Biostatistics Study Materials

Graphical Representation of Data PPT (Power Point Presentation)


Biometric PPT

Graphical Representation of Data PPT
(Line Diagram, Bar Diagram, Histogram, Frequency Curve, Ogive and Pie Chart)

What is graphical representation? Importance of Graphical Representation, Advantages of Graphical Representation, Disadvantages of Graphical Representation, Things to remember when constructing a Graph, Different types of graphs / charts: Line Diagram, Bar diagram, Simple Vertical Bar Diagram, Subdivided Bar Diagram, Multiple Bar Diagram, Percentage Bar Diagram, Histogram, Frequency Polygon, Frequency Curve, Ogive, Less Than Ogive, Greater Than Ogive, Calculating Median from Ogive, Pie Chart, Relative Frequency and Pie Diagram.

Learn more: Lecture Note in Graphical Representation of Data Part 1, Part 2

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Biostatistics Study Materials

Frequency Distribution Table PPT


Biometric PPT

Frequency Distribution Table PPT
(Concept of Statistical Tables: Frequency Distribution)

‘Tables’ vs ‘statistical tables’, Things to remember when creating a ‘table’, Components of a ‘table’, Understand the concept of ‘class’ and ‘frequency’, Concept of Range and Class Intervals, Inclusive and Exclusive Class, How a statistical table is prepared? (Frequency distribution), What is ‘tally mark’ method?

Learn more: Lecture Note in Frequency Distribution

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Biostatistics Study Materials

Table and Tabulation of Data PPT


Biometric PPT

Tables and Tabulation PPT
(Graphical Representation of Data 1: Tables PPT and PDF)

What is Data or Variable? Why data is called variable in statistics? What are the importance of Data Presentation? What are the methods of Data Presentation? What is meant by Graphical Representation of Data? What is ‘tabulation’? Understand the concept of ‘data table’. Things to remember when creating a table

Learn more: Lecture Note in Tables and Tabulation

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Biostatistics Study Materials

Graphical Representation of Data 1: Tables and Tabulation with PPT


Classification of Data

Graphical Representation of Data- Part-1 – Tables & Tabulation
(Tabulation of Data and Things to Remember when Creating a Data Table)

“Science is organized knowledge…
Wisdom is organized life…
Immanuel Kant

What is Data or Variable?

Ø  Data or variables in biostatistics (statistics) are individual observations of a natural phenomenon or an experiment.

Ø  All scientific investigations involve observations on the variables.

Ø  Observations made on these variables are obtained in the form of DATA.

Ø  The reason for calling data as variables is because it has the tendency of variation.

Ø  For example, if you take the size of leaves of a rose plant with many leaves the value of the size of each leaf (individual data) shows variation.

Ø  The individual observations form the data and the data thus collected are called Raw Data.

Ø  The raw data is an ungrouped or unorganized data and it should be classified based on some criterions.

Ø  Only the classified or grouped data can be used for logical interpretations and further statistical analysis.

Data Representation Methods

Ø  Data presentation (representation): ‘For the maximum utilization of data and its correct interpretation, it should be presented in an appropriate way’.

Ø  Different types of data representations methods are:

(1).    Tables

(2).    Graphs / Charts

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Biostatistics Study Materials

Errors in Statistics PPT (Type I and Type II Errors)


Biometric PPT

Errors in Statistics PPT
(Type I and Type II Error in Statistics PPT)

What is Level of Significance? What is Null Hypothesis? What is Alternate Hypothesis? What are statistical errors? What is the importance of ‘level of significance’ in statistical errors? Different types of statistical errors. What is Type I Error? How to avoid Type I Error? What is Type II Error? How to avoid type II Error?

Learn more: Lecture Note Statistical Errors

 

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