their business to succeed and compete. CACI learned quickly to adapt and survive to succeed and become a major industry leader. In 1990, CACI expanded their professional services firm to an IT solutions provider. CACI recognized that IT was fluctuating from individual software applications to networks and enterprise-wide projects and it was clearly defined that we are moving to a network world. At present, in a time of economic uncertainty, CACI's fiscal performance remains solid. For fiscal year 2011 CACI announced record revenues of $3.6B. CACI continues to leverage an aggressive acquisition strategy – some 52 acquisitions over the last 20 years – to augment......

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...M&A Project Table of Contents 1. Executive Summary 1 2. Introduction 2 2.1. History 2 2.2. Company structure 3 2.3. Products 4 2.4. Stock analysis 4 2.5. Competitors 5 2.6. Industry and Economic Trends Analysis 6 3. SWOT Analysis 7 4. Valuation 11 4.1. Weighted Average Cost of Capital 11 4.1.1. Re: Cost of Equity 12 4.1.2. Rd * (1-Tc): Cost of Debt 14 4.2. Pro Forma Forecasting 16 4.3. Discounted Cash Flow Valuation 19 4.4 Earning Valuation 21 4.5 Relative P/E Ratio Model 23 4.6 Synergy 26 5. Outcome and process of negotiations 28 6. References 30 7. Appendices 31 Executive Summary The purpose of this paper is to evaluate and negotiate an acquisition of Jos. A Bank by Men’s Wearhouse. The first step of this process is to use fundamental analysis to value the equity per share value of Jos. A Bank. The second step is to value the synergy between Men’s Wearhouse and Jos. A Bank to estimate the value that would be added to Men’s Wearhouse if they were to acquire Jos. A Bank. Lastly, the paper will address the process of the negotiation with Jos. A Bank management for the proposed acquisition and the ultimate outcome of the process. The North American Industry Classification System (NAICS) classifies Men’s Wearhouse as a clothing and clothing accessories store and this subsector of the retail industry has approximately 2.5 million employees. The firm was founded by George Zimmer in 1973 in...

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...MAT 300 M&Ms® Project Part 4 (21 pts) Use the M&Ms® data to complete this assignment. You will be using the methods of 7.4 for the color proportions and 7.2 for the mean number of candies per bag. For the Bonus you will be using the methods of 7.5. You may submit your answers in Excel, Word or pdf format. Place the file in the dropbox. Be sure to state clear hypotheses, test statistic, critical value or p-value, decision (reject/fail to reject), and conclusion in English. When doing calculations for the color proportions, keep at least 4-6 decimal places sample proportions, otherwise you will encounter large rounding errors. Masterfoods USA states that their color blends were selected by conducting consumer preference tests, which indicated the assortment of colors that pleased the greatest number of people and created the most attractive overall effect. On average, they claim the following percentages of colors for M&Ms® milk chocolate candies: , , , , and. Blue Orange Green Yellow Red Brown 0.207697 0.213661 0.182093 0.134701 0.129692 0.132157 .792303 .786339 .817907 .865299 .870308 .867843 Blue: 3 pts. Test their claim that the true proportion of blue M&Ms® candies in a 1.69 oz bag is 0.24 at the 0.05 significance level. 24% blue Claim - p = 0.24 H0: p = 0.24 (null) H1: p ≠ 0.24 (alternative) ṗ → sample proportion (0.207697) p → assumed value in null (0.24) q → 1 - p (0.76) n → total number of candies (12576) z = -8.482014 p =...

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...Strayer University Math 300 MM Project PT 4 August 14, 2011 Solution: We want to test the following null and alternative hypotheses We need to use the z-statistic, which is calculated using Observe that the sample proportion is This corresponds to a two-tailed z-test for proportions. The z-statistics is computed by the following formula: The critical value for for this two-tailed test is. The rejection region is given by Since, then we reject the null hypothesis H0. Hence, we have enough evidence to reject the claim that the true proportion of blue M&Ms® candies is 0.24. 3 pts. Test their claim that the true proportion of orange M&Ms® candies is 0.20 at the 0.05 significance level. Solution: We are interested in testing the following null and alternative hypotheses We need to use the z-statistic, which is calculated using Observe that the sample proportion is This corresponds to a two-tailed z-test for proportions. The z-statistics is given by the following formula: The critical value for for this two-tailed test is. The rejection region is given by Since, then we reject the null hypothesis H0. Hence, we have enough evidence to reject the claim that the true proportion of orange M&Ms® candies is 0.20. 3 pts. Test their claim that the true proportion of green M&Ms® candies is 0.16 at the 0.05 significance level. Solution: We......

