It is an estimate of the probability distribution of a continuous variable. Please Share with Your Friends... (Diagrammatic Data Representation: Line Chart, Bar Diagrams and Histogram). Ø  The height of the line denotes the magnitude of the observation / class. Example: Number of science graduate students in a college is given below. Graphical Representation is a way of analysing numerical data. We will not spam your account… It is easy to understand and it is one of the most important learning strategies. Ø  Allow comparison of multiple sets of variables comparison. Ø  Here each class of the frequency distribution is represented as columns. A histogram is a diagrammatic representation of data as rectangles whose area is proportional to the class frequencies and whose width is equal to the class bin/interval. diagrammatic presentation of data-bar diagram & pie diagram 1. Ø  If the data is presented in the numerical form, it will not attract the attention of the audience. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Ø  Bar diagram is further divided into FOUR types: Ø  Items are to be compared with respect to a single characteristic. Ø  Advantages of line diagram: quick and simple method, comparison become easy. The diagram is a relative frequency histogram for the data, and is shown in Figure \(\PageIndex{4}\). Histogram with unequal classes: In the case of the unequal class of frequency distribution, the class interval must be equal before constructing the histogram. To construct a histogram… The diagrammatic representation of data is one of the best and attractive way of presenting data as it caters both educated and uneducated section of the society. Advantages of Graphical Representation of Data. These diagrams are normally used to show the total number of observations of different types of data set inside a circle into various slices according to the magnitudes in terms of angle. Please See Your E-Mail…, Graphical Representation of Data PPT (Power Point Presentation), @. Your email address will not be published. A histogram is similar to a bar graph except for the fact that there is no gap between the rectangular bars. Mr. Larry, a famous doctor, is researching the height of the students studying in the 8 standard. Measures of central tendency – mean median, mode, geometric mean, harmonic mean for raw data. Ø  Percentage bar diagram is a diagram which exhibits a simple analysis of statistical data in terms of percentage. If we are working with a continuous data set or grouped dataset, we can use a histogram for the representation of data. • Rose diagram: It is similar to histogram, by constructed as a rose shape on a circular diagram . Ø  Different colors or shades are used to distinguish different bars in a single set, Example: Draw a bar diagram using the following data showing the pass percentage of different subjects in five years. Economics Grade XI Histogram - Diagrammatic and Graphical Representation of Data The histogram is the graphical presentation of the continuous frequency distribution drawn by the help of rectangular vertical bars whose heights represent the frequencies of the classes. So if there is a priority for accur… The key difference is that histograms have bars without any spaces between them and the rectangles need not be of equal width. Diagrams have been used since ancient times on walls of caves, but became more prevalent during the Enlightenment. This preview shows page 79 - 81 out of 314 pages.. c. Diagrammatic representation d. None 16. The emphasis is not on the techniques to produce these representations, but on the question of whether or not the representation best represents the data. Ø  Important graphical representation methods are given below: (6).      Pie Chart (Circle Diagram), (adsbygoogle=window.adsbygoogle||[]).push({}). Example: A study on the number of accidents in the year 2015 in a particular area is given below. Example: Draw a simple bar diagram using the following data. histogram a diagrammatic representation of a FREQUENCY DISTRIBUTION, consisting of contiguous rectangles displaying interval-level data (see CRITERIA AND LEVELS OF MEASUREMENT) grouped into categories. Ø  The length of all bars is kept constant (100%). Ø  Class intervals used are usually of equal width. (Diagrammatic Data Representation: Line Chart, Bar Diagrams and Histogram) Graphical Representation of Data / Variables Ø The data presentation in statistics may be Numerical or Graphical. diagrammatic and graphical representation of data 1. TYPES OF DIAGRAMATIC PRESENTATION 1.Geometric form ---Bar Diagrams ---Pie Diagrams 2.Frequency Diagrams ---Histogram ---Polygon ---Ogive 3.Arithmetic Line Graph or Time Series Graphs 2. Diagrammatic representation of data : An attractive representation of statistical data is provided by charts, diagrams and pictures. Ø  In the histogram, the columns representing each class are in close contact and there is no space between them. It easy to understand diagrams even for ordinary people. Ø  The histogram resembles a bar diagram (but with a difference). Histogram is the most common form ofdiagrammatic representation of a grouped frequencydistribution. Thus, a histogram is a graphical representation of a frequency distribution with class intervals or attributes as the base and frequency as the height. Ø  Footnotes should be given below the graph. The width of the bar remains the same if the class interval is equal and the width may vary in case of unequal class intervals. The most accurate mode of data presentation is [] a. Diagrammatic method b. Tabulation c. Textual presentation d. All of these 18. Table - 1HistogramBut in case of frequency distribution of a continuousvariable, we present the distribution graphically by usingHistogram. Ø  The absence of inter-bar space denotes the continuity of classes in the histogram. Ø  Different colours or shades are used to distinguish the compartments of the bar. It was first introduced by Karl Pearson. Ø  If more than one graph is used in the study, all graphs should be numbered chronologically. Data Representation 4: Graphs (Frequency Curve, Ogive & Pie Chart) + PPT, Please Share for your Students, Colleagues, Friends and Relatives…. However, these forms of presentation don’t always prove to be interesting to the common man. For a histogram with equal bins, the width should be the same across all bars. Ø  Contain