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There are five different data collection methods, using articles I will provide two different examples of data collection.

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Using an interview to gather data can be a successful way to get the information you need. You can base your interview questions solely on the information you need and want and nothing more. One way to collect information that can be an easy way to gather information that you need with would be to ask close ended questions, with a yes or no answer. This way you can get the information you need and want and not have a lot of excess information that is not needed. Another way to collect data would be to observe people. You can gather data by observing for multiple things. Clothing styles, colors, hair styles and things of that sort. When observing people to gather data, you need to make sure that you are in a place that has a wide variety of people. If you are observing people in a gym then you will most likely find people in sporting wear rather than wearing jeans. When in a children’s store you may find expectant mothers, grandmothers, young couples, older couples, a wide variety of people. Another place you would find a wide variety of people to observe is a grocery store or big box store. There are advantages and disadvantages to using each method for collection of data. A few advantages would be that the information relates solely on what is currently happening within that situation. Whoever is completing the observation is only going to be recording what they are seeing or hearing at that time. Also, it’s a very independent study. The person or persons’ being observed don’t necessary have to say or do anything, there’s no willingness to respond to the observer. A downfall of the observation method is that the information that is collected within that time could be very limited to…...

...Unit 1 - Fundamentals of Statistics Jeanna Starr American InterContinental University Abstract A data analysis was done on job satisfaction for the company AIU categorized by age, gender, tenure, position, and department. Overall job satisfaction as well as intrinsic (satisfaction with the actual performance of the job) and extrinsic (office location or work colleagues) job satisfaction were considered in this survey. Introduction AIU assembled a team of researchers to study job satisfaction. I was selected as part of a group to participate in a massive global undertaking. The study required me to examine data and analyze the results. The study consists of job satisfaction, which is extremely important to an organization’s overall success. This particular study will allow managers to gain understanding and knowledge about what type of human behaviors can be used to strengthen an organization’s performance. Chosen Variables I have chosen gender for my qualitative data and intrinsic for my quantitative data. The reason that I have chosen these two variables is because I thought it would be interesting to analyze if males or females were more satisfied with their job, and how the actual job performance reflected their job satisfaction rating. Difference in variable types Qualitative variables include subjects that are non-numerical, such as gender. Quantitative variables include subjects that are numerical and give us a clear visual as to......

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... SCMA*2000 Quantitative Methods Q:1 Do question 7-27 (given on p. 294 of the text). Note: This may require drawing diagrams, and you may do it using Word, or Excel. However, your work must be fully explained on the same sheet (as I explained in the class, and as you have done for the previous assignments). (12 Marks; 3 for each part) Q:2 Do question 7-31 (given on p. 295 of the text). This question will require drawing diagrams. Follow the instructions given in Q:1. (12 Marks; 6,3,3) Q:3 Do question 7-33 (given on p. 295 of the text) which is related to the previous question. Here you will refer to the Table given for this question on p. 295 of the text when answering. (6Marks; 3 each part) Q:4 Do question 8-1 (given on p. 331 of the text). You may use Excel (as I did in the class yesterday, and the relevant file is posted on the course website for those of you who were not present in the class) or QM for Windows to do this question, and you must explain your work on the same page if you use Excel or through annotation tool if you are using QM for Windows. (15 Marks; 5,10) Q:5 Do question 8-6 (given on p. 333 of the text) in light of the instructions given in the previous question. (15 Marks) Notes: i) The assignment must be submitted electronically in the drop box before the deadline. ii) Please be mindful of the University's policy regarding plagiarism, which is a serious offense. You may read about the policy at the University's website. ...