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... Excel Project Report Introduction: This project report is about the project we did on M&Ms. My hypothesis for this project is that bags of equal weight should have the same amount of candies in it. All the colors aren’t represented equally because there are 6 different colors so there must be more of that color in each bag. The color distribution doesn’t remain constant because the little bag will have less candies and the bigger bag will have more candies for each color. Data Collection: This project we are doing is on M&Ms. We opened the mini bags of M&Ms and recorded how many of each color there were and recorded it in the table under bag1. Then we went to 5 other peoples M&Ms and recorded how much M&Ms were there for each color and recorded those under bags 2, 3, 4, 5, and 6. Then I put that information in 3 different graphs. My Table of the Data: Colors Blue Brown Green Orange Red Yellow Total Ba Ba Ba Ba Ba Ba Avera g 1 g 2 g 3 g 4 g 5 g 6 ge 5 0 5 3 0 3 1 6 4 6 4 6 0 0 2 0 3 2 4 5 2 4 2 0 2 4 3 6 2 3 2 0 4 1 5 4 2 1 1 7 4 1 9 3 0 0 1 7 4 2 5 5 1 2 18 Data Analysis: My dat ta reveals that every color r doesn’t have the e same am mount for that co olor there e are all d different. . Only a fe ew bags have the same amoun nt of that t color as the othe er bag. ta shows s that the e average amount of yellow w M&Ms is about 2. My dat The av verage am mount for r Red is 1. The ave erage am mount for......

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... Imagine you are a quality control manager at the Masterfoods plant. Write a two to three (2–3) page report on all the parts of the project. Structure your paper using the following headers: o Introduction: Purpose of Report o Project Part 1: Sampling Method o Project Part 2: Method, Analysis, Results o Project Part 3: Method, Analysis, Results o Project Part 4: Method, Analysis, Results o Project Part 5: Method, Analysis, Results o Quality Control: Assume that at least one of the tests from Part 4 was rejected (proportion not equal to targeted amount set by Masterfoods). Discuss how you would investigate the operations of the plant to determine why the proportions were off the targeted values. Speculate on three or more possible conditions in plant and bagging process that could have caused the observed results. o Conclusion You should explain what was done as well as the results. Tables can be used to present results and information. Your audience is a supervisor or manager who is unfamiliar with this project and may or may not be familiar with statistical terms. As a result, you will either need to explain/define statistical terms or write them in a way that a layman can understand. You will be graded on the following criteria: 1. Present the methods, analysis, and results for the five parts of the project. See above Project Parts 1 through 5. 2. Explain how to investigate unexpected results (failed test(s) in Part 4) and speculate on at least three......

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...MAT 300 M&Ms® Project Report (120 pts) A template report file can be found in the course shell: mnmprojectreport.doc. Before your write your report, watch the video titled “mnmunwrapped.wmv” located in the course shell. It is a 3:30-minute video segment from the TV show “Unwrapped,” showing many parts of the production process, which might give you some ideas. Ignore the color percentages quoted in the segment. Imagine you are a quality control manager at the Masterfoods plant. Write a two to three (2–3) page report on all the parts of the project. Structure your paper using the following headers: o Introduction: Purpose of Report o Project Part 1: Sampling Method o Project Part 2: Method, Analysis, Results o Project Part 3: Method, Analysis, Results o Project Part 4: Method, Analysis, Results o Project Part 5: Method, Analysis, Results o Quality Control: Assume that at least one of the tests from Part 4 was rejected (proportion not equal to targeted amount set by Masterfoods). Discuss how you would investigate the operations of the plant to determine why the proportions were off the targeted values. Speculate on three or more possible conditions in plant and bagging process that could have caused the observed results. o Conclusion You should explain what was done as well as the results. Tables can be used to present results and information. Your audience is a supervisor or manager who is unfamiliar with this project and may or may not be familiar with......

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...Assignment: M&M Project Report M&M Project Report Strayer University David Newman Professor Ahmed Rawish March 16, 2012 Assignment: M&M Project Report Table of Contents I. Introduction II. Data Collection III. Data Analysis IV. Conclusion V. References Abstract This paper examines the proportion of M&M candies through the random sampling of 3 bags. After reading this paper one should have a better understanding of the process that accompanies packaging M&M candies. The bags used in the experiments were taken from different stores to help ensure a true sample of all the 1.69 oz of plain M&M candies. I. Introduction The purpose of this paper is to provide a written report of the five part M&M project. 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.......