two or more bars arranged side by side. The use of the appropriate binomial distribution table or straightforward calculations with the binomial formula shows the probability that no heads are showing is 1/16, the probability that one head is showing is 4/16. A chart is a graphical representation of data as by lines, curves, bars, etc. Ø  Graphs usually show approximate figures. As they both use bars to display data, people find it difficult to differentiate the two. It consists of a set of adjoining rectanglesdrawn on a horizontal base line. Diagrammatic Representation of Joints Usually, a great number of Joint readings are collected in the field that count to hundreds. Module 6: Unit 3 Data representation57 Unit 3: Data representation Introduction to Unit 3 In this unit you will look at different ways to represent data in tables, charts, graphs and diagrams. P3. That is, in histogram rectangles are erected on the class intervals of the distribution. Data Representation 1: Tables & Tabulation + PPT, @. The areas of rectangle are proportional to the frequencies. good one for the all kinds / level of students. Data may be presented in a simple &attractive manner in the form of diagrams. Difference Between Gross Domestic Product (GDP) And Gross National Product (GNP), Computation or Measurement of National Income, Difficulties in Measurement of National Income, Meaning of Economic Development and Growth, Importance of Water Resource in Economic Development of Nepal, Potentiality of Hydro-Electricity and Situation of Water Resources in Nepal, Obstacles of Hydro-Electricity Development In Nepal, Importance And Current Situation of Forest Resource In Nepal, Importance of Mineral Resource In Economic Development of Nepal, Problems of Mineral Resource Development in Nepal, Environmental and Natural Resource Management For Sustainable Development, Role of Human Resource in Economic Development of Country, Current Situation of Population In Nepal [ Census 2068 ], Causes, Consequences and Control Measures of High Population Growth, Characteristics of Nepalese Agriculture and Its Importance, Problems and Remedial Measures of Agricultural Development in Nepal, Poverty – Characteristics, Causes, Alleviation, Importance and Problems of Cottage / Small-Scale Industries, Importance and Problems of Medium / Large Scale Industries, Importance and Prospects of Tourism Industry, Means of Transportation – Current Situation, Means of Communication – Current Situation, Public Finance and Government Expenditure, Singular and Plural Meaning of Statistics, Statistics: Primary and Secondary Sources of Data, Statistics: Methods of Primary Data Collection, Statistics: Precautions In The Use of Secondary Data, Statistics: Techniques/Methods of Data Collection, Frequency Polygon - Diagrammatic and Graphical Representation of Data, Differences Between Diagrams and Graphs : Statistics, Advantages of Diagrams and Graphs : Statistics, Histogram - Diagrammatic and Graphical Representation of Data, Difference between Microeconomics and Macroeconomics, Difference Between Positive and Normative Economics, Comparison Between Marshall’s and Robbin’s Definitions of Economics. A histogram is a bar graph-like representation of data that buckets a range of outcomes into columns along the x-axis. Ø  Graphical Representation: It is the representation or presentation of data as Diagrams and Graphs. A histogram is an accurate representation of the distribution of numerical data. Enter your e-mail address. Ø  Each line in the diagram represents an observation or a class. Example: Construct a histogram using the following data. Ø  Each rectangular bar represents a class. Ø  A graph should have a self-explanatory heading. Discrete frequency distribution: Histogram can be used to present discrete frequency distribution by converting the discrete values into continuous series. Open-end classes: In the case of open-end classes, the histogram cannot be constructed. Ø  Bars are drawn vertically or horizontally with equal spacing between them. Ø  Very difficult to include and study the small differences in large measurements. Data Representation 2: Frequency Distribution Table + PPT, @. Ø  Bar diagram is a chart that presents grouped data with rectangular bars. ... • Histogram: It is based on the bases of statistics of graphical representation of data clustering. Ø  Can derive the conclusion from data very quickly. Data Representation 1: Tables & Tabulation + PPT, Data Representation 2: Frequency Distribution Table + PPT, Data Representation 3: Graphs (Line Diagram, Bar Diagram & Histogram) + PPT, Data Representation 4: Graphs (Frequency Curve, Ogive & Pie Chart) + PPT, Graphical Representation of Data 1: Tables and Tabulation with PPT, Graphical Representation of Data (Frequency Polygon, Frequency Curve, Ogive and Pie Diagram), Statistical Data /Variables – Types and Classification (Biostatistics Short Notes), Principles of Experimental Designs in Statistics – Replication, Randomization & Local Control, Types of Experimental Designs in Statistics (RBD, CRD, LSD, Factorial Designs), Difference between Primary and Secondary Data: Comparison Table, Graphical Representation of Data (Frequency…. In a histogram the width of the rectangle is proportional to the class interval under consideration, and the height is the associated frequency. Ø  Makes the presentation eye-catching. While constructing a histogram, the following considerations should be made. Ø  Simple bar diagram may be vertical or horizontal. Get our Updates on BIOSTATISTICS in your E-mail Inbox Example: Draw a percentage bar diagram using the following data. Being an estimate of the probability distribution of a continuous variable, the histogram was first introduced by Karl Pearson as a kind of a bar graph. Histogram 2. Start studying Diagrammatic and Graphical Representation of Data - Statistics. In general the number of types of tabulation [] a. Things to remember in Graphical Representation Methods. It always depends on the type of information in a particular domain. Ø  In statistics, the data can be presented graphically using many methods. Ø  The class intervals are taken on the X axis. & histogram ), etc with graphs representation 3: graphs ( line diagram: it is based the! On the Y axis, is researching the height of the audience common man d. all these! 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