...Standard Deviation Abstract Paper Miguel Ramos, Waleska Molina, Pollyana Cotto, Jessica Casiano, QRB 501 Quantitative Reasoning for Business University Of Phoenix October 30, 2013 Prof. Angel Melendez-Melendez Standard Deviation Abstract Paper The purpose of this paper is to write a basic abstract for each article selected by the member of the learning team and establish for each article the purpose of the study, the research question(s), the hypothesis of the study, and the main findings of the study. The articles selected by each members of the learning team were: Explaining satisfaction in double deviation scenarios: the effects of anger and distributive justice (Jessica); Consumer Socialization in a Wired World: The Effects of Internet Use and Parental Communication on the Development of Skepticism to Advertising (Waleska); Real Estate in the Real World: Dealing with Non-Normality and Risk in an Asset Allocation Model (Pollyanna); and Social network productivity in the use of SNS. (Miguel). In the student (Jessica) article is an article in where the research has shown that more than half of attempted recovery efforts only reinforce dissatisfaction, producing a double deviation effect. Surprisingly, these double deviation effects have received little attention in service marketing literature. To fill this gap, this article aims to develop and empirically test a model of how customers form satisfaction judgments in double deviation scenarios. The article seeks...
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...QRB 501 WEEK 4 STANDARD DEVIATION A+ Graded Tutorial Available At: http://hwsoloutions.com/?product=qrb-501-week-4-standard-deviation Visit Our website: http://hwsoloutions.com/ Product Description PRODUCT DESCRIPTION QRB 501 week 4 Standard Deviation, Standard Deviation Introduction Standard deviations (SD) and variance are commonly used statistical tools that measure dispersion, risk, and predict certain outcomes in the business world through data. Through decades of academic research, investors and businesses have settled on standardized norms or patterns for various types of calculations, using standard deviations. Data sets, like mean or median, are manipulated to make an inference. This abstract will highlight five articles where the SD is assimilated in mixt conditions or settings. Each article will classify the purpose, any research questions, hypothesis, and the main findings. What to Use to Express the Variability of Data: Standard Deviation or Standard Error of Mean? Statistics is a major element in any industry, failing to provide adequate information to the reader can easily mislead the receivers. Therefore, using the correct highlights to display the variability of data, can minimize error and clarify any study. According to Barde (2012), “It is depressing to find how much good biological work is in danger of being wasted through incompetent and misleading analysis” (p. 113). Case in point, this experiment was based on the hypothesis that applying...
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...[Type the company name] | [Type the document title] | [Type the document subtitle] | | | [Pick the date] | [Type the abstract of the document here. The abstract is typically a short summary of the contents of the document. Type the abstract of the document here. The abstract is typically a short summary of the contents of the document.] | Contents Executive Summary 3 Introduction 3 Analysis and methods section 3 Do charges incurred by a patient depend on the type of insurance the patient has? If so how? 5 Do charges incurred by patients depend on which doctor treats them? If so how? 5 Bibliography 7 Appendix 8 Executive Summary Hospital are required to bill for individual items or services provided to a patient. Patients admitted to hospitals are charged for their room, supplies, drugs, labs, x-rays, operating room time and other care. It is important to know that hospitals submit a bill to the insurance company for all the services provided to the patient and the payor determines the amount owed to the hospital based upon the insurance company’s contract with the hospital for specific services [ (Henry Ford Health) ]. Introduction The purpose of this case study is to understand the relationship between hospital charges for certain physicians and insurance carriers. Cost finding and cost analysis are the techniques of allocating data that we were provided as part of the case study. The information that we are going to use to analyze...
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...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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...Standard Deviations in the Business World Ilyas Khairi QRB/501 March 22, 2015 Erica Woods Standard Deviations in the Business World Case 1 Purpose of the Study There has been a financial crisis happening around the world over the last decade. It is important to understand why and what is impacting the financial crisis and how it can be improved. Black Swans in this study are events that were the Achilles heel of financial models. There are usually 25 standard deviations evens that happen several days in a row. The purpose of this study is to discuss the implications of black swan events in asset pricing and risk management. Black Swan events disappeared for S&P Index returns are measured relative to standard deviation of the conditional S&P distribution. In this study a one day lagged VIX is used to provide an understandable measure of conditional S&P standard deviation (Marsh & Pfeiderer, 2012). The Research Question How did economists and others get it so wrong and what can be done to change it? Have risk modelers created an industry whose intense technical debates with each other lead gullible outsiders to believe that this is a profession with genuine expertise? Hypothesis "Extant models that properly encompass predictable shifts in investment risk ameliorate much of the alleged "black swan" problem and securities markets do in fact seem to be attuned to the risk of rare economic disasters and "price in" their risk"(Marsh & Pfeiderer, 2012...