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...M&M Project Math 336 (1) Buy a packet of regular size M&M's. Record the frequency of each color and then transfer this information to a bar chart and a pie chart. (2) Represent the number of M&M's per packet on a histogram using all of the class data. Is your histogram normally distributed? Check using the empirical rule. Also choose your favorite color and draw a histogram of the number of M&M’s of that color per packet based on class data. Draw a box-plot of the total number of data in a packet based on class data. (3) There are numerous hypothesis tests that can be done. Obtain the mean number of M&M's per packet for the whole class. Consider as a null hypothesize that the actual number of M&M's in your packet is the actual number of M&M's per packet as intended by the manufacturers. Test this hypothesis using the sample data from the class. Comment on the difference between a type I and type II error in this context. (NOTE: Be careful in the choice of your sample size.) (4) Test the assumption that on average there are the same proportion of red and yellow M&M’s per packet. (5) Devise a test to see if there are the same number of red M&M’s per packet. (6) Another obvious test would be to test the proportion of colors present. Intuitively, we might expect each color to occur with the same probability p (Null Hypothesis) but a quick inspection of data suggests this is not so. Test this hypothesis. (5) Perhaps the manufacturers do not stick to......

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...MAT 300 M&Ms® Project Part 3 (21 pts) We will be constructing confidence intervals for the proportion of each color as well as the mean number of candies per bag. You will use the methods of 6.3 for the proportions and 6.1 for the mean. For the Bonus, you will use the sample size formula on page 338. You can use StatCrunch to assist with the calculations. A link for StatCrunch can be found under Tools for Success in Course Home. Here is also a link: http://statcrunch.pearsoncmg.com/statcrunch/larson_les4e/dataset/index.html. You can also find additional help on both confidence intervals and StatCrunch in the Online Math Workshop under Tab: “MAT300 Archived Workshops”. Specifically you will be looking for Confidence Intervals and Using Technology – CI. Submit your answers in Excel, Word or pdf format. Submit your file through the M&M® project link in the weekly course content. If calculating by hand, be sure to keep at least 4-6 decimal places for the sample proportions to eliminate large rounding errors. Answers 3 pts. Construct a 95% Confidence Interval for the proportion of blue M&Ms® candies. 95% Confidence Interval for proportion is given by [pic] where p = x/n = 810/4049 = 0.200049395, [pic]= 1.959963985, n = 4049 Therefore, CI is given by, [pic] = (0.187727588, 0.212371202) Thus with 95% confidence we can claim that the proportion of blue M&Ms® candies is within (18.77%, 21.24%). Details |Confidence Interval......

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...M&M® Project Report Before your write your report, watch the video titled “mnmunwrapped.wmv” located in the course shell. It is a 3:30-minute video segment from the TV show “Unwrapped,” showing many parts of the production process, which might give you some ideas. Imagine you are a quality control manager at the Masterfoods plant. Write a two to three (2–3) page report on all the parts of the project. Structure your paper using the following headers: • Introduction: Purpose of Report • Project Part 1: Sampling Method • Project Part 2: Method, Analysis, Results • Project Part 3: Method, Analysis, Results • Project Part 4: Method, Analysis, Results • Project Part 5: Method, Analysis, Results • Quality Control: Assume that at least one of the tests from Part 4 was rejected (proportion not equal to targeted amount set by Masterfoods). Discuss how you would investigate the operations of the plant to determine why the proportions were off the targeted values. Speculate on three or more possible conditions in plant and bagging process that could have caused the observed results. • Conclusion: You should explain what was done as well as the results. Tables can be used to present results and information. Your audience is a supervisor or manager who is unfamiliar with this project and may or may not be familiar with statistical terms. As a result, you will either need to explain/define statistical terms or write them in a way that a layman can understand. You...

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...M & M’s Project Erica Warren Strayer University Abstract Over a short time frame of approximately 11 weeks, data was collected and recorded, on the number of candies of each color, within several bags of 1.69 ounces of plain M & M’s. The purpose of this experiment was to examine the packaging process for these plain M & M candies. A random sample on several bags of 1.69 ounces of M & M’s was collected and the population data was produced. The main focus of this project is the color proportions and the number of candies per bag. Calculations were done for the sample proportions, mean, and sample mean of the number of candies per bag. An excel spreadsheet was created to show a histogram for the number of candies as well as a descriptive statistics which summarized other information. Confidence intervals, for the proportion of each color as well as the mean number of candies, were constructed at 95%. Several hypotheses test, along with conclusions was calculated for the color proportions to test Master foods USA statements. The final step was to compare the red and brown candies and test the hypotheses to see if they were equal. This paper will introduce you to the methods that were used and the result for each part of the project. M & M Project With this project, I will be examining the five project parts of an M & M analysis and examine the methods of quality control. Master foods USA states that the color blends were selected by......

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