...Running Header: RESEARCH DESIGN AND STATISTICS CONCEPTS WORKSHEET Research Design and Statistics Concepts Worksheet University of Phoenix MBA/510 Managerial Decision Making Research Design and Statistics Concepts Worksheet Concept Application of Concept in Scenario Reference to Concept in Reading Research: Knowable Unknowable Researchable USA World Bank will need to know if their new program they want to launch is possible. They know that these types of ventures can be successful and believe their bank is ready. They will need to know more about their customers to be able to move forward. The research firm, Best Market Research will provide services to provide an organized inquiry to assist them in decisions. The research includes "reporting, descriptive, explanatory, and predictive studies" (Cooper, 2003, pp. 26). (Cooper, 2003, pp. 26). Levels of Measurement: • Nominal • Ordinal • Interval • Ratio The nominal data may only be classified but cannot be counted; ordinal data can be ranked and USA World Bank's Bea questioned this data. Whereas Interval data has meaningful difference between values and ratio has a point that can be counted, divided, multiplied are possible. (Lind, et.al., 2004) (Lind, et.al., 2004) Validity and Reliability The USA World Bank directors were very cautious with the new Reward Program and Brian had to make sure the data was thoroughly reviewed and asked Mary if the information was reliable and valid. This...
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...|Individual Fundamentals of |Write a 700- to 1,050-word paper describing the scientific method and the fundamentals of |Mon, 11/18/2013 |10 | |Research Paper |research. Address each of the following in your paper: |11:59 PM MST | | | | | | | | |Define the scientific method. How does it relate to human services research? | | | | | | | | | |What are the steps in the process of scientific inquiry? Why must each of these steps be | | | | |included to support the scientific method? Provide a human services research example of the | | | | |scientific method and identify each step within your example. | | | | | | | | | |Define quantitative research...
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...Simulation with Arena Assignment G2: a multi-echelon inventory policy Christopoulou Evdoxia Kuodzevicius Bernardas 101283 534893 10/12/2012 Preliminaries The given Arena model is a steady-state model, because there is no clear event that could indicate the end of model run and actually we are interested in the long run behavior of the system represented by the given model. Before we start to do the main parts of the assignment, that is design of experiments and optimization, we conduct some preliminary experiments to check if the model could be modified in order to get better results. First we set the number of replications to 30 and we choose the length of each replication be 730 days (two years), which we think should be enough to reach the steady-state. When we run the model with these settings, we get that the mean of the main response variable - average cost - is 568.4 and the half width is equal to 2.37. Although the confidence interval is not extremely wide taking into account the relatively high value of mean, we still perform a check whether it is possible to get more precise results by using common random numbers. To figure out if the model would benefit from the use of CRN we perform a pilot study. In this study we need to have two different scenarios and then we can decide whether it is useful to use CRN by checking the following inequality: { } { } { } and if this inequality holds, then it is worth using CRN in the model. In our case the scenarios differ in three...
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...and statistics are two related but separate academic disciplines. Statistical analysis often uses probability distributions, and the two topics are often studied together. However, probability theory contains much that is of mostly of mathematical interest and not directly relevant to statistics. Moreover, many topics in statistics are independent of probability theory. Probability (or likelihood) is a measure or estimation of how likely it is that something will happen or that a statement is true. Probabilities are given a value between 0 (0% chance or will not happen) and 1 (100% chance or will happen). The higher the degree of probability, the more likely the event is to happen, or, in a longer series of samples, the greater the number of times such event is expected to happen. These concepts have been given an axiomatic mathematical derivation in probability theory (see probability axioms), which is used widely in such areas of study as mathematics, statistics, finance, gambling, science, artificial intelligence/machine learning and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe the underlying mechanics and regularities of complex systems. Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. It deals with all aspects of data, including the planning of data collection in terms of the design of surveys and experiments. The word statistics, when...
