Download Applied Statistics for Agriculture, Veterinary, Fishery, by Pradip Kumar Sahu PDF

By Pradip Kumar Sahu

ISBN-10: 8132228294

ISBN-13: 9788132228295

This booklet is aimed toward quite a lot of readers who lack self belief within the mathematical and statistical sciences, really within the fields of Agriculture, Veterinary, Fishery, Dairy and different comparable parts. Its aim is to give the topic of facts and its priceless instruments in quite a few disciplines in this sort of demeanour that, after analyzing the ebook, readers could be built to use the statistical instruments to extract another way hidden info from their info units with self assurance. beginning with the which means of statistics, the e-book introduces measures of principal tendency, dispersion, organization, sampling equipment, likelihood, inference, designs of experiments and lots of different matters of curiosity in a step by step and lucid demeanour. The suitable theories are defined intimately, by means of a vast diversity of real-world worked-out examples, solved both manually or with assistance from statistical programs. In ultimate, the ebook additionally encompasses a bankruptcy on which statistical programs to take advantage of, looking on the user’s respective requisites.

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Extra resources for Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields

Example text

PE , respectively. Then 1 n 2 average fortnightly consumption of petrol is given by nE E E E þ þ ... þ p1 p2 pn nE  ¼  1 1 1 þ þ ... 5 Median Median of a set of “N” number of observations X1, X2, X3,. ,XN for variable X is defined as the value of the middlemost observation. When we talk about the value of the middlemost observation, then there is a need for arrangement of the ChhattAssam Bihar isgarh State/UT AP Production (’000 t) 1603 229 344 251 Solution Let us arrange the data in ascending order of their values as follows: 17, 18, 19, 20, 23, 24, 25, 26, 27, 28, and 30.

Let there be a set of “N” observations, each having a constant value, say N N “U,” so their harmonic mean ¼ N ¼ ¼ U. 4676 g). In fact the relation among the three types of means is that AM ! GM ! HM. Thus for a given set of data, HM has the lowest value. This type relationship among the three means raises the question as to which type of mean should be used to represent a particular data set. Arithmetic mean is widely used in most of the situations where the data generally do not follow any definite pattern.

Our objective is to find the better pond for rearing of that particular breed of fish. 6 2 That means we need to have certain measures by which one can compare the two ponds with respect to their performance in yielding better weights of fishes. Moreover, human instinct is to find out certain value(s), which can represent the set of information given in a big data set. Let us take another example of run scored by two batsmen in ten different cricket innings which they have played together. 2 Run scored by two batsmen in 10 innings played together Player A 12 93 164 16 26 73 178 13 3 8 Player B 46 64 75 45 62 58 106 45 45 40 Now the question is which player is better?

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