* Sources: 1. Kailasha Foundation – Fun & Learn Portal LMS Directory *Footnotes: The entire upper part of the table is called BOX HEAD.
3. Diagrammatic Mode of Presentation:
A. Non-Frequency Diagrams: Non-frequency diagrams correspond to the data which are NOT frequency data. (a) Bar Diagrams (b) Line Diagrams (Historiagram) (c) Pie Diagram or Pie Chart
B. Frequency Diagrams: Frequency Data are presented. Mostly class-intervals are presented via this mode. Three most common frequency diagrams are: (a) Histogram (b) Frequency Polygon (c) Ogives: (i) Less than type Ogives (ii) More than type Ogives
1. Bar Diagram and Line Diagram are inter-convertible
2. Bar Diagram and Line Diagram can both be of simple and multiple types
3. Multiple bar diagram or Multiple Line diagram is used when two related series (in same unit) are to be compared
4. Multiple axis bar diagram or Multiple axis Line diagram is used when units in the two series are different
ILLUSTRATIONS OF PRESENTATION OF DATA:
Bar Diagrams:
Line Diagram:
Multiple Bar Diagram:
Frequency Polygon:
FREQUENCY CURVE:
A smooth join of all vertices of a frequency polygon. This is broadly divided into four shapes:
(i) Bell Shaped (Most Common Shape) (ii) U-Shaped (iii) J – Shaped: Simple J – shaped & Inverted J – Shaped (iv) Mixed Curve (Second Most Common Shape)
1. CENSUS: The collection of data from every element in a population or universe or arena of statistical enquiry.
2. SAMPLE: The collection of data from subgroup or subset of the population.
3. FREQUENCY: The number of times a certain value or class of values occurs.
4. CUMULATIVE FREQUENCY: The running total of the frequencies at each class interval level.
5. FREQUENCY DISTRIBUTION: The organization of raw data in table form with classes and frequencies.
6. CLASS LIMITS: The originally assigned extreme values of classes are called class limits, viz. Lower class limit and upper class limit.
7. CLASS WIDTH: The difference between the upper and lower boundaries (NOT limits) of any class.
8. CLASS BOUNDARY: After making the distribution continuous, the upper class boundary of a class becomes equal to the lower class boundary of the next class.
9. CLASS MARK: The mid-point of any class is called the class mark.
VIDEO DESCRIPTIONS:
Hindi explanation:.
ENGLISH EXPLANATION:
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Presentation of Data refers to the exhibition of data in such a clear and attractive way that it is easily understood and analysed. Data can be presented in different forms, including Textual or Descriptive Presentation, Tabular Presentation, and Diagrammatic Presentation.
Textual data presentation may not involve charts or graphs, but it’s one of the most used qualitative data presentation examples. It involves using written content to provide context, explanations or annotations alongside data visuals.
A data presentation is a slide deck that aims to disclose quantitative information to an audience through the use of visual formats and narrative techniques derived from data analysis, making complex data understandable and actionable.
TEXTUAL PRESENTATION OF DATA. This method comprises presenting data with the help of a paragraph or a number of paragraphs. The official report of an inquiry commission is usually made by textual presentation. Example :
STATISTICS : PRESENTATION OF DATA. Data can be presented in three ways: Textual presentation; Tabular presentation; Diagrammatic presentation; 1. Textual Mode of presentation is layman’s method of presentation of data. Anyone can prepare, anyone can understand. No specific skill(s) is/are required. 2.
1. Researchers’ Corner. Presentation of Statistical Data – Textual Presentation. Research is necessarily data intensive. Understanding certain norms and standards for. preparation and...
Following are the topics covered in the video:1. Meaning of Presentation of Data2. Textual Presentat...
In your paper, you should include (at a minimum): A histogram of the dependent variable would insure that you have a sample that represents a wide range of individuals. A table of summary statistics for the data you are using for your analysis.
This document discusses techniques for presenting and interpreting data in tabular and graphical forms. It focuses on textual presentation of data, which involves presenting numbers, measurements, and other data points using words and sentences.
TEXTUAL PRESENTATION OF DATA data presented in paragraph or in sentences includes: enumeration of important characteristics emphasizing the most significant features highlighting the most striking attributes of the set of data