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...Chapter 3 Methodology Historical Research Design purpose is to collect, verify, synthesize evidence to establish facts that defend or refute your hypothesis. It uses primary sources, secondary sources, and lots of qualitative data sources such as logs, diaries, official records, reports, etc. The limitation is that the sources must be both authentic and valid. When we think of research, we often think of a laboratory or classroom where two or more groups receive different treatments or alternative training methods. We would then determine if the treatment or training had an impact on some outcome measure. This type of research is the best at predicting cause and effect relationships and is often cited as the most rigorous and standardized form. While the experiments described above have a definite place in the research arena, sometimes we gain the best knowledge by looking into the past rather than into the future. Historical research attempts to do just that. Through a detailed analysis of historical data, we can determine, perhaps to a lesser extent, cause and effect relationships. We can also help prevent the present day teachers, managers, and other users of research from making the same mistakes that were made in the past. Historical research can also mean gathering data from situations that have already occurred and performing statistical analysis on this data just as we would in a traditional experiment. The one key difference between this type of research and...
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...| Syllabus School of Business QNT/TM561 Version 2 Research and Statistics for Process Control | Copyright Copyright © 2009, 2005 by University of Phoenix. All rights reserved. University of Phoenix® is a registered trademark of Apollo Group, Inc. in the United States and/or other countries. Microsoft®, Windows®, and Windows NT® are registered trademarks of Microsoft Corporation in the United States and/or other countries. All other company and product names are trademarks or registered trademarks of their respective companies. Use of these marks is not intended to imply endorsement, sponsorship, or affiliation. Edited in accordance with University of Phoenix® editorial standards and practices. Course Description This course prepares graduate students to apply statistics and probability concepts to business decisions in organizations that focus on process improvement. Students learn criteria for developing effective research questions, including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics, probability concepts, confidence intervals, sampling designs, data collection, and data analysis—including parametric and nonparametric tests of hypothesis and regression analysis. Policies Students/learners will be held responsible for understanding and adhering...
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...marketing plans. Contents [hide] • 1 Scope and requirements • 2 Typical general procedure • 3 Statistical analysis o 3.1 Reliability and validity o 3.2 Types of errors • 4 See also • 5 List of related topics • 6 References [edit] Scope and requirements This section is empty. You can help by adding to it. (July 2010) [edit] Typical general procedure Simply, there are five major and important steps involved in the research process: 1. Defining the Problem. 2. Research Design. 3. Data Collection. 4. Analysis. 5. Report Writing & presentation. A brief discussion on these steps is: 1. Problem audit and problem definition - What is the problem? What are the various aspects of the problem? What information is needed? 2. Conceptualization and operationalization - How exactly do we define the concepts involved? How do we translate these concepts into observable and measurable behaviours? 3. Hypothesis specification - What claim(s) do we want to test? 4. Research design specification - What type of methodology to use? - examples: questionnaire, survey 5. Question specification - What questions to ask? In what order? 6. Scale specification - How will preferences be rated?...
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...Goudy RES/351 July 6, 2015 Tracy Sipma Descriptive statistics Descriptive statistics suggests a straightforward quantitative outline of a data-set which has been gathered. It helps us comprehend the experimentation or data-set in-detail and tells people concerning the mandatory details that help show the data perceptively. Descriptive statistics, we just convey exactly what the data reveals and tell us. Most of the statistical averages and numbers we estimate are essentially illustrative averages. For instance the Dow Jones Industrial tells us about the typical performance of select firms. The grade-point avg. tells us about the typical performance of a pupil in school. The GDP growth rate tells us about the typical performance of a state. Therefore illustrative statistics attempts to catch a sizable group of observations and offers us some concept concerning the data-set. Descriptive statistics aims to describe data set information with summary graphs and tables (Linda Hollis, n.d.). Inferential Statistics Inferential statistics includes drawing the correct conclusions from your statistical evaluation that's been performed using descriptive data. Ultimately, it really is the inferences that make studies significant and this element is dealt with-in inferential data. Most forecasts of the potential and generalizations of a population by analyzing a smaller sample come under the scope of inferential statistics. Many social sciences experiments offer with analyzing a little...
