Take a look at this slide with a pie chart: Though it’s a simple chart to … Statistical Analysis includes collection, Analysis, interpretation, presentation, and modeling of data. Data visualization is the process of putting data into a chart, graph, or other visual format that helps inform analysis and interpretation. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. Before the calculation of descriptive statistics, it is sometimes a good idea to present data as tables, charts, diagrams or graphs. Its purpose is to reduce data to intelligible and interpretable The interpretation of data assigns a meaning to the information analyzed and determines its signification and implications. Indeed, there are various ways in which this can be done. There are two categories of this type of Analysis - Descriptive Analysis and Inferential Analysis. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. See our Privacy Policy and User Agreement for details. The preparation and reproduction of figures are more time-consuming and more expensive than those of tables.  Descriptive Statistics  are numerical values obtained from the sample that gives meaning to the data collected. Actions. 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. Research instruments and data collection. Clipping is a handy way to collect important slides you want to go back to later. Six blind men go to observe an elephant. It is cost-efficient; The insights obtained can be used to set and identify trends in data. The grantee presentation and summary meeting will no longer occur. inferences pertinent to the research relations studied, and draws The importance of data interpretation is evident and this is why it needs to be done properly. Looks like you’ve clipped this slide to already. 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. Data analysis is a process for obtaining raw data and converting it into information useful for decision-making by users. Data Analysis PowerPoint Infographics Slides have 33 Unique slides / Total 35 slides and it has a lot of features. In this revision presentation, some core concepts of marketing data analysis are introduced. conclusions about these relations. *6. highly opinionated and sweeping statements should be avoided. summarizing of data to obtain answers to research questions. It helps to make informed decisions and not just through guessing or predictions. See our User Agreement and Privacy Policy. Design principles 6. 4. A total of 102 responses were received from the targeted 180 potential respondents, which constitutes a 56.7% response rate for the survey. Therefore, raw data need to be summarized, processed, and analyzed. If these need to be included at all, they should be placed in the appendix. Second, it is usually the best way to show the data to others. Qualitative data analysis is a search for general statements about relationships among categories of data." More often than not it will be evident from the exam question which method you should use. If you continue browsing the site, you agree to the use of cookies on this website. View by Category Toggle navigation. Looks like you’ve clipped this slide to already. The analysis and interpretation of data is carried out in two phases. 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. Figures can graphically demonstrate qualitative aspects of data and information. Storytelling 7. 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). Allows us to critically analyze the results. Reading lots of numbers in the text puts people to sleep and does little to convey information. 3. You need to take into account a variety of factors. Data Analysis Descriptive and Inferential Statistics April 11, 2013 2. Data visuals are also used to communicate MEAL results to meet key stakeholder needs. The first part, which is based on the results of the questionnaire, deals with a quantitative analysis of data. Presentations. It is built in with 16:9 Full HD resolution. Intro and research design. The presentation introduces topics such as test marketing, calculation of moving averages, extrapolation, correlation and qualitative methods of marketing forecasts (hunch & delphi). Analysis and interpretation of data 1. Data Presentation forms an integral part of all academic studies, commercial, industrial and marketing activities as well as professional practices. Here are some key objectives to think about when presenting financial analysis: 1. Template is exported in PPTX format. to the research questions postulated in the study. It is necessary to make use of collected data which is considered to be raw data. 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