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...Abstract Hearing protectors are used in business to lessen the affects of noise exposure in construction, forestry, or other industrial settings. The purpose of this study was to analyze the relationship between attenuation performance and standard deviation. Businesses expect that hearing protectors provided to employees will reduce the noise level that they are exposed to, resulting in noise at an acceptable level. The hypothesis was that the attenuation performance of the hearing protector would fall within a reasonable range of values, or a norm. Research questions are whether or not various hearing protectors are reliable based on their attenuation performances, how reliability varies adversely with the mean attenuation and standard deviation, and the implications for the utilization of hearing protectors in the workplace. Test data indicated that attenuation performance varies based on the type of hearing protector used and the person using it; however, hearing protection devices should be designed so that the majority of people experience similar levels of attenuation. Results of the study also indicate that a large number of staff who use hearing protectors are actually protected more than necessary. Because of this they may be less likely to use the hearing protectors because they feel that they do not need them, especially in environments where they may experience lower noise levels. Exposure to high levels of workplace noise regularly can cause harm to employees’...
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...Running Head: QUANTITATIVE METHODS AND ANALYSIS Quantitative Methods and Analysis By: Alicia Paulette American Intercontinental University 02-08-12 Abstract For this assignment, American Intellectual Union (AIU) has gathered a group of researchers from around the United States and internationally to study the topic of job satisfaction. This study will include examining data, analyzing results, and discussing the results gathered with other researchers that participated in this study. Job satisfaction is crucial to companies whether large or small, and with a thorough knowledge of this topic, it allows managers to gain awareness into the human behaviors that can build up the company’s bottom line. This paper will be examining gender and intrinsic job satisfaction while discussing the results of this evaluation in full detail. Method The data that has been selected for qualitative data is gender. The reason why gender was selected for qualitative data is because this may have an impact on job satisfaction in businesses. In many cases, the average calculation for the mean, median, and mode are unsatisfactory methods to determine qualitative data. However, the gender within this study is labeled with 1 and 2, and this would be considered appropriate. The mean that was calculated in this assignment was 1.275 rounded to 1.28 which demonstrated that the sample consisted of more men than women. The median was found by taking all of the numbers and putting them into numerical...
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...Unit 1 - Fundamentals of Statistics ReneeCarina Benavente American InterContinental University BUSN311-12005B-11 Abstract In many organizations surveys are done to determine the job satisfaction of their employees. Job satisfaction is important for theses organizations large or small because it makes the aspects of the job easy for employees. Analyzing the data within these surveys is to find the overall job satisfaction using qualitative and quantitative variables. Introduction A word wide study of job satisfaction has been assembled by a large organization called American Intellectual Union (AIU). I have been chosen to be a part of this massive global undertaking. I will be analyzing the data from this study and results survey using AIU’s data set. Chosen Variables In examining the data set and results of AIU’s employees I chose to analyze the positions of the employees as my qualitative variables and the intrinsic job satisfaction as my quantitative variables. I chose to analyze these two specific variables because as an hourly or salary paid employee their internal job satisfaction is very important to know. It is best to understand the job satisfaction of employee position within the organization to better the work environment. Qualitative and Quantitative Variables Using qualitative and quantitative variables you have to know and understand the difference between the two variable or the results would not add up. Quantitative data is data that...
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... 2 Abstract In this assignment, I am a manager at a major bottling company and the customers have begun to make complaints that the bottles of the brand of soda produced at the company I work for have less than the advertised 16 ounces of soda. My boss wants me to solve the problem and has asked me to investigate into the situation. I have the employees on the floor pull 30 bottles off the line at random from every shift which I assume is from three shifts and I have asked the employees involved to measure the amount of soda there is in each of the 30 bottles. The Mean, Median and Standard Deviation The mean or average of a data set is simply the average of all the numbers in the set. To find the average mean add up all the numbers in the data set and divide by how many numbers in the set. In this situation, there are 30 bottles with the weight of 14.5, 14.6, 14.7,14.8,14.9,15.3,14.9, 15.3, 14.9,15.5,14.8,15.2,15,15.1,15,14.4,15.8,14,16,16,15.8,14.5,14.1,14.2,14,14.9,14.7,14.5, 14.6,14.8, and 14.6. The total is 446.1 and divided by 30 and the mean is 14.87. The median is calculated by arranging the data in order and selecting the middle point and in this data set the median is an even number so we have to add the two middle numbers and divide by two which is 14.8 + 14.8/2 and the median is 14.8. The standard deviation is the sum of the values which is 0.545 rounded off to 0.55. 95% Confidence...
