In: People

Submitted By ellyama

Words 352

Pages 2

Words 352

Pages 2

HR Mission: Human Resources and Organizational Development strive to create a great work environment by searching for and attracting top talent, and providing an environment where employees are encouraged to learn and develop. We are committed to delivering these services in a dependable, timely and cost-effective manner, while balancing the needs of our most valuable resource - our PEOPLE.

HR Objectives:

• Provide a work environment where at least 80% of our employees have good to high job satisfaction.

• Preserve our culture by maintaining 80% mean and 90% mode on performance against our Guiding Values.

• Align Human Resources and Organizational Development services by working within the operating expense goals of the company.

• Ensure global Human Resources processes are seamlessly integrated.

• Increase efficiency with increased automation of processes.

• Differentiate Microchip in order to attract and retain top talent.

• Create and develop employee, technical and leadership talent within Microchip using a variety of development techniques and leveraging internal and external resources.

HR Vision and Mission are in very much synch with the Company’s which are:

“In order to contribute to the ongoing success of customers, shareholders and employees, our mission is to focus resources on high value, high quality products and to continuously improve all aspects of our business, providing an industry leading return on investment.”

← Microchip’s vision

❖ Be The Very Best Embedded Control Solutions Company…...

...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......

Words: 950 - Pages: 4

...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......

Words: 6146 - Pages: 25

...135CC. The above results are also supported by the dealers’ survey result where the only thing we could make out extra is the colours of the bike which dealers rated as a very high influence factor. * Gender: Males * Income: <30,000/- Mileage and maintenance get a huge importance along with brand name. The price-sensitive consumer seems to prefer a lower running cost over initial purchase and driving comfort seem to be getting a due importance due to changes in perceptions among the consumer group. * Occupation: Working class * Region: Rural and semi-urban. * Benefit sought: Basic transportation with higher fuel economy and lower operating costs. Positioning: Klio will be positioned as M&M’s next rugged automobile series. M&M’s core competencies like ruggedness, reliability and resilient with better mileage at very affordable price, will be the positioning factor. Also the performance, price and the date of launch of the vehicle can be used for positioning. Date of Launch: The date of launch is November 1st 2012 because the product is purely focused on rural areas and the rural population will be interested to buy the bike around this time perceiving that due to festival season people must be willing to buy the bike. Differentiation: FEATURES | | ENGINE SPECIFICATIONS | | Name: | KLIO 125 | Displacement: | 124.6cc | Type: | Commuter | Engine: | 124.6cc, 4-stroke | Top Speed: | 107kph | Maximum Power: | 12.7 Bhp @......

Words: 3798 - Pages: 16

...M Project Report 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......

Words: 975 - Pages: 4

...W1_A3_Majors_M.doc Martinez Majors Sr. IST5010 June 17, 2013 Dr. Mousa Ayyash Abstract The M & M Information Technology Services LLC., is an Information Technology Solutions and Professional Service company specializing in systems integration, network design, security, applications development, and service expertise. M & M provides our clients with extensive technological solutions covering a myriad of services from wireless solutions to networking, hardware/software installation, helpdesk services, remote monitoring, project management and architectural designs. With a focus on innovation and quality. M & M works closely with a broad range of governmental and civilian agencies to ensure that we provide the most effective technological solutions available to achieve our customers and a client’s requirements and objectives. M & M has decided to embark upon entering into the digital world by streamlining their core operations through online service requests and online transactions. M & M has decided to get involved in the digital world by starting to support input activities via our website that with a few navigation clicks our clients can perform e-commerce, e-business and services as well as online collaboration with our engineering and professional services groups. Customers are able to work with the support teams to help identify and solve problems and optical scanning of bar coded...

Words: 1126 - Pages: 5

...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 want to test the following null and alternative hypotheses We need to use the z-statistic, which is computed 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 green M&Ms® candies is 0.16. 3 pts. Test......

Words: 1417 - Pages: 6

...in its industry to being one of the lowest (see graph below). 4. Who were M&M?. Merton Miller and Franco Modigliani (both deceased) were finance/econ professors at U. of Chicago and MIT, respectively. They won a Nobel Prize in Economics for their work on capital structure. Merton was once asked by a news journalist to summarize the work he did which won a Nobel Prize. His answer was too long and complicated for an audience accustomed to 10-second sound bites. Finally, he suggested a simple analogy: if you cut a pizza into smaller pieces, you’ll have more pieces but not more pizza. In other words, if you ignore income tax and financial distress costs, your firm should be worth the same whether it was financed with all debt or all equity. The news camera crew folded up their cameras and said they’d get back to him. Merton decided he had somehow missed his chance to package economic wisdom in 10-second sound-bites. M&M Theorem and Pizza: After the ball game, the pizza man asked Yogi Berra if the pizza should be cut into four slices as usual, and Yogi replied: “No, cut it into eight; I’m hungry tonight.” The moral of the story? More pieces do not mean more pizza. The main point of the M&M propositions were that if you ignored taxes and financial distress costs, whether you get your L/T financing from debt or equity should not matter. 5. Is there an optimum CS? If so, what about M&M’s Proposition Case I? As illustrated, Case I shows that the mix......