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...Unit 1 - Fundamentals of Statistics Denise Taylor American InterContinental University Abstract This study shows that children between the ages of 13 or 14 behaviors are affected by the evening work schedules. Mothers who worked at night spent considerably less time with their children and had lower quality home environments, this links to adolescent risky behaviors. Other types of maternal and paternal nonstandard work schedules were linked to higher parental knowledge of children's whereabouts, which led to lower levels of adolescent risky behaviors. These analyses revealed that boys, those in families with low incomes, and those whose mothers never worked at professional jobs may particularly be affected by mothers working at nights, due to spending less time together, having a lower degree of maternal closeness, and experiencing lower quality home environments (Han, W., Miller, D. P., & Waldfogel, J. (2010). Introduction This article demonstrates how when parents work late night schedules it affects children and causes different behaviors such as; cigarette smoking, alcohol and drug use, sexual activity and poor grades. These work schedules are usually between the hours of 6 p.m. - 3: am) Children whose parents work between the hours of 6 a.m. and 6 p.m. are less likely to have these problems because they are in school or in after school programs. Chosen Variables The variables qualitative which are Boys between the ages of 13- 17, and......

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...Quantitative Methods and Analysis Unit 1 DB Leonidas Murembya July 22, 2013 My first choice is the face-to-face data collection method.The population health surveys trend to rely on five main methods of data collection, the one that I am doing is the Face-to-Face interview. Most of them in this study chose to do the face-to-face interview. The face-to-face is also known as FTF. The face-to-face interview method was done on the Population Surveys of Children’s Health and Wellbeing: Parental Views on Data Collection Content and Methods. (Waters, E., Davis, E (Nee Maher) & Mehmet-Radji, O., 2005-206). The face-to-face interview method could be done one on one or in a group setting. This study had been done on a group from Australian families with the children ranging from zero to twelve years of age. The face-to-face interview method is on their health status in which it has four subgroups for it, one is the health and wellbeing, the second one is the growth and development, third one is the mortality, the fourth one is morbidity and disability, as well as the fifth one is the safety and security. However, other professionals, such as doctors, do other studies and then there are also other kinds of face-to-face interview methods as well depending on what they are looking for in the child. There are several pros and cons for a face-to-face interview method. The cons would be that you would have a variety of communication (technology) (Editorial Board 2012). Then you......

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...BUSN311-1302A-02 Quantitative Methods and Analysis Unit 3 DB Leah Murray May 13, 2013 While determining a sample size, the researcher would first need to know how many people, otherwise how many animals would be required because if you do not have enough sample size then it will have an cause on the general study conclusion (2006). The arithmetical power, P level as well as the treatment including the error variability is the factors otherwise; it would be the parameters in order to aids the researchers with choosing the correct sample size for the study (2006). The arithmetical power informs us how powerful the contributing people otherwise the animals in the study is going to be affected with the treatment that will be given to each of them. The P level will assist the researchers in determining the probability for any variation within the topic throughout the study (2006). At last, the investigators have determined the accurate sample size established as to whether or not the remedy predictability for the study is larger than the error predictability. In which it means that some more participants might be needed for the study if the researchers determine to facilitate the affect of the treatment that would happen to be smaller than the error variability (2006). Creative researcher systems as well as the raosoft are survey system companies that provides calculators in order to decide the model size intended for the research investigation. However, for a sample size...

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...Unit 5 – Regression Analysis American InterContinental University Abstract In this scenario, Microsoft Excel has been utilized in order to perform a regression analysis therefore; each one has a chart in order to show the correlations in the data. However, satisfaction: overall, intrinsic, and extrinsic had been used. Introduction An analysis has been given to employees for the benefits satisfaction and compared to three different job types such intrinsic, extrinsic, as well as the over all. However, the regression analysis that was performed had been done in excel as well as there were charts made up. Benefits and Intrinsic Job Satisfaction Regression output from Excel Regression Statistics Multiple R 0.022301 R Square 0.000497 Adjusted R Square -0.0093 Standard Error 0.656922 Observations 104 ANOVA df SS MS F Significance F Regression 1 0.021902 0.021902 0.050753 0.822209 Residual 102 44.01771 0.431546 Total 103 44.03962 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 5.270871 0.348709 15.11541 8.66E-28 4.579209 5.962532 4.579209 5.962532 X Variable 1 0.017947 0.079664 0.225284 0.822209 -0.14007 0.175959 -0.14007 0.175959 It did not want to add my 2 to the answer of 5.962532 or did it add the 9 to the answer of 0.175959 Graph Benefits and......

