Abstract
The general instinct of any investigator is to present his/her data with a single value. For example, a breed of poultry bird is known by its average-egg laying capacity, which is obtained from the eggs laid by the individual chick in a group of chicks. At the same time, the investigator may also be interested to know the variations in egg-laying capacity that he or she expects a range with in which a particular breed should lay eggs. Thus, the overall picture, instead of the capacity of the individual chicks, is of utmost interest to the investigator. Let us consider two data sets of weights (pounds) of 20 fishes of a particular breed caught from two different ponds. Our objective is to find the better pond for rearing of that particular breed of fish.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this chapter
Cite this chapter
Sahu, P.K. (2016). Summary Statistics. In: Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2831-8_3
Download citation
DOI: https://doi.org/10.1007/978-81-322-2831-8_3
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2829-5
Online ISBN: 978-81-322-2831-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)