Presentation and analysis of business data

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presentation and analysis of business data

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Any conclusions presented in an analysis, including those that can impact public policy, must be supported by the data being analyzed. Prior to conducting an analytical study the following questions should be addressed: Objectives. What are the objectives of this analysis? What issue am i addressing? What question(s) will i answer? Why is this issue interesting? .

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Analysis can thus influence future improvements to the survey process. Data analysis is essential for understanding results from surveys, administrative sources and pilot studies; for providing information on data gaps; for designing and redesigning surveys; for planning new statistical activities; and for formulating quality objectives. Results of data analysis are often published or summarized in official Statistics Canada releases. Principles, a statistical agency is concerned with the relevance and usefulness to users of the information contained in its data. Analysis is the principal tool for obtaining information from the data. Data from a survey can be used for descriptive or analytic studies. Descriptive studies are directed at the estimation of summary measures of a target population, for example, the average profits of owner-operated businesses in 2005 or the proportion of 2007 high school graduates who went on to higher education in the next marilynne twelve months. . Analytical studies may be used to explain the behaviour of and relationships among characteristics; for example, a study of risk factors for obesity in children would be analytic. To be effective, the analyst needs to understand the relevant issues both current and those likely to emerge in the future and how to present the results to the audience. The study of background information allows the analyst to choose suitable data sources and appropriate statistical methods.

Description Visibility Others can see my Clipboard. View the most recent version. Archived, this page has been archived on the web. Scope and purpose, principles, guidelines, quality indicators. References, scope and purpose, data analysis is the process of developing answers to questions through the examination and interpretation of data. . The basic steps in the analytic process consist of identifying issues, determining the availability of suitable data, deciding on which methods are appropriate for answering the questions of interest, applying the methods and evaluating, summarizing and communicating the results. Analytical essay results underscore the usefulness of data sources by shedding light on relevant issues. Some Statistics Canada programs depend on analytical output as a major data product because, for confidentiality reasons, it is not possible to release the microdata to the public. Data analysis also plays a key role in data quality assessment by pointing to data quality problems in a given survey.

presentation and analysis of business data

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Table of Contents. Table of contents indicates all the contents of research paper and the page number for each section is placed at the right-hand margin. The page for the table of contents is usually written in Roman numeral and indicated at the bottom of the paper. list of Tables The caption should great be exactly how it appears in the text. In numbering the tables, use Arabic numerals. Recommended LinkedIn Corporation 2018 Public clipboards featuring this report slide no public clipboards found for this slide select another clipboard looks like youve clipped this slide to already. Create a clipboard you just clipped your first slide! Clipping is a handy way to collect important slides you want to go back to later. Now customize the name of a clipboard to store your clips.

The introduction serves as a springboard for the statement of the problem as stated. Review of Related Literature Chapter iii. Research Design and Methodology Chapter. Analysis and Interpretation of Data Chapter. Summary, conclusions, and Recommendations Supplementary pages Bibliography Appendix. Sample of Table of Contents. table of Contents Acknowledgment List of Tables List of Figures Chapter i the Problem and its Background Introduction Background of the Study conceptual Framework/Theoretical Statement of the Problem Hypotheses Significance of the Study Scope and Delimitation of the Study definition of Terms. Chapter ii review of Related Literature and Studies literature (Foreign/Local) Studies (Foreign/Local) justification of the Present Study Chapter iii research Design and Methodology research Design research Subject Instrumentation data gathering Procedure statistical Treatment of Data Chapter iv analysis and Interpretation of Data Chapter v summary.

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presentation and analysis of business data

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The final researchoutput. Writing the final Output The researcher should know not only the parts in research writing process but also the forms and style in writing the research proposal and the research paper. The format of Writing theStudy. Title page/ Title of the Study - is a phrase that describes the research study. it should not be too long or too short as well as too vague and general. Acknowledgement Page - is a section wherein the researcher expresses his deep gratitude for those persons who assisted and helped him to make the study a successful one.

Table of Contents - from the word itself, it contains all the parts of the research paper including the pages.4. List of Tables - this follows the table of content and indicates the title of the tables in the research paper.5. List of Figures - is composed of paradigms, diagrams, graphs and charts or flowcharts. Main Body chapter. Introduction This section refers to: What this study is all about or What makes the researcher interested in doing the study. purpose: to introduce the reader to the subject matter.

