Statistical analysis includes collection, analysis, interpretation, presentation, and modeling of data. Delete the cases with missing data try to estimate the value of the missing data. Recognize appropriate representations of various data in graphic form. The first part, which is based on the results of the questionnaire, deals with a quantitative analysis of data. Data analysis, interpretation and presentation sage research. There are different ways on how you can approach data analysis. This chapter comprises the analysis, presentation and interpretation of the findings resulting from this study. May 14, 2018 data analysis and interpretation questions for sbi po pdf.
Data analysis and interpretation questions for sbi po pdf. Data interpretation and analysis competency 0009 interpret. Program staff are urged to view this handbook as a beginning resource, and to supplement their knowledge of data analysis procedures and methods over time as part of their ongoing professional development. Sep 25, 2015 furthermore, the relationships between spectral data and crop and soil properties have yet to be incorporated into the expert systems necessary for rapid data analysis and interpretation. Epidemiologists often find data analysis the most enjoyable part of carrying out an epidemiologic study, since after all of the hard work and waiting they get the chance to find out the answers. Ensure that the data that you will use are credible. Presentation, analysis and interpretation of data 1. The analysis and interpretation of data is carried out. The cdf is the antiderivative or integral of the pdf and the pdf is. These are presented in tables following the sequence of the specific research problem regarding the effectiveness of beat patrol system in of san manuel, pangasinan. The decision is based on the scale of measurement of the data. The spss version 11 program was used for the data analysis. Before you can present and interpret information, there must be a process for gathering.
Furthermore, the relationships between spectral data and crop and soil properties have yet to be incorporated into the expert systems necessary for rapid data analysis and interpretation. Data collection, analysis and interpretation have always been a hard exercise. Interpretation provides a theoretical conception which can serve as a guide for the further research work. Jul 24, 2014 presentation, analysis and interpretation of data 1. Strength of the relationship among variables items test of.
However, this process can provide a lot of benefits especially if you want to know how separate components affect the data that you would like to observe and evaluate. Data interpretation and analysis competency 0009 interpret information from line graphs, bar graphs, and pie charts. It is an important and exciting step in the process of research. Volume aims to raise the standard of statistical analysis and presentation of data in the social sciences. Data interpretation is critique and determination of information significance. Accurate measurements of air temperature became possible in the mid1700s when daniel gabriel fahrenheit invented the first standardized mercury thermometer in 1714 see our temperature module. The table below shows the distribution of students major areas of study in a particular college. Data analysis, interpretation and presentation pdf. There are two categories of this type of analysis descriptive analysis and inferential analysis. Adding visual aspect to data or sorting it using grouping and presenting it in the form of table is a part of the presentation. Ppt data analysis and interpretation free download as powerpoint presentation. Understand data, apply data analytics tools and create effective business intelligence presentations. The collected data is analyzed and interpreted by applying various statistical tools and techniques.
A peak list for empirical analysis can be generated in different ways the diffraction data are reduced to a list of diffraction peaks peak search analysis of the second derivative of diffraction data is used to identify likely diffraction peaks peak information is extracted by fitting a parabola around a minimum in the second. Data analysis process data collection and preparation collect data prepare codebook set up structure of data enter data screen data for errors exploration of data descriptive. Introduction to data and data analysis may 2016 this document is part of several training modules created to assist in the interpretation and use of the maryland behavioral health administration outcomes measurement system oms data. The findings are discussed according to the sections of the questionnaire and then with reference to the three components of the hbm. Presentation and interpretation of food intake data. Your data analysis should be complete with all the information that can help you validate particular business moves or decisions. The priority given to either the quantitative or qualitative data collection. Ppt qualitative data analysis and interpretation powerpoint. Jun 25, 2018 data interpretation is critique and determination of information significance. There will be 35 questions carrying a total of 60 marks and 45 minutes is allotted to this section. It is a messy, ambiguous, timeconsuming, creative, and fascinating process. The range is the difference between the highest and lowest values in a.
Ppt presentation, analysis and interpretation of data. Mar 26, 2020 statistical analysis includes collection, analysis, interpretation, presentation, and modeling of data. Data presentation and analysis or data analysis and presentation. Presentations, analysis and interpretation of data 126 study, can be better understood. Qualitative analysis data analysis is the process of bringing order, structure and meaning to the mass of collected data. Presentation, analysis and interpretation by jenny. But alone it does not really gives us an idea of how the data is distributed. So, proper preparation is very much needed for this section to clear cutoffs in mains exam. Based on that amount of data alone, it is clear the calling card of any successful enterprise.