Words: 1745 - Pages: 7

...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. HELP You can use StatCrunch or the TI to help with this test. Needed information for both tools include: x1 = number of red n1 = total number of candies x2 = number of brown n2 = total number of candies For the TI, you will want 2-PropZTest. Then select the appropriate alternative (not equal), and Calculate then enter. The output will have the test statistic (z), p-value (p), sample p values, weighted p ([pic]), then repeat of sample sizes. For StatCrunch, you will select Stat > Proportions > Two Sample > with summary. The output will contain the test statistic (Z-Stat) and......

Words: 339 - Pages: 2

... 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......

Words: 695 - Pages: 3

...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.......

Words: 336 - Pages: 2

...Running head: M&M PROJECT REPORT Abstract This paper examines the proportion of M&M candies through the random sampling of 156 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. Introduction: Purpose of Report The purpose of this report is to examine the five project parts of an M&M analysis and examine a method for quality control. The parts of this project included using random sampling to gather data on the number of colored M&M candies, the sample proportion and sample mean, constructing a 95% confidence interval and testing claims of M&M candies. By the end of this report a better understanding of the methods behind packing M&M candies should be gained. Project Part 1: Sampling Method To begin the M&M analysis a random sample of three 1.69oz bags of plain M&M candies where purchase by each individual students from three different stores. A random sample ensures that every member of the population has a chance to be selected. The population in statistics refers to the “collection of all outcomes, responses, measurements, or counts that are of interest (Larson, & Farber, 2009).” Buying bags from different stores assures a true sample of the population of all 1.69 oz bags of plain M&M candies. Once bags were......

Words: 1210 - Pages: 5

...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......

Words: 542 - Pages: 3

...M&M’s Write Up 1. Bag Weight Analysis The bag weight analysis focuses on whether the weight of the bag of M&Ms is consistent with the advertised weight around 50oz. We assumed the series of data containing the classes’ weights to be approximately normal. Since n=48, the large-sample test for population mean was used to determine the plausibility that the advertised weight was true. 2. Color Distribution Analysis The color distribution analysis calculated whether or not the color distribution of the bag of M&Ms accurately depicts the advertised proportions. The number of orange M&Ms in our bag suggested that the proportion was consistent with the advertised proportion of 20%. Since all of the expected values for the distributions were over the standard values, the data suggested that the color distribution was not consistent with the advertised distribution. However, another possibility is that the color distributions truly are not accurate and were ball-parked for curious customers. 3. M&M Variability Analysis Through the use of a histogram and confidence interval of the standard deviation, the variance in the weight of individual M&Ms was analyzed. The sample size was taken from around 50oz bag of M&Ms. Judging from the shape of the histogram, the confidence range, and the analysis of the M&M manufacturing process, it was concluded that individual M&Ms have very little variance from the mean weight. 4. Defects......

Words: 296 - Pages: 2

...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......

Words: 353 - Pages: 2

...At first Mahindra was a company dedicated to manufacturing general-purpose Utility vehicles that later turned into a conglomerate with interests in oil drilling, bearings, time-share results, and instrumentation along with jeeps and tractors. In 1991 the Harvard educated scion told M&M that they would not continue business with them if they didn’t have global potential, resulting in the businesses being regrouped into four strategic business units (SBUʼs) such as; automotive, farm equipment services, IT services and trade and financial services. The company anticipated an economic downturn in the tractor industry that resulted in M&M creating the Operation Blue Chip. The drive was launched in 2000 and later in 2001 the domestic market for tractors collapsed as expected, and M&M was the only tractor company in the Indian industry that made profits. India was the worlds second largest tractor manufacturer and in the 1990s the country was expanding to more competitive markets such as the United States. M&M capitalized quickly on this opportunity and set up an assembly plant in Tomball, Texas in 1994. Elsewhere, the Indian tractor industry categorized 13 players in the Indian tractor industry on the basis of power delivered by the engines horsepower that also included three multinational corporations; New Holland, John Deere, and SAME. Because of an emphasis by the federal government on increasing share of agricultural in the gross domestic product, the flow of farm credit......

Words: 2066 - Pages: 9