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    Data Analysis‚ Presentation & Interpretation Prof. Dr. Md. Nazrul Islam Ph.D 1 Data Analysis Plan The appropriate methods of data analysis are determined by your data types and variables of interest‚ the actual distribution of the variables‚ and the number of cases. 2 Data Management 3 Why prepare a plan for processing and analysis of data? All information has been collected in a standardized way Not collected unnecessary data which will never be analyzed A statistical analysis plan should

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    research process. We decided to use the management-research hierarchy model as a basis for our research. The initial research that was conducted was informational. The informational research was to find out how other hospitals react to a hurricane. The problem with this type of search was that a hospital will not have a specific hurricane plan. We had to change our informational outlook. In other words we expanded our search category. A hurricane is considered a disaster. To be specific it is a natural

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    Data Collection Methods

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    BOC-008-0312/2007 DATA COLLECTION METHODS Methods of data collection. The term data means groups of information that represent the qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs‚ images‚ or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which information and knowledge are derived. Data can be classified into primary and secondary data. In order to

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    DATA COLLECTION

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    DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information.  Gives us precise & consistent information because clarifications can be made.  Questions not fully understood by the respondent

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    Quantitative Data Analysis Project 1. a) My research question is “Does the type of community you grow up in‚ and if your parents make a special effort to expose you to other cultures‚ have an effect on how many friends you have who are gay/lesbian?” b) My dependent variable (DV) is “how many friends do you have who are gay/lesbian”‚ and my two independent variables (IV) are “type of community the respondent grew up in”‚ and “did your parents make a special effort to expose you to other cultures

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    Section:04 Spring2010‚ Email ID:0630059 I have asked 20 people who live in Mirpur about their choice of soft drink they used to buy. Their answer s(my data set) are given below. Dataset 01: mojo mojo mojo mojo rc coke rc rc sprite coke mojo rc rc lemu lemu sprite lemu mojo sprite 7up ice Qualitative data analysis: from this data set we get to know the name and the number of the brands they choose and 2o people’s frequency of choosing among these brands. class Frequency

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    Quantitative Methods of Data Analysis Sales Force Survey Respondent number: 01 1. Are you male or female? (1) Male (2) Female 2. What is the name of your employer? (1) Jones and Sons (2) Smith and Company (3) Tomkins 3. In which area of the country do you work? (1) North (2) South 4. Please circle your response to the following three questions‚ using the following scale: 1 “strongly agree” 2 “agree” 3 “uncertain” 4 “disagree” 5 “strongly disagree” 4a) In general

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    Data Interpretation

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    Interpreting your data is a process that involves answering a series of questions about the research. We suggest the following steps: 1) Review and interpret the data "in-house" to develop preliminary findings‚ conclusions‚ and recommendations. 2) Review the data and your interpretation of it with an advisory group or technical committee. This group should involve local‚ regional‚ and state resource people who are familiar with monitoring and with your product. They can verify‚ add to‚ or

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    Methods of Data Collection

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    METHODS OF DATA COLLECTION BY ADEDOYIN SAMUEL ADEBAYO INTERNATIONAL BLACK SEA UNIVERSITY TBILISI - GEORGIA MA IN EDUCATION STUDENT NO:12500151 LECTURER: PROF. IRINA BAKHTADZE METHODS OF COLLECTING DATA Introduction: Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. Data collection methods for impact evaluation vary along a continuum. At the one end

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    data protection

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    ict policy Data Protection ICT/DPP/2010/10/01   1. Policy Statement 1.1. Epping Forest District Council is fully committed to compliance with the requirements of the Data Protection Act 1998 which came into force on the 1st March 2000. 1.2. The council will therefore follow procedures that aim to ensure that all employees‚ elected members‚ contractors‚ agents‚ consultants‚ partners or other servants of the council who have access to any personal data held by or on behalf of the

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