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...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 what...
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...Running Head: ADOLESCENCES ATTITUDES TOWARDS MENTAL ILLNESS ! ! 1 Adolescences Attitudes Towards Mental Illness Kellie Walker Student Number- 11546766 Charles Sturt University Subject: PSY102 Subject coordinator: Rabul Islam Assignment No: 2 Due Date: 15.09.2014 Word Count: 2,086! ADOLESCENCES ATTITUDES TOWARDS MENTAL ILLNESS Abstract 2 There is a large amount of research evidence which suggests that social acceptance is associated with lower levels of depressive symptoms and a greater willingness to seek mental health support. The aim of this study was to gain a better understanding of the extent to which a group of adolescents perceived mental illness as being caused by physical and psychosocial causes and their degree of social acceptance. The participants involved in this study were eight boys and eight girls with a mean age of 14.06 (SD=0.92), who were randomly selected from select high schools in NSW. Participants were presented with a vignette and asked to indicate their level of agreeance with a number of closed ended questions. The results of this study found that adolescents showed less social acceptance of behaviour that was perceived to be related to mental illness. Furthermore, the more mental illness was perceived the greater chance it was attributed to a belief in psychosocial causes. ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! Kellie!Walker!11546766! ADOLESCENCES ATTITUDES TOWARDS MENTAL ILLNESS Adolescences Attitudes Towards Mental Illness 3 ...
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...Unit 1 - Fundamentals of Statistics American InterContinental University Abstract This week we were asked to complete a survey for American Intellectual Union. I chose to focus on gender and intrinsic job satisfaction. Below you will find my data and analysis listed on a chart and explained in great detail. Introduction Research was conducted for American Intellectual Union based on gender and intrinsic job satisfaction. I have completed my finding and below you will find charts and graphs to better explain the study. Chosen Variables The qualitative variable I have chosen to study is gender and the quantitative variable is Intrinsic. I thought it would be interesting to see if the male species still overshadow women in the work place. I also thought I would be interesting to see which gender is more satisfied with their job performance. Difference in variable types The variables I choose to analyze are Gender and Intrinsic Job Satisfaction. Since there are no significant numeric values or instruction connected with the two levels the variable gender is nominal. Intrinsic Job Satisfaction is based on ratio; numerical values are connected with this variable with a profound zero. The appropriate to use for the gender variable is mode, it measured central tendency which is most frequency occurrence. Descriptive statistics: Qualitative variable |Gender |Frequency |Relative Frequency | |1 |53 ...
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...agreeing to the following honor pledge, which is consistent with the rules described in the laboratory manual, the syllabus and in class: On my honor, I / we pledge that I / we have neither given nor received inappropriate aide in the preparation of this lab report. The only laboratory reports from prior semesters that I / we have viewed, reviewed, or used in any way were provided by the laboratory TAs during office hours. I / we have reviewed the consequences of using prior laboratory reports in the laboratory manual. GRADE: / Grader Initials: ________ COMMENTS (grader / students) ME 3057 Score Tally for Reports: Abstract: ____________ / Introduction and Procedure: ____________/ Experimental Results: Discussion: Conclusions: Display Format: ____________ / ____________ / ____________ / ____________ / ME3057, Spring 2012 Abstract The objective of this lab was to illustrate the concepts while measuring properties of realworld systems. Physical measurements of objects are associated with uncertainty which much be taken into account when analyzing a problem using measurements. Propagation of uncertainty arising from individual uncertainties yields a single combined uncertainty for the calculated value. The...
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...American InterContinental University Abstract In this paper for the Unit 1 IP it will talk about a study for American Intellectual Union (AIU). In this paper it will talk about the examined data and the results. Also the paper talks about qualitative data and quantitative data. Introduction The Unit 1 Individual project states a scenario. This scenario is that American Intellectual Union (AIU) has assembled a team of researchers in the United States and around the world to study job satisfaction. Also with the scenario we are to write about the study and the findings from the data of the research. The results will allow managers all over to be able to have job satisfaction within the companies no matter what size. Chosen Variables The first variable that was chosen to analyze is Gender for the qualitative variable. This is so because it would give a better view on why someone does or does not have job satisfaction and if it is because of the gender of the individual. “Qualitative variable is when observations cannot be described meaningfully in terms of numbers.” (Qualitative variable and quantitative variable, 2000) For quantitative variable Intrinsic was chosen. “A quantitative variable is observations that can be characterized in numerical terms.” (Qualitative variable and quantitative variable, 2000) Difference in variable types There is a difference between qualitative and quantitative variables. Qualitative data is data that you are not able to...
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