BIOMETRY . ,

1. SOKOINE UNIVERSITY OF AGRICULTURE
FACULTY OF SCIENCE
DEPARTMENT OF BIOMETRY AND MATHEMATICS
MTH 201 COURSE ASSIGNMENT
COURSE NAME: BIOMETRY
NAME; GEORGE ZACHARIA
Reg No: IWR/D/11/T/0015
INSTRUCTOR; Mr. EDWINE DANIEL

2. Biometry is the application of statistics probability mathematics systems analysis,
operation research, engineering computer science, and other areas to the live
sciences.
BIOMETRYCAN SAVEPROBLEM INMY FIELD SUCH AS
A/ The production fertilizer plant is dependent upon many features to the
chemical plant under consideration by observation these factors and the
production over a period of time, we can constructa prediction equation relating
the production quantity to the observed factor. The plants future production of a
given set of factors can be prediction using this equation.
B. A new vaccine has been introduced to the market.to test the effectiveness of
the vaccineagainst a standard vaccine already in use, a veterinarian
administrated two groups of cattle respectively with a standard vaccineVs and a
new vaccineVn of 14 animals given Vs 10 contracted brucellosis and 11 did not
should the new vaccine be considered more effective?
C/ An agronomistis called upon to make a judgment whether a new variety of
sorghum out-yields local variety which has been grown by local farmer for many
years .
fifteen plots each weregrown the two variety local and s044.thetotal yield for
these two varieties were150 and 180 kg respectively .what should the
agronomistconclude ?
Also since biometry is the application of statistical method to the solution of
biological problems it can solve the following;-

3. MULTIVARIATEANALYSIS OF VARIENCE
The main purposeof analysis is to determine if the sample could have been
drawn fromsingle statistical populations ie are the mean vectors of the
population equal?
Example:- some contributions to ANOVA in one or more
. dimensions
-A comparison of some methods of simultaneous
inference
–The utilities of multiple measurements in problems.
-On the interrelated natureof multivariate statistics used in
discriminatory analysis.
DISCRIMINATIONANALYSIS
The main purposeof the analysis is to find linear combinations of the variables
that maximize differences among preexisting populations ie one wishes to sort
the objects into their appropriate populations with minimal error.
CLUSTER ANALYSIS
The main purposeof the analysis is to sorta previously unportioned
heterogeneous collection of objects into a series of set ie one wishes to identify
sets and allocate objects to these sets simultaneously.
Example:- A statistical method for evaluating systematical .
relationships.
-A comparison of some methods of cluster analysis
-Correlation coefficient
Actually biometry has many applications in Agriculture but these are some