...Unit 1 - Fundamentals of Statistics Awilda Luciano American InterContinental University Abstract This report will show how data is analyzed by using measures of central tendency and will include the mean, median, and mode. These are various ways to report averages. In addition will also discuss the ranges of results and how they are dispersed. This is call variance or standard deviation (Bluman, 2010). Introduction Researchers in the United States and around the world are to study job satisfaction that will provide insight into employee behavior and attitudes toward their overall job satisfaction. They will take into consideration intrinsic and extrinsic values, and benefits. This will ultimately determine in which areas are in need of more dedication to strengthen the firm’s bottom line. Chosen Variables For this study we would use the qualitative variable of position and the quantitative variable being intrinsic. It would be interesting to see if hourly employees, who are offered overtime are more or less satisfied with the work they do as opposed to employees who do not work overtime. Difference in variable types Qualitative variables are numbers used to categorize the variables. They do not provide numeric value. More so it is used to code, for example in a legend (key) on a data spreadsheet they have categorized males as 1, and females as 2. Therefore in the chart column labeled gender each “1” indicate one male and the same is true for females...
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...Unit 1 - Fundamentals of Statistics Patricia Schneider American InterContinental University Abstract This paper is about the difference between qualitative data and quantitative data. If also will show how a qualitative data chart looks like and how the information is retrieved, it shows what type of information is put in a quantitative chart and how it is also retrieved. What standard deviation and variance is? Why charts and graphs are important tool for communicating facts and figures? Introduction The data that I chose for the qualitative data was the gender, and the quantitative data that I chose was the intrinsic. In this essay you will learn what the differences between qualitative data and quantitative data is? Why graphs and charts are so important in businesses and why they are used in communicating the facts? Chosen Variables The data that I have chosen is the gender and the intrinsic. The gender is qualitative data and the intrinsic is the quantitative data. Difference in variable types The difference between qualitative and quantitative variables is the qualitative has no value or is just a label where the quantitative has a value. The qualitative is a label there is no value of information to be measured. Qualitative is a non numerical measurement on a set of people or objects (Segal, 2011). Quantitative is numerical measurement for a set of people or objects (Segal, 2011). Descriptive statistics: Qualitative variable | | Qualitative by Gender...
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...Quantitative Methods and Analysis Ip U1 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...
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...Running Head: Fundamentals of Statistics Abstract This paper provides an analysis of a small sample on the recent company job satisfaction survey. The focus of the study includes one qualitative data set (company position) and one quantitative data set (intrinsic). To support the analysis the following are also included in this paper: reason why these particular data sets were selected, calculations used, reason why some statistical measures did not apply to certain data sets, and what was learned from the analysis. Additionally, a graphical depiction to support data calculations and a conclusion is included. Introduction A job satisfaction survey is an analysis of employees who are satisfied with their job and the duties they perform. The proceedings of this paper include a qualitative and quantitative data collected during a job satisfaction survey. Quantitative data are data values that are numeric. Whereas, qualitative data are data values that can be place into distinct categories according to some of their character tics or attributes. The study serves as a foundation for future analysis in an effort to make accurate conclusions in regards to understanding global job satisfaction. A logical explanation for selecting the data sets analyzed as well as what was derived from the selected data sets will be provided. Qualitative Data: Company Position For this analysis I have chosen to use the company position data set for my qualitative assessment...
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...Appendix: A Crash Course in Fundamental Statistical Concepts INTRODUCTION Throughout the book we’ve attempted to provide as much statistical background as possible without letting it get too overwhelming. In this appendix we review some fundamental statistical concepts and provide pointers to chapters where the concepts are covered in greater detail. If you’ve never had an introductory statistics class or don’t remember basic concepts such as measuring central tendency and variability, then you can use this appendix for a quick review. TYPES OF DATA The first step in using statistics to make better decisions is to obtain measurements. There are two major types of measurements: quantitative and categorical. Task time, number of usability problems, and rating-scale data are quantitative. Things like gender, operating system, and usability problem type are categorical variables. Quantitative data fall on a spectrum from continuous to discrete-binary, as shown in Figure A.1. Note that the extreme discrete end of this spectrum includes binary categorical measurements such as pass/fail and yes/no. The more discrete the data, the larger the required sample size for the same level of precision as a continuous measure. Also, you’ll usually use different statistical tests for continuous versus discrete data (see Chapters 3–6). Discrete data have finite values, or buckets. You can count them. Continuous data technically have an infinite number of steps, which form a continuum...
