Mr Yogesh
Frequency distribution
S Manikandan
Assistant Editor, JPP
Address for correspondence: Manikandan S., Department of Pharmacology, Indira Gandhi Medical College and Research Institute, Kadirkamam, Puducherry, India. E-mail: manikandan001@yahoo.com
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Copyright © Journal of Pharmacology and Pharmacotherapeutics
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article has been cited by other articles in PMC.
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INTRODUCTION
The next step after the completion of data collection is to organize the data into a meaningful form so that a trend, if any, emerging out of the data can be seen easily. One of the common methods for organizing data is to construct frequency distribution. Frequency distribution is an organized tabulation/graphical representation of the number of individuals in each category on the scale of measurement.[1] It allows the researcher to have a glance at the entire data conveniently. It shows whether the observations are high or low and also whether they are concentrated in one area or spread out across the entire scale. Thus, frequency distribution presents a picture of how the individual observations are distributed in the measurement scale.
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DISPLAYING FREQUENCY DISTRIBUTIONS
Frequency tables
A frequency (distribution) table shows the different measurement categories and the number of observations in each category. Before constructing a frequency table, one should have an idea about the range (minimum and maximum values). The range is divided into arbitrary intervals called “class interval.” If the class intervals are too many, then there will be no reduction in the bulkiness of data and minor deviations also become noticeable. On the other hand, if they are very few, then the shape of the
S Manikandan
Assistant Editor, JPP
Address for correspondence: Manikandan S., Department of Pharmacology, Indira Gandhi Medical College and Research Institute, Kadirkamam, Puducherry, India. E-mail: manikandan001@yahoo.com
Author information ► Copyright and License information ►
Copyright © Journal of Pharmacology and Pharmacotherapeutics
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article has been cited by other articles in PMC.
Go to:
INTRODUCTION
The next step after the completion of data collection is to organize the data into a meaningful form so that a trend, if any, emerging out of the data can be seen easily. One of the common methods for organizing data is to construct frequency distribution. Frequency distribution is an organized tabulation/graphical representation of the number of individuals in each category on the scale of measurement.[1] It allows the researcher to have a glance at the entire data conveniently. It shows whether the observations are high or low and also whether they are concentrated in one area or spread out across the entire scale. Thus, frequency distribution presents a picture of how the individual observations are distributed in the measurement scale.
Go to:
DISPLAYING FREQUENCY DISTRIBUTIONS
Frequency tables
A frequency (distribution) table shows the different measurement categories and the number of observations in each category. Before constructing a frequency table, one should have an idea about the range (minimum and maximum values). The range is divided into arbitrary intervals called “class interval.” If the class intervals are too many, then there will be no reduction in the bulkiness of data and minor deviations also become noticeable. On the other hand, if they are very few, then the shape of the