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...on the credibility of the research. The research process involves ways and strategies that enable researchers to analyze and understand the researched information. The research process involves a dedicated system of scientific methodology that can be used by researchers to arrive at the right conclusions. Some terminology learned in this week’s reading includes statistics, population, census, sample, subjects, variables, margin of error, and bias. Statistics has many uses, but perhaps its most important purpose is to help us make good decisions about issues that involve uncertainty. Speaking of statistics, some may ask what statistics are. The meaning of statistics in singular form is the science that helps bring meaning and understanding to the collection, organization, and interpreting of data. When speaking of statistics in plural form it is the actual data that is used to describe the information. In the language of statistics, population refers to the statistical study of the entirety of the characteristic that the study is focused on. While population is usually seen as a group of people, in statistics population could be a group of animals or things in addition to people. The collection of data from individual members of a population is called a census. Due to populations being so large it becomes troublesome to conduct a census, so the data is typically gathered from a sample. When discussing population, sample is a term that will also stand out. According...
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...CarZuma: Car Insurance Claim Case Study Problem Statement A car insurance company, CarZuma, has collected some of the past data about their clients or customers that what are their attributes as well as their insured vehicles attributes while insuring the same. They have heard a lot about the data analytics and are very sure that their competitors are also using some of these techniques to beat the competition. They have to be very focused to their target segment. Please help the company to answer some of their basic questions like: 1. What kind of segments generates better leads? 2. What would be a good target segment? And which segment is a “bad” segment? Solution For a car insurance company, it is important to determine different segments of customers based on the profitability to generate better leads. Hence , we have tried in our analysis to segment the customers that should be targeted for profitability and that which can be considered “bad”, i.e., not profitable to the customers. Reasons Analytics has been used to address the problem: - * Lots of data but little conclusive information * Analytical capability is a Key Competitive Advantage * Information should be appropriate to take action in corporate Our Approach: Steps Followed 1. Identification of Appropriate Data 2. Perform Required Statistical Analysis 3. Segmentation of Customers based on desired criterion 4. Characteristics identification...
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...Institute of Management Sciences Peshawar Bachelors in Business Studies Course Plan Course Title: Statistics for Business Instructor: Shahid Ali Contact Email shahid.ali@imsciences.edu.pk Semester/Duration: 16 Weeks Course objectives : To introduce students to the concepts of statistics and to equip them with analytical tools to be used in business decision making. The course is intended to polish the numeric ability of the students to identify business problems, describe them numerically and to provide intelligible solutions by data collection and inferential principles. Course pre-requisites Intermediate statistics Attendance Policy: Late arrivals are highly discouraged. Any student coming late to a class late by 5 minutes after the scheduled start time will be marked as absent for the day. The teacher reserves discretion, however, to allow or disallow any student, to sit in the class in case of late arrivals. Attendance is not be entertained once the attendance register is closed. Class Project Students will be divided in groups for a class project. Each group will have to nominate a group leader. The details of the project will be made available to the group leader. Class Presentations Each student will have to make at least one individual presentation and one group presentation in the class. The group presentation will be on the project explained earlier. The individual presentations will...
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...UNSW School of Economics ECON1203 Business and Economic Statistics Session 1, 2015 Major project: AdVantage Purpose The idea is of this assignment is to simulate a professional work task involving statistical analysis. It is designed to help students learn about what is involved in undertaking basic statistical analysis to understand a real-world problem, and communicating the results of this analysis to business stakeholders. Context and Problem You are working as a business analyst for Crunch-IT Consultants, a Sydney-based company that specializes in providing statistical consulting services to small and medium-sized companies. Your company is contacted by AdVantage, a designer of online advertisements whose business model is based on selling their design services to businesses that place ads on social media sites. You attend a breakfast meeting with a senior Crunch-IT consultant and AdVantage’s owner-operator, Arnold Valenzuela, to discuss Arnold’s concerns. At the meeting, Arnold says: “Well, first, I’d like to know whether any of the four designers I’ve hired are underperforming relative to their peers. It’s easy to see that there are big differences across my designers in the styles of their ads, and I can’t help thinking that maybe some styles drive traffic better than others – but maybe that’s not the case. Of course, as with any business, ensuring I am offering a value proposition to clients is key to generating repeat business and word-ofmouth...
