...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...
Words: 624 - Pages: 3
...(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 Quantitative showing how behavior in the home. I choose this because I work with children at our church and notice that boys this age are less involved in activities than girls. Difference in variable types The difference between qualitative and quantitative variables are Qualitative variables are non numeric which means I can discuss the gender of a person. Quantitative variables are numeric which...
Words: 446 - Pages: 2
...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...
Words: 930 - Pages: 4
...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 what the subject looks...
Words: 891 - Pages: 4
...Introduction There are five different data collection methods, using articles I will provide two different examples of data collection. Body 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...
Words: 425 - Pages: 2
...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 would...
Words: 771 - Pages: 4
...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 Extrinsic...
Words: 910 - Pages: 4
... ROOM: L330 INSTRUCTOR: MR. ENRICO L. CORDOBA (lance_emeric@yahoo.com) COURSE DESCRIPTION: MANASCI (MANAGEMENT SCIENCE) is a 14-week course on the study of quantitative techniques in business decision-making. The course covers linear programming models and its special algorithms; network (PERT/CPM) models; decision-making theories and processes; and decision tree construction and analysis. LEARNING OUTCOMES (LO): On completion of the course, the student is expected to be able to do the following: |ELGA |LEARNING OUTCOME | |Effective communicators |To present in class the application of quantitative techniques to management decision | | |models through case analysis | |Critical and creative thinkers |To develop analytical thinking and proper reasoning in the application of quantitative | | |techniques to management decision models | | |To acquire the essential skills for the proper use of quantitative techniques in | | |business decision-making | |Technically...
Words: 1361 - Pages: 6
...may not be fond of statistics, but the potential relevance of a quantitative approach should be considered and similarly, the idea of qualitative analysis and conducting your own research may yield valuable data. The possibilities of using quantitative and qualitative data are also discussed. What approach should I take - qualitative or quantitative? Your approach, research design, and research question are all connected. 'Approach' means something more than the type of data you use – it refers to your overall orientation to research and the type of claims you will make for your study. Dissertations can be based on either quantitative or qualitative data, or on a combination of both. How you choose this may depend on your preferences and abilities, and the suitability of particular approaches to your topic. You need to be able to justify why you have chosen to use such data. Quantitative data is particularly useful when you wish to discover how common particular forms of behaviour such as illegal drug use are for a particular age group. Qualitative data is particularly useful when you wish to find out why people engage in such behaviour. Think about the Research Methods modules you have taken so far. Think about the different kinds of studies you have read for other modules. There is plenty of scope to use the approaches and methods that you are most comfortable with. You need to justify your approach and methods and to cite appropriate literature to help you do this....
Words: 794 - Pages: 4
...Quantitative and Qualitative Quantitative and Qualitative Research The purpose of this paper is a comprehensive comparison of quantitative vs. qualitative research techniques for MBA 5210 Business Statistics. The paper will weigh the relative merits and demerits of each providing interpretation of the potential applications of qualitative and quantitative research to various fields of study as per the requirements of the paper. Qualitative and Quantitative Overview Researchers have long debated the relative merits quantitative vs. qualitative research techniques have to offer field researchers. It is important that one understand the implications of each in order to weigh the relative importance and relevance of each to the field. Qualitative and quantitative methods have a long history of providing researchers with information regarding specific events, phenomena and subjects. The primary difference between the two forms of investigation is the methods each employs to uncover the ‘reality’ behind a given situation. These separate realities are explored below. Benz & Newman (1998) suggest that qualitative and quantitative research methods align in a continuum. Qualitative research derives its foundation in naturalistic philosophy, whereas quantitative research focuses on positivistic philosophy (Benz & Newman, 1998). Qualitative research is more likely to adopt an individual phenomenological perspective, whereas quantitative approaches tend to emphasize...
Words: 1860 - Pages: 8
...A. Quantitative Techniques with reference to time series analysis in business expansion. B. Quantitative techniques are mathematical and reproducible. Regression analysis is an example of one such technique. Statistical analysis is also an example of a quantitative technique. C. Quantitative techniques are applied for business analysis to optimize decision making IE profit maximization and cost minimization). It covers linear programming models and other special algorithms, inventory and production models; decision making process under certainty, uncertainty and risk; decision tree construction and analysis; network models; PERT and CPA business forecasting models; and computer application. Examples of qualitative methods include: * action research aims to contribute both to the practical concerns of people in an immediate problematic situation and to the goals of social science by joint collaboration within a mutually acceptable ethical framework; * case study research - a case study is an empirical enquiry that investigates a contemporary phenomenon within its real-life context; * ethnography- the ethnographer immerses her/himself in the life of people s/he studies and seeks to place the phenomena studied in its social and cultural context. However examples of quantitative methods now well accepted in the social sciences and education include: * surveys; * laboratory experiments; * formal methods such as econometrics: * numerical methods...