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...Click here to download the solutions manual / test bank INSTANTLY!! http://testbanksolutionsmanual.blogspot.com/2011/02/accounting-information-systems-romney.html ------------------------------------------------------------------------------------------------------------------------ Accounting Information Systems Romney 11th Edition Solutions Manual Accounting Information Systems Romney 11th Edition Solutions Manual Accounting Information Systems Romney 11th Edition Solutions Manual Accounting Information Systems Romney Steinbart 11th Edition Solutions Manual Accounting Information Systems Romney Steinbart 11th Edition Solutions Manual ------------------------------------------------------------------------------------------------------------------------ ***THIS IS NOT THE ACTUAL BOOK. YOU ARE BUYING the Solution Manual in e-version of the following book*** Name: Accounting Information Systems Author: Romney Steinbart Edition: 11th ISBN-10: 0136015182 Type: Solutions Manual - The file contains solutions and questions to all chapters and all questions. All the files are carefully checked and accuracy is ensured. - The file is either in .doc, .pdf, excel, or zipped in the package and can easily be read on PCs and Macs. - Delivery is INSTANT. You can download the files IMMEDIATELY once payment is done. If you have any questions, please feel free to contact us. Our response is the fastest. All questions will always be answered in 6...
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...Statistics in Business Lula Mae Blake QNT/351 May 4, 2015 Sara Skowronski Statistics in Business According to dictionary definition it is “the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and regularity on aggregates of more or less disparate elements (2015).” Identify different types and levels of statistics Types and levels of statistics include: Descriptive statistics: numerical and graphical methods that observe patterns in data set to give a summary of the information so it can be presented in an understandable format. Inferential statistics: is sample data that comes up with estimates, decisions, predictions, or other general particulars about a larger set of data. Experimental unit: is a fundamental element – an object (person, thing, transaction, or event). Another fundamental is Population: which is a set of units including people, objects, transactions, or events used in a study. A sample is the subject of the units of a population. Variable: describes the character or property of an individual experimental unit. It is known as univariate data which is a study the looks at only one variable, and bivariate data that deals with the study or relationship of two variables. Measurement: is an important factor of studying variables, as is qualitative and quantitative variables. Describe...
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...China’s House Price: Affected by Economic Fundamentals or Real Estate Policy? © Higher Education Press and Springer-Verlag 2010 Abstract Many theory and empirical literature conclude that house price can reflect economic fundamentals in the long-term. However, by using China’s panel data of 35 main cities stretching from 1998 to 2007, we find that there is no stable relationship between house price and economic fundamentals. House price has deviated upward from the economic fundamentals since government started macro-control of the real estate market. We consider that the mechanism between the house price and economic fundamentals is distorted by China’s real estate policy, especially its land policy. Meanwhile the policy itself is an important factor in explaining the changes of China’s house price. Then we estimate the dynamic panel data model on house price and the variables which are controlled by real estate policy. The result shows: land supply has negative effects on house price; financial mortgages for real estate have positive effects on house price; and the area of housing sold and the area of vacant housing, which reflects the supply and demand of the housing market, has negative effects on house price. We also find some differences in house price influence factor between eastern and mid-western cities. Finally, we propose policy suggestions according to the empirical results. Keywords house price, economic fundamental, real estate policy, dynamic panel data model...