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...The Quantitative Methods course is relevant in almost all aspects of my work, I am an Accounting and Finance Senior Recruiter in Miami. My primary responsibilities include seeking new Clients and Companies to either fill open opportunities or find skilled candidates that are a match for these company’s needs. I am generally multi-tasking, speaking to candidates on the phone, while sending a resume to a company and follow up with both. A vital part of being successful in this industry is organization, follow up and time management. The excel skills I am using in the Quantitative Methods is extremely helpful in my day to day at work, I had an excel list of candidates with applicable titles and last day of contact with notes. Since taking the course and completing the homework’s, I now have what I would consider an impressive excel document; tabs with monthly internal interviews, daily follow up notes, candidate submittal etc. I am not extremely organized and can see all my top clients, candidates and updated notes from one document. I cannot stress how useful this document has become, simplifying and minimizing time previously spent on tons of updates. In addition to staying organized it is vital for me to be an effective manager. I am practically managing my own business, considering that I am have to manage all aspects of the hiring, interview and resume aspects. I am analyzing and solving managerial problems on a daily basis. It is important for me to make not only a......

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...Chapter 1 Introduction to Quantitative Analysis Teaching Suggestions Teaching Suggestion 1.1: Importance of Qualitative Factors. Section 1.2 gives students an overview of quantitative analysis. In this section, a number of qualitative factors, including federal legislation and new technology, are discussed. Students can be asked to discuss other qualitative factors that could have an impact on quantitative analysis. Waiting lines and project planning can be used as examples. Teaching Suggestion 1.2: Discussing Other Quantitative Analysis Problems. Section 1.2 covers an application of the quantitative analysis approach. Students can be asked to describe other problems or areas that could benefit from quantitative analysis. Teaching Suggestion 1.3: Discussing Conflicting Viewpoints. Possible problems in the QA approach are presented in this chapter. A discussion of conflicting viewpoints within the organization can help students understand this problem. For example, how many people should staff a registration desk at a university? Students will want more staff to reduce waiting time, while university administrators will want less staff to save money. A discussion of these types of conflicting viewpoints will help students understand some of the problems of using quantitative analysis. Teaching Suggestion 1.4: Difficulty of Getting Input Data. A major problem in quantitative analysis is getting proper input data. Students can be asked to...

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...MAT 540 (Quantitative Methods) Week 1 - 11 Entire Course - IF You Want To Purchase A+ Work Then Click The Link Below , Instant Download http://acehomework.com/MAT-540-Quantitative-Methods-Week-1-11-Complete-Course-234323.htm If You Face Any Problem E- Mail Us At JohnMate1122@gmail.com WEEK 1 Quiz 1 Set 1(20 Questions and Answers) Quiz 1 Set 2 (20 Questions and Answers) Quiz 1 Set 3 (20 Questions and Answers) WEEK 2 Discussion Question 1: Decision Tree Discussion Question 2: The Science of Probability Quiz 2 Set 1 (20 Questions and Answers) Quiz 2 Set 2 (20 Questions and Answers) WEEK 3 Assignment 1, Jet Copier Case Problem Discussion Question 1: Pseudorandom Discussion Question 2: Statistical Analysis WEEK 4 Assignment 2, Internet Field Trip Presentation Discussion Question 1: Forecasting Discussion Question 2: Forecasting Models WEEK 5 Midterm Exam 1 (40 Questions and Answers) Midterm Exam 2 (40 Questions and Answers) Midterm Exam 3 (40 Questions and Answers) Midterm Exam 4 (40 Questions and Answers) WEEK 6 Discussion Question 1: The Linear programming Model Discussion Question 2: The LP Model Discussion Question 3: Graphical Method Discussion Question 4: Minimization model Quiz 3 Set 1 (20 Questions and Answers) Quiz 3 Set 2 (20 Questions and Answers) Quiz 3 Set 3 (20 Questions and Answers) WEEK 7 Assignment 3, Case Problem, Julia's Food Booth Discussion Question 1: Shadow Price Discussion Question 2:...