The analysis and interpretation of data is carried out in two phases. The mean represents the central tendency of the data set. Doc chapter 4 presentation, analysis and interpretation of. Weather and climate the weather has long been a subject of widespread data collection, analysis, and interpretation. It is important for all the information that you will include in the data analysis report to be specific, accurate, and updated. Introduction data analysis and interpretation is the process of assigning meaning to the collected information and determining the conclusions, significance and implications of the findings. If the data do not provide answers, that presents yet another opportunity for creativity. Emergent from data, dependent on observation framework if used. It is therefore not an empty ritual, carried out for form. In the third section data obtained from the analysis of the death attitude and death anxiety scales will be examined and the association between the two variables discussed. As much as possible, look for errors that can affect the results of the data analysis or the presentation that you will create based on the assessment of particular.
Data analysis and interpretation linkedin slideshare. Analysis of secondary data, where secondary data can include any data that are examined to answer a research question other than the. Purpose of this training to increase your skills in analysis and interpretation of the information you collect to increase your ability to report your findings to a variety of audiences to learn how to make evaluation results actionable three steps to data analysis keep it simple aim for a systematic effort keep your audience in mind pay. A free powerpoint ppt presentation displayed as a flash slide show on id. Data analysis, interpretation, and presentation anna loparev intro hci 022620 qualitative vs. A few statements are given on the next two slides, acceptance of which may reduce such apprehensions so that they wi. Interpretation is the explanation or suggestions inferred from the data. Chapter 4 presentation, analysis and interpretation of data this chapter presents the data gathered, the results of the statistical analysis done and interpretation of findings.
For a continuous variable, the probability density function pdf is the probability that the variate has the value x. The purpose of this study was to identify factors contributing to. This module provides a brief overview of data and data analysis terminology. These two go hand in hand, and it will be difficult to provide a complete differentiation between the two.
Ppt data analysis and interpretation level of measurement. Is the process of organizing data into logical, sequential and meaningful categories and classifications to make them amenable to. Review presentation and interpretation of food intake data. Quantitative the focus of this presentation and qualitative restricted and publicuse direct e. The data from the questionnaires were statistically analysed by a statistician. Read online data analysis, interpretation and presentation book pdf free download link book now. It is presented in the form of tables, pie and multiple bar diagrams which is converted into charts, maps and graphs to analyze the data. Data analysis, interpretation, and presentation pcori. A data analysis, like a business analysis report, must carry all the key points of your desired presentation. Stay connected to your students with prezi video, now in microsoft teams. It also shows how to interpret test data for clients in language that is understandable. Data interpretation and presentation is a crucial stage in conducting research, and presents three key challenges. Download data analysis, interpretation and presentation book pdf free download link or read online here in pdf.
Data analysis, interpretation and presentation sage. In fact, a digital universe study found that the total data supply in 2012 was 2. However, this document and process is not limited to educational activities and circumstances as a data analysis is also necessary for businessrelated undertakings. Data analysis and interpretation questions for sbi po pdf set. If the researcher had used the combined data, it would have been an improper analysis, but correct interpretation. Interpretation of the data has become a very important and essential process, mainly because of some of the following factors 1. The cumulative distribution function cdf is the probability that the variable takes a value less than or equal to x. Missing data analysis examine missing data by variable by respondent by analysis if no problem found, go directly to your analysis if a problem is found. Interpreting data helps comprehend text books, graphs and tables. Make smarter business decisions with data analysis. Data analysis and interpretation have now taken center stage with the advent of the digital age and the sheer amount of data can be frightening.
It also describes design of data analysis, presentation and interpretation for the target audience, with the objective of enhancing the uptake and use of research. Data of annual or monthly mean rainfall of station x as well as the average rainfall of the group of base stations over a long time period is arranged in reverse chronological order ie. Data from singlesubject designs are frequently analyzed by means of graphic presentation and visual inspection. Selecting which material will be used for drawing conclusions about your work establishing the significance or otherwise of material and identifying potential weaknesses and limitations. These are presented in tables following the sequence of the specific research problem regarding the effectiveness of beat patrol system in of san manuel. Data analysis and interpretation process of science. All books are in clear copy here, and all files are secure so dont worry about it.
Analysis refers to the skill of the researcher in describing, delineating similarities and differences, highlighting the significant findings or data and ability to extract information or messages out of the presented data. For the analysis of opinionnaire chi square test was used. Microbiology data for systemic antibacterial drugs. Chapter 4 presentation, analysis and interpretation of data. Microbiology data for systemic antibacterial drugs development, analysis, and presentation guidance for industry. Factors affecting comparability across studies mieke faber ph. Review the analysis results, and help interpret the findings. Chapter 4 presentation, analysis and interpretation of. Qda qualitative data analysis rfp request for proposals sage strategic advisory group of experts sars severe acute respiratory syndrome smart specific, measurable, achievable, realistic and timebound. Qualitative data analysis is a search for general statements about relationships among.
580 695 1617 1393 1267 589 637 822 507 1481 1473 1093 756 846 1129 1379 1685 831 1254 1272 125 677 1300 933 868 300 32 1240 1335 1467 1326 647 1517 77 234 1167 802 1171 167 1265 884 1337 149 119