Narrative or textual form This is composed of summary of findings, direct"tions and implications of the study.2. Tables tables are used to present a clear and organized data. This is utilized for easy analysis and interpretation of data. The parts of tabular data are presented in the following: rows - horizontal entries (indicates the outcome or the dependent variable) columns - vertical entries (indicates the cause or the independent variable) cells - are boxes where rows and columns intersect. parts of Table columns column row cell.


Interpretation of Data after analysis of data and the appropriate statistical procedure, the next chapter of the research paper is to present the interpretation of the data, which is the final step of research process. The three areas: summary of Findings conclusions recommendations. summary of Findings This portion summarizes the result of data analysis from chapter4. The best thing is to review the stated problem and tie up with the result of your data analysis. conclusions a conclusion is drawn from the summary of findings. focuses on the answers to the problem including the outcome of the hypotheses whether it is rejected or accepted. recommendations This is based on the result of the conclusions The main goal is geared toward improvement or development.

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Uses of Inferential Analysis cited some statistical test for inferential analysis.1. T-test is used to examine the difference between the means of two independent groups.2. Analysis of Variance (anova) - is used to test the significance of differences between means of two or more groups.3. Chi-square - this is used to test hypotheses about the proportion of elements that fall into various cells of a contingency table. hypothesis - testing Procedures The outcome of the study perhaps may retain, revise or reject the hypothesis and this determines the acceptability of hypotheses and the theory from which it was derived. Steps in testing hypothesis: determine the test statistics to be used Establish the level of significance select a one-tailed or two-tailed test compute a test statistic calculate the degrees spondylolisthesis of freedom Obtain a tabled value for statistical test compare the test statistics to the tabled. Presentation of Findings findings are presented in different forms such as:1.

presentation and analysis of business data

Two commonly Used bivariate descriptive analysis. Contingency tables - is essentially a two-dimensional frequency distribution in which the frequencies of two variables are cross-tabulated. correlation - the most common method of describing the relationship between two measures. Inferential language Analysis The use of statistical tests, either to test for significant relationships among variables or to find statistical support for the hypotheses. Inferential Statistics are numerical values that enable the researcher to draw conclusion about a population based on the characteristics of a population sample. This is based on the laws of probability. Level of Significance an important factor in determining the representativeness of the sample population and the degree to which the chance affects the findings. The level of significance is a numerical value selected by the researcher before data collection to indicate the probability of erroneous findings being accepted as true. This value is represented typically.01.05.

scores divided by the total number of scores. formula: Where: x σ_ x the mean n σ the sum of x each individual raw score n the number of cases. Measure of Variability statistics that concern the degree to which the scores in a distribution are different from or similar to each other. Two commonly Used measures ofVariability. Range - the distance between the highest score and the lowest score in a distribution. Example: The range for learning center A 500 (750 - 250) and the range for learning center is about 300 (650 - 350). Standard deviation - the most commonly used measure of variability that indicates the average to which the scores deviate from the mean. Bivariate descriptive statistics derived from the simultaneous analysis of two variables to examine the relationships between the variables.

Classification of DescriptiveanalysisKinds of Data Analysis. Descriptive analysis refers to the description of the data from a particular sample; hence the conclusion eksempel must refer only to the sample. In other words, these summarize the data and describe sample characteristics. descriptive statistics are numerical values obtained from the sample that gives meaning to the data collected. Classification of Descriptiveanalysis. Frequency distribution a systematic arrangement of numeric values from the lowest to the highest or highest to lowest. formula: Ef n where: e sum of f frequency n sample size. Measure of Central Tendency a statistical index that describes the average of the set values. kinds of averages.

Exploratory, data, analysis in, business and

Successfully reported this slideshow. Chapter 10-data analysis presentation, upcoming SlideShare, loading. Show More, no downloads, no notes for slide. Data Analysis andPresentation. Planning for dataanalysis. Data Analysis The purpose summary to answer the research questions and to help determine the trends and relationships among the variables. Steps in Data Analysis before data collection, the researcher should accomplish the following: determine the method of data analysis determine how to process the data consult a statistician Prepare dummy tables After Data collection: Process the data prepare tables and graphs Analyze and interpret findings.


presentation and analysis of business data
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  6. Steps in Data Analysis Before data collection, the researcher shoul d accomplish the following: Determine the method of data analysis. The mastering Business Data collection, Analysis and Presentation training course is structured to balance theoretical and practical hands-on.

  7. Statistics Canada quality guidelines. Data analysis and presentation. Data presentation and analysis forms an integral part of all academic studies, com mercial, industrial and marketing activities as well as professional practices.

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