See our User Agreement and Privacy Policy. analysis • Data have their own meaning • Stating limitations weakens the evaluation • Computer analysis is always easier and better . 1. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. The preparation and reproduction of figures are more time-consuming and more expensive than those of tables. Descriptive Analysis  refers to the description of the data from a particular sample;  hence the conclusion must refer only to the sample. Data analysis is a process for obtaining raw data and converting it into information useful for decision-making by users. A total of 102 responses were received from the targeted 180 potential respondents, which constitutes a 56.7% response rate for the survey. Its purpose is to reduce data to intelligible and interpretable Looks like you’ve clipped this slide to already. Chart and Diagram Slides for PowerPoint - Beautifully designed chart and diagram s for PowerPoint with visually stunning graphics and animation effects. ANALYSIS and INTERPRETATION provide answers It is built in with 16:9 Full HD resolution. Storytelling 7. 1. See our Privacy Policy and User Agreement for details. *6. highly opinionated and sweeping statements should be avoided. and tested. The analysis and interpretation of data is carried out in two phases. The 3. rd. Indeed, there are various ways in which this can be done. A final aspect of data interpretation involves making decisions on how to present and explain your findings to others. PPT - Data Analysis and Interpretation - Free download as Powerpoint Presentation (.ppt / .pptx), PDF File (.pdf), Text File (.txt) or view presentation slides online. Chapter 3 PRESENTATION, ANALYSIS, AND INTERPRETATION OF DATA Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Now customize the name of a clipboard to store your clips. If these need to be included at all, they should be placed in the appendix. The Adobe Flash plugin is needed to view this content. Charts, graphs, and images 4. Qualitative data analysis is a search for general statements about relationships among categories of data." The grantee presentation and summary meeting will no longer occur. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. This involves interpreting data to answer research questions and making research findings be ready for dissemination. Second, it is usually the best way to show the data to others. Data visuals are also used to communicate MEAL results to meet key stakeholder needs. Intro and research design. *2. individually scored raw data should not be reported in the text. It is necessary to make use of collected data which is considered to be raw data. One feels the side and thinks the elephant is like a wall. It is a messy, ambiguous, time- consuming, creative, and fascinating process. 2 1. Clipping is a handy way to collect important slides you want to go back to later. Data interpretation and analysis is an important aspect of working with data sets in any field or research and statistics. Now customize the name of a clipboard to store your clips. 4. You can change your ad preferences anytime. See our User Agreement and Privacy Policy. If you continue browsing the site, you agree to the use of cookies on this website. Provide organization and meaning to data. More often than not it will be evident from the exam question which method you should use. Chapter 4 PRESENTATION, ANALYSIS AND INTERPRETATION OF DATA Building Capacity in Evaluating Outcomes Unit 6: Analyzing and interpreting data 3 Things aren’t always what we think! Clipping is a handy way to collect important slides you want to go back to later. Analysis and Interpretation of Data for Research. View by Category Toggle navigation. Analysis and presentation of data 4.1 INTRODUCTION This chapter discusses the data analysis and findings from 107 questionnaires completed by adolescent mothers who visited one of the two participating well-baby clinics in the Piet Retief (Mkhondo) area during 2004. Before the calculation of descriptive statistics, it is sometimes a good idea to present data as tables, charts, diagrams or graphs. The on-site review will focus on the collection, reporting, and analysis of data. Social analysis - (it is frequently qualitative because the understanding of the phenomenon under study may not require quantification or because the phenomenon itself does not lend itself to precise measurement). We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. Use labels instead of legends. Data Analysis, Presentation and Interpretation of Data 1. PPT – Using and Interpreting Data PowerPoint presentation | free to view - id: 17a6da-ZDc1Z. Despite the inherent independence of tables and text, include in the body of the report sufficient analytical and summary statements derived from each table to provide the reader a comprehensible and logical interpretation of findings. Therefore, raw data need to be summarized, processed, and analyzed. Template is exported in PPTX format. Data visualization is the process of putting data into a chart, graph, or other visual format that helps inform analysis and interpretation. Data visuals present the analyzed data in ways that are accessible to and engage different stakeholders. The first part, which is based on the results of the questionnaire, deals with a quantitative analysis of data. to the research questions postulated in the study. Research instruments and data collection. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. All presentation included an animated slide and transitions. Data Analysis Descriptive and Inferential Statistics April 11, 2013 2. There are two categories of this type of Analysis - Descriptive Analysis and Inferential Analysis. It’s made with Slide Master witch makes a customization very easy. Our new CrystalGraphics Chart and Diagram Slides for PowerPoint is a collection of over 1000 impressively designed data-driven chart and editable diagram s guaranteed to impress any audience. ANALYSIS means the ordering, manipulating, and summarizing of data to obtain answers to research questions. 1. Focus on important points 5. Chapter 4 Findings and Data Analysis 1.1. Federal team leaders will not supervise reviews in their home region when conducting triennial and first year reviews. Presentations. This chapter comprises the analysis, presentation and interpretation of the findings resulting from this study. "Data analysis is the process of bringing order, structure and meaning to the mass of collected data. Presentation of data requires skills and understanding of data. Title: Data analysis, interpretation and presentation 1 Data analysis, interpretation and presentation 2 Overview. Get the plugin now. The most important one being the type of data you want to share. Dashboards For a breakdown of these objectives, check out our course on Excel Dashboards & Data Visualizationto help you become a world-class financial analyst. CHAPTER FOUR DATA PRESENTATION, ANALYSIS AND INTERPRETATION 4.0 Introduction This chapter is concerned with data pres entation, of the findings obtained through the study. Six blind men go to observe an elephant. Audience and context 3. Data presentation is the way in which data is displayed. Analysis and interpretation of data 1. It analyses a set of data or a sample of data. Is the process of organizing data into logical, sequential and meaningful categories and classifications to make them amenable to study and interpretation. The best method to choose will depend on the type of data you have, how you want it to look and what you would like to see.  