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...Advanced Accounting Beams Anthony 11th Edition Solutions Manual Click here to download immediately!!! http://solutionsmanualtestbanks.blogspot.com/2011/10/advanced-accountingbeams-anthony-11th.html ----------------------------------------------------------------------Advanced Advanced Advanced Advanced Accounting Accounting Accounting Accounting Beams Beams Beams Beams Anthony Anthony Anthony Anthony 11th 11th 11th 11th Edition Edition Edition Edition Solutions Solutions Solutions Solutions Manual Manual Manual Manual -------------------------------------------------------------------------***THIS IS NOT THE ACTUAL BOOK. YOU ARE BUYING the Solution Manual in e-version of the following book*** Name: Advanced Accounting Author: Beams Anthony Edition: 11th ISBN-10: 0132568969 Type: Solutions Manual - The file contains solutions and questions to all chapters and all questions. All the files are carefully checked and accuracy is ensured. - The file is either in .doc, .pdf, excel, or zipped in the package and can easily be read on PCs and Macs. - Delivery is INSTANT. You can download the files IMMEDIATELY once payment is done. If you have any questions, please feel free to contact us. Our response is the fastest. All questions will always be answered in 6 hours. This is the quality of service we are providing and we hope to be your helper. Delivery is in the next moment. Solution Manual is accurate. Buy now below and the DOWNLOAD LINK WILL APPEAR IMMEDIATELY once payment is...
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...Unit 1 - Fundamentals of Statistics Kathtrina Brazell American InterContinental University October 12, 2014 Abstract The purpose of this essay is to examine two of the nine sections of data and include all data points listed in the column for the variable. All of these items will be used to combine into one comprehensive report. Introduction In this assignment I will one section of qualitative data (choose either Gender or Position) one section of quantitative data (choose either Intrinsic or Extrinsic) and provide data. In each section the data will be indentified and the reason for the selection will be stated. Charts and graphs will be provided. An explanation of the importance of charts and graphs will be stated. Chosen Variables The variables that I chose to analyze are gender for my qualitative variable and Intrinsic for my quantitative variable. Difference in variable types “Qualitative data are no numerical measurements of characteristics, such as hair color or the charge of electron. Quantitative data are numerical measurements like weight, height, and age. The two data types need to be handled differently because qualitative characteristics don't have clear mathematical relationships to one another.” (Elementary Statistics) Descriptive statistics: Qualitative variable |Position |Tenure |Job Satisfaction |Intrinsic | |1 |3 |4.9 |6.4 | |1 ...
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...Hi dear students: Feel free to contact us: ggsmtb@gmail.com , I have the Book Resources for the above textbook. all the Book Resources is in pdf or doc files. http://www.solutionsmanualtb.com click it ,it has the list ?Arriba! Comunicación y cultura 6e Eduardo Bacon Nibert Solutions manaual and test bank ¡Arriba!: Comunicación Y Cultura, Brief Edition, 6/E Eduardo Zayas-Bazán, Solutions Manual And Test Bank 2012 Individual Taxation 6e James W. Pratt, William N. Kulsrud Solutions manaual and test bank A Concise Introduction To Logic 11e Patrick Hurley solutions manual and test bank A friendly introduction to number theory 3rd by silverman( solutions manual) A History of Modern Psychology, 10th Duane P. Schultz, Sydney Ellen Schultz instructor manual with test bank Abnormal psychology - thomas f. Oltmanns (5th ed) solutions manual and test bank Abnormal psychology 14e butcher mineka hooley solutions manual and tet bank About Philosophy, 11/E Robert Paul Wolff, instructor manual with test bank Absolute C ++ 4e Walter Savitch Solutions manaual and test bank Absolute C++ 5/E Walter Savitch solutions manual and test bank Accounting 24e Carl Warren James M. Reeve Solutions manaual and test bank Accounting 9e Horngren Harrison Oliver Solutions manaual and test bank Accounting concepts and applications - steve albrecht (11th ed) solutions manual and test bank Accounting for governmental and nonprofit entities 16e by wilson & reck solutions manual and test...
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...Organizational Theory, Design, and Change Jones 6th Edition Test Bank Click here to download the solutions manual / test bank INSTANTLY!!! http://solutionsmanualtestbanks.blogspot.com/2011/10/organizational-theory-d esign-and-change_18.html ----------------------------------------------------------------------Organizational Organizational Organizational Organizational Theory, Theory, Theory, Theory, Design, Design, Design, Design, and and and and Change Change Change Change Jones Jones Jones Jones 6th 6th 6th 6th Edition Edition Edition Edition Test Test Test Test Bank Bank Bank Bank -------------------------------------------------------------------------***THIS IS NOT THE ACTUAL BOOK. YOU ARE BUYING the Test Bank in e-version of the following book*** Name: Organizational Theory, Design, and Change Author: Jones Edition: 6th ISBN-10: 0136087310 Type: Test Bank - The test bank is what most professors use an a reference when making exams for their students, which means there’s a very high chance that you will see a very similar, if not exact the exact, question in the test! - The file is either in .doc, .pdf, excel, or zipped in the package and can easily be read on PCs and Macs. - Delivery is INSTANT. You can download the files IMMEDIATELY once payment is done. If you have any questions, please feel free to contact us. Our response is the fastest. All questions will always be answered in 6 hours. This is the quality of service we are providing and we hope to be your...