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...College Number(Bottom Left of College Card) | 100828304 | Year: | 1 | Course Code | MN1105 | Course Tutor: | Dr Ashok Jashapara | Assignment No.: | 1 | Degree Title: | MN1105 Quantitative Methods | Question No. & Title: | “Critique of Quantitative Methods Journal Paper” | “Critique of Quantitative Methods Journal Paper” Why Are Some Subsidiaries of Multinationals the Source of Novel Practices while Others Are Not? National, Corporate and Functional Influences. This paper aims to establish the analysis of a unique international data set in four host countries like Canada. Ireland, Spain and UK. The study examines the argument that various, rather than single, proof are required to understand the factors promoting or retarding the diffusion of human resource practices within multinational companies. Multinational companies are progressively powerful and effective in Europe and worldwide. They are the main factor of the world and regional economies. MNCs are familiar with the sharing of organizational practices to foreign subsidiaries with the rest of the company. Organizational practices can be shown as important resources and abilities to produce and develop through the firm. “The key part of MNC’s is the diffusion of human resource practices to develop at the international level at the diverse capabilities and knowledge that they possess at subsidiary level.” The article examines the diffusion of HR practices from the......

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...Individual Work-2-Week-10 Ricky Norberg Quantitative Methods - 1 Everest University Online Date - 03/19/2016 Instructor: Robert Miner 1 1. Over a three week (21-day) scheduling period, each unit will be scheduled for seven days. Normal staffing requires 186 firefighters to be on duty every day. Thus, each unit needs to provide staffing for 7*186=1302 firefighter days. During a three week period, each firefighter provides 6 days of service. Therefore, Base no of firefighters needed by each unit=1302/6 = 217 Base no of firefighters needed by each unit=217. 2. Using the normal distribution, Z value corresponding to probability of 0.3548= - 0.3722 Optimal no of additional firefighters based on given distribution: Q*= μ+Ζσ μ=20 σ=5 Ζ=0.3772 Thus, Q*=20-0.3772(5) =18.14 Using minimum cost criteria, 18 firefighters should be added in each unit in order to cover daily absences. 3. On a given day, what is the probability that Kelley-day firefighters will be called in to work overtime? Optimal probability that demand will exceed Q*: P (Demand>Q*) =1-((Cu/ (Cu +Co)) P (Demand>Q*) =1-0.3548 = 0.6542 the probability that Kelley-day firefighters will be called in to work overtime=0.6542 4. Based on the three-unit organization, how many firefighters should be assigned...

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...Question 1: After consider the requirements, we decide to use Mean-Variance preferences method to calculate the utility we can get from investing four stocks: DBS, SPH, GE, SIA. We know the equation: Ur= μ-γ2 Varri=μ- γ2σi2 We can decide weight of four stocks by maximizing the utility of the portfolio. (N=4, T=232) So we suppose: 1. The best portfolio is the one that satisfy owner most, which means have the maxi utility. 2. The owner is afraid of risk, and the risk aversion is measured by γ, γ=3 3. The portfolio will be hold for one year. From equation: Rate=R1-R2R1 We can get return rates of four stocks in different periods since Jan-96 (See sheet 1), and the mean return rates μ for the four stocks are: DBS=0.10814638, SPH=0.0733264, GE=0.12002196, SIA=0.06982988 And we can get the Covariance Matrix: 0.105279399 0.041817263 0.05022109 0.0565126810.041817263 0.062596535 0.025656805 0.0373403140.05022109 0.025656805 0.109059667 0.0386166250.056512681 0.037340314 0.038616625 0.065556537 A= 21.372. B= 1.72756669. C= 0.18175538, D= 0.90015379 And we get σ σDBS=0.32446787, σSPH=0.250193,σGE=0.33024183, σSIA=0.25604011 From the equation: σportfolio2=wi2σi2+wiwjσi,j (i≠j) We can get the σ with different weights (See sheet) Since efficient frontier is equal to the minimum-variance frontier for expected returns larger than the expected return of the global minimum-variance portfolio We also know the......