Words: 475 - Pages: 2
...IMPORTANCE OF QUANTITATIVE TECHNIQUES IN MANAGERIAL DECISIONS *P.Murugesan Abstract The term ‘Quantitative techniques’ refers to the methods used to quantify the variables in any discipline. It means the application of subjects like mathematics and statistics, econometrics and operations research to understand and solve problems.. It is a study of the application of differential calculus, integral calculus and matrix algebra, measures of central tendencies, measures of averages, correlation and regression etc. It also includes the application of the techniques of management science such as Linear programming, Game theory, CPM and PERT analyses to business problems. The relevance and usefulness of Quantitative Techniques in seven functional areas of Management are discussed in this paper. Introduction: Truly, the importance of Quantitative proficiency cannot be over emphasized to Management Professionals! This body of knowledge involving quantitative approaches has been given various names likeBusiness Mathematics, Business Statistics, Operations Research, Decision Science and Management Science. All are concerned with rational approaches to decision making based on the scientific method. For example, consider the following simple mathematical problem: A) “A Mayor of a town wants to improve the bus services between 2 destinations falling within his district. The destinations are 1 hour journey apart and he wants the bus services in such a way that a traveler need not wait for more...
Words: 1980 - Pages: 8
...Accredited Tertiary Courses Listing 2012 Accredited Tertiary Courses Listing 2012 – as at 26 September 2012 1 2012 Accredited Undergraduate Courses AUSTRALIAN CAPITAL TERRITORY The Australian National University University of Canberra NEW SOUTH WALES Australian Catholic University Australian Institute of Higher Education Avondale College Charles Sturt University Kings Own Institute Macquarie University Southern Cross University Top Education Institute The University of New England The University of New South Wales The University of Newcastle The University of Sydney University of Technology, Sydney University of Western Sydney University of Wollongong Williams Business College NORTHERN TERRITORY Charles Darwin University QUEENSLAND Australian Catholic University Bond University Central Queensland University Christian Heritage College Griffith University James Cook University Queensland University of Technology The University of Queensland The University of Southern Queensland University of the Sunshine Coast SOUTH AUSTRALIA Flinders University Kaplan Business School The University of Adelaide University of South Australia Open Universities (conferred by Uni of SA) TASMANIA University of Tasmania VICTORIA Australian Catholic University Cambridge International College Carrick Higher Education Deakin University Holmes Institute Holmesglen Institute of TAFE La Trobe University Melbourne Institute of Technology Monash University Northern Melbourne Institute of TAFE RMIT...
Words: 16200 - Pages: 65
...using different methods or techniques such as direct method, swing weight method, equivalence lottery method, and hierarchical weight method. Advantages and Disadvantages of Methods There are various advantages and disadvantages of using various methods like indifference trade-off method, swing weight method, direct weight method etc. for developing or calculating tradeoff weights. In the context of benefits, swing weight method is quick and easy to operate that can help the decision maker to make appropriate decision by developing effective tradeoff weights (Bekiaris & Nakanishi, 2004). In addition, all these methods are useful in a project for a decision maker in spatial decision problems. The main advantage of tradeoff analysis methods is the ability to provide different relative weights to each of the alternative or attributes. By using these methods, it is possible to derive weights from a ranking of limited alternatives and easy to achieve an agreement between decision makers. On the other hand, historical weights are still valid in decision and risk analysis that can be helpful to effectively develop tradeoff weights (Guinto, 2008). At the same time, there are some disadvantages of using these methods for developing tradeoff weights. Some of them are as follow: There is no assurance that swing weight method provides accurate eliciting weights. Some of these methods are difficult to calculate appropriate tradeoff weights. These methods are useful to determine...
Words: 984 - Pages: 4
...www.VLCglobal.com/support VLC Course Descriptions Quantitative Analysis for Decision Making Quantitative Analysis for Decision Making An Immersive Virtual Reality Learning Experience 2011-2012 Course Description This course provides the student with the concepts, methods and tools for the application of logical and quantitative analysis to business decision making and problem solving. It familiarizes the student with a wide range of software and other classical and contemporary resources related to decision and problem analysis, including basics of logic and decision making, principles of optimization, probabilistic distributions, linear programming, simplex, queuing and transportation problems, break even analysis, inventory management, forecasting and simulation. The course highlights the benefits as well as the limits of quantitative analysis in a real-world context. This course may be adapted for the graduate and undergraduate levels. Materials Readings, assignments, problems and assessments are integrated into the courseware. Any additional materials will be assigned by the instructor at the start or during the course. Course Outline & Assignments Assignments will change from time to time as new resources become available, contemporary events have bearing on the topics, or the social, legal, or economic environments change. FUNDAMENTALS OF DECISION MAKING AND PROBLEM SOLVING (Module One, 4-6 hours) • • • • • • • • • • • • • • ...
Words: 1075 - Pages: 5