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...Hypothes9 9.1 Fundamentals of Hypothesis Testing: One-Sample Tests A Connection Between Confidence Interval Estimation and Hypothesis Testing Can You Ever Know the Population Standard Deviation? USING STATISTICS @ Oxford Cereals, Part II Fundamentals of Hypothesis-Testing Methodology The Null and Alternative Hypotheses The Critical Value of the Test Statistic Regions of Rejection and Nonrejection Risks in Decision Making Using Hypothesis Testing Hypothesis Testing Using the Critical Value Approach Hypothesis Testing Using the p-Value Approach 9.4 Z Test of Hypothesis for the Proportion The Critical Value Approach The p-Value Approach Potential HypothesisTesting Pitfalls and Ethical Issues 9.5 9.2 t Test of Hypothesis for the Mean (S Unknown) The Critical Value Approach The p-Value Approach Checking the Normality Assumption One-Tail Tests The Critical Value Approach The p-Value Approach 9.6 Online Topic: The Power of a Test USING STATISTICS @ Oxford Cereals, Part II Revisited CHAPTER 9 EXCEL GUIDE CHAPTER 9 MINITAB GUIDE 9.3 Learning Objectives In this chapter, you learn: • The basic principles of hypothesis testing • How to use hypothesis testing to test a mean or proportion • The assumptions of each hypothesis-testing procedure, how to evaluate them, and the consequences if they are seriously violated • How to avoid the pitfalls involved in hypothesis testing • Ethical issues involved in hypothesis testing U S I N G S TAT I S T I...
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...Research, Statistics, and Psychology Psychology is the scientific investigation of mental processes and behavior (Kowalski & Westen, 2007, p. 3). During the late 19th century, psychology became an actual science because of the fascination of human behavior. Psychologists use observation to measure human behavior better to understand mental and biological processes, motives, and personality traits. Human behavior may be understood through applied and academic science (Psychology Majors, 2011). Based on this, research using the scientific method is necessary for statistical psychology. Early research and use of scientific method in psychology included the works of Edward Titchener. Titchener used structuralism to explore aspects of the mind. Research through this method focused on introspection, or individual conscious experience. Titchener used a table method similar to a chemistry periodic table to study human behavior. Titchener believed experimentation was the only scientific method to use for the study psychology (Northern Illinois University, 2003). A paradigm in psychology is a set of theoretical assertions that provide a model, abstract picture, or object of study (Kowalski & Westen, 2007, p. 11). A paradigm is a set of shared metaphors that compare any object of study through investigation. Many modern psychologists use innovative approaches to study human behavior to support traditional methods of psychology through use of research using the scientific method...
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...Journal of Applied Finance & Banking, vol.1, no.3, 2011, 125-138 ISSN: 1792-6580 (print version), 1792-6599 (online) International Scientific Press, 2011 Stock Market Analysis in Practice: Is It Technical or Fundamental? Gil Cohen1, Andrey Kudryavtsev2 and Shlomit Hon-Snir3 Abstract Investors use varies tools in the investment process. Some use technical or fundamental analysis, or both in that process. The aim of the following survey research is first, to examine differences between professional portfolio managers to amateur investors in their approach towards technical and fundamental analysis. Second, we want to study the difference of use of fundamental and technical tools in the buying versus selling stocks. We used online survey in one of the leading business portals in addition to asking professional investors in a leading investment house in Israel. Our results show no significant difference between professional and non-professional investors in terms of how frequently they use fundamental and technical investment tools. Both groups of investors use more frequently fundamental tools than technical when they make buy/sell decisions. We also found that non-professional investors use more fundamental tools such as "analysts' recommendations" when they buy stocks and more technical tools such as "support and resistance lines" when they sell stocks. Moreover, our study Economics and Management Department...
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