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...Abstract Conducting, comparing and contrasting surveys are a very important part of research. This assignment will review three various types of surveys and evaluate the information that was derived from them. This paper will also include a simple survey to provide a demonstration of the understanding of a sample size determination and the use of a sample size calculator. Survey Sample Size Introduction: This assignment will compare and contrast three different surveys that relate to three separate venues and determine which one would be the most accurate. Part 1 Entertainment Survey: This article was written about the travel and tourisms importance in some major cities as a source of economical gain. The cities that were polled included 1,110, but only 463 of the cities participated. This survey showed that 54% of the city leaders realized the direct affect that tourism and travel had on their own city’s economies (Poole, 2000). This type of survey can show a media group or a supporting company that more investments should be put into a city to make that particular city travel friendly and provide more entertainment for tourists. By reading this type of survey a company can determine the best areas in which to initiate projects that could attract more tourists as this can increase the company’s revenues. Political Survey: A great example of a political survey is the one that was conducted by The Project for Excellence in Journalism’s News Coverage Index. This...

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...Unit 5 – Regression Analysis Lakeia White American InterContinental University Abstract According to NLREG, “the goal of regression analysis is to determine the values of parameters for a function that cause the function to best fit a set of data observations that you provide.” (NLREG) As one continues to read one will find several different regression test that has been processed from AIU data set to assist them with their study on job satisfaction around the world. Introduction The following report contains the required data needed to find the regression analysis, there is three different test that has been processed regression analysis with benefits & intrinsic, regression analysis with benefits & extrinsic, and regression analysis with benefits & overall job satisfaction. As one continues to read one will find the ending results in each equation and how the results will benefit AIU. Benefits and Intrinsic Job Satisfaction Test #1: Regression Analysis-Benefits & Intrinsic: The line equation for the least square regression line is: y = 0.1697x + 4.4278 X = The independent variable which is Benefits’ Y = The corresponding dependent variable which is Intrinsic’ The slope (m) = 0.1697, and the intercept (b) = 4.4278 Therefore the Correlation Coefficient, r = 0.4061 and the Coefficient Determination, [pic] = 0.1649 [pic]. Benefits and Extrinsic Job Satisfaction Test #2: Regression Analysis-Benefits & Extrinsic: The equation for the......

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...James W. Taylor February 2012 Imperial College EMBA 2012 Quantitative Methods Individual Assignment This assignment consists of two parts. Part A is worth 50% of the marks, and Part B is worth the remaining 50%. Your report for the two parts should consist of no more than 1,500 words. Part A – Blanket Systems Blanket Systems is developing and testing a new computer workstation, OB1, which it will introduce to the market in the next 6 months. OB1 will be sold under a three-year warranty covering parts and labour. The company has decided to subcontract the service support for the warranty and has entered negotiations about the support contract with Fixit Inc. Fixit has proposed two different pricing schemes for the subcontract. The first involves the payment of a fixed fee of $1,000,000 and the second a variable fee of $250 per workstation sold, subject to a minimum fee of $350,000. Under both schemes, the payment will be made one year after the introduction of the workstation to the market at which point the product will be replaced by newer models not covered by the warranty service subcontract. At the moment, there is uncertainty about the sales potential of the new workstation. Sales of OB1 are expected to come from two sources: (i) the successful closure by senior management of a major purchase of 2000 units by a long standing customer, (ii) the efforts of regional sales offices. Given the state of the negotiations with the long-standing customer, the current estimate......

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