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...introduce you to SPSS. You are encouraged to actively access the interactive help of SPSS and ask your tutor questions if you get lost. You are expected to spend time outside of class (i) familiarising yourself with SPSS and (ii) completing the homework exercises to complete the Assignment 2 (Research Report) for assessment (20% of your MKTG7510 Grade). SPSS is accessible in all computer labs in Building 39A and 35. Please check current times of access to the computer labs and plan your study time accordingly. 1. How to create a new project? (1) Click on the ‘Start’ menu. Click on ‘All Programs’. (2) You will find the folder ‘Data Analysis and Stats Programs’ - click it to open the folder. (3) Click on the ‘IBM SPSS statistics’ folder. Click on the ‘IBM SPSS Statistics’ icon. (4) Once SPSS is open, the screen (see Fig. 1) asks you what you would like to do: either type in the data manually, or find an existing data file (as circled below). Figure 1: Create a New Project MKTG7510 Market and Consumer Research S1-2014 P. 1/20 2. What are the main components of an SPSS ‘project’? When you open a new ‘project’ you will see the Data Editor window where the raw data are visible. However, there are multiple windows that allow you to interact with the data in different ways. The following is a list of the main components of a ‘project’. i. Data Editor: screen containing all the data and information for one study. You can have multiple worksheets open when working in SPSS...
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...monitor the process on an ongoing basis. By analyzing the new samples, the client could quickly learn whether the process was operating satisfactorily. When the process was not operating satisfactorily, corrective action could be taken to eliminate the problem. The design specification indicated that the mean for the process should be 12. The hypothesis test suggested by Quality Associates follows: H0: μ=12 Ha: μ≠ 12 Corrective action will be taken when H0 is rejected. Samples collected during the first day of operation of the new statistical process-control procedure are in the file Quality.xls. The URL to this dataset is A. Conduct a hypothesis test for each sample at the .01 level of significance and determine what action, if any should be taken, Answer H0: μ=12 Ha: μ≠ 12 Test Statistic used is Z test Decision rule: Reject null hypothesis, if the value of test statistic is greater the critical value. Details Sample 1 Z Test of Hypothesis for the Mean Data Null Hypothesis μ= 12 Level of Significance 0.01 Population Standard Deviation 0.21 Sample Size 30 Sample Mean 11.96 Intermediate Calculations Standard Error of the Mean 0.038340579 Z Test Statistic -1.078057097 Two-Tail Test Lower Critical Value -2.575829304 Upper Critical Value 2.575829304...
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...Academic Stress and Emotional Eating among Selected College Students A Thesis Proposal Presented to the Department of Psychology Far Eastern University In Partial Fulfillment Of the Requirements of the Degree Bachelors of Science in Psychology By Alingayao, Liezel O. Esporlas, Mara Alexandria F. Hablero, Maritony E. Pilones, Edrick V. Siano, Silka Andrea M. Torrecampo, Lyana Nicole B. CHAPTER 3 Research Methodology This chapter contains the research design of the study, which is the description of the participants and the techniques for gathering the respondents. Furthermore, this chapter discusses the data gathering procedures and the statistical treatment of the data. Research Design The researchers used descriptive design, which are the comparative and correlational methods. Descriptive method is used to obtain information concerning the current status of the phenomena to describe what exist with respect to variables or the conditions in a situation (Key, 1997). Comparative study identifies the similarities and the difference between the variables across societies. Correlational study determines whether or not two variables are correlated (Kalla, n.d.). Looking for a variable that seems to interact with each other, so that when you see one changing, you have the idea of how others will change (Devin, 2015). These methodologies were applied in order to find the significant differences and similarities of academic stress and emotional...
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