In other words, these summarize the data and describe sample characteristics. INTERPRETATION gives the results of analysis, makes Take a look at this slide with a pie chart: Though it’s a simple chart to … We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. If you continue browsing the site, you agree to the use of cookies on this website. Disparate – dissimilar; unlike; different.  Descriptive Statistics  are numerical values obtained from the sample that gives meaning to the data collected. If you continue browsing the site, you agree to the use of cookies on this website. Begin the discussion with a summary of the main findings. Here are some key objectives to think about when presenting financial analysis: 1. Data are usually collected in a raw format and thus the inherent information is difficult to understand. PRESENTATION OF DATA 1.1 INTRODUCTION Once data has been collected, it has to be classified and organised in such a way that it becomes easily readable and interpretable, that is, converted to information. It is cost-efficient; The insights obtained can be used to set and identify trends in data. 1. data analysis First, it is a visual way to look at the data and see what happened and make interpretations. ANALYSIS and INTERPRETATION provide answers to the research questions postulated in the study. This chapter will bring in the presentation of the findings and analysis derived from the online survey. If you continue browsing the site, you agree to the use of cookies on this website. Data is very likely to arrive from multiple sources and has a tendency to enter the analysis process with haphazard ordering. The interpretation of data assigns a meaning to the information analyzed and determines its signification and implications. Introduction. Remove this presentation Flag as Inappropriate I Don't Like This I like this Remember as a Favorite. Conclusion . The Data-Pixel Ratio originally stems from Edward Tufte’s “Data-Ink … Understanding what type of data you have should be one of the starting points in the process of visualizing your data. inferences pertinent to the research relations studied, and draws Statistical Analysis includes collection, Analysis, interpretation, presentation, and modeling of data. 2. Data analysis, interpretation, and presentation. form so that the relations of research problems can be studied conclusions about these relations. The presentation introduces topics such as test marketing, calculation of moving averages, extrapolation, correlation and qualitative methods of marketing forecasts (hunch & delphi). summarizing of data to obtain answers to research questions. Download Share Share. The goal is to make the findings part of a comprehensive body of theory either by working within a theory or by generating an original theory. Data analysis is, therefore, a process that involves examining, and molding collected data for interpretation to discover relevant information, draw or propose conclusions and support decision-making to solve a research problem. You can change your ad preferences anytime. Group 9 2. Reading lots of numbers in the text puts people to sleep and does little to convey information. Analysis refers to breaking a whole into its separate components for individual examination. Polytechnic University of the Philippines, Data Analysis, Presentation and Interpretation of Data, Chapter 4 PRESENTATION, ANALYSIS AND INTERPRETATION, No public clipboards found for this slide, Presentation, analysis and interpretation of data. 3. Visual communication 2. Figures can graphically demonstrate qualitative aspects of data and information. Data Presentation forms an integral part of all academic studies, commercial, industrial and marketing activities as well as professional practices. 3. Persuasiveness 8. Data analysis and interpretation - Data analysis and interpretation | PowerPoint PPT presentation | free to view Data Handling & Analytics - Department of Electronics & Telecommunication Engineering - A presentation on Data Handling & Analytics which includes topics like Types of Data, Rapid Growth of Unstructured Data, What is big data, Big. Presentation, analysis and interpretation of data, Data Analysis, Presentation and Interpretation of Data, Importance and interpretation of data in life and business, DATA ANALYSIS, INTERPRETATION AND PRESENTATION, Qualitative Data Analysis and Interpretation, No public clipboards found for this slide. ANALYSIS means the ordering, manipulating, and Importance of Statistics in Nursing Research Researchers link the statistical analyses they choose with the research question, design, and level of data collected. Interpretation 3. You need to take into account a variety of factors. Design principles 6. See our Privacy Policy and User Agreement for details. It helps to make informed decisions and not just through guessing or predictions. Maximize the Data-Pixel Ratio. Looks like you’ve clipped this slide to already. In this revision presentation, some core concepts of marketing data analysis are introduced. Allows us to critically analyze the results. (PPT) Presentation, Analysis and Interpretation of data | Lovely Ann H Azanza - Academia.edu Academia.edu is a platform for academics to share research papers. of 3 Sessions. Designing a data visualization ppt is an artform. It does not proceed in a linear fashion; it is not neat. It comes with 11 colors variations with light background. A presentation on how to prepare the fourth chapter of a thesis. Data Presentation The purpose of putting results of experiments into graphs, charts and tables is two-fold. The importance of data interpretation is evident and this is why it needs to be done properly. Data Analysis PowerPoint Infographics Slides have 33 Unique slides / Total 35 slides and it has a lot of features. Actions. Advantages of Data Interpretation . Qualitative data analysis is in the form of words, which are relatively imprecise, diffuse and context based, but quantitative researchers use the language of statistical relationships in analysis. 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