HOD's Desk 

The Department has a well-equipped computer lab where the students get the opportunity and space to connect theoretical knowledge with practical learning. The Department also has a well-maintained library.

Department’s Mission: 
To produce potential graduates having sound knowledge of major statistical tools and techniques that can be applied in various domains of research areas like biological sciences, mathematical sciences, management sciences and data sciences. Better understanding of this interdisciplinary subject will result into fruitful outcomes for the betterment of science and society.

Faculty :

Sr.No		Name of the Teacher	Designation	Phone No	Email ID
1		Prof. Y.S. Patil	Head, Associate Professor	8805903185	yashpatil4356@gmail.com
2		Dr. S.H. Patil	Assistant Professor	9421112164	patilsubhash2007@gmail.com
3		Mr. C.S. Barakale	C.H.B. (2024-25)		chandradipbarakale55@gmail.com

Syllabus : Click on - B.Sc.III- Sem V & VI 

Course Outcomes :

Paper - IX

a) Knowledge of important univariate distributions such as Rayleigh, Weibull, Linear failure rate, Cauchy, Lognormal, Logistic, Pareto, Power Series Distribution.
b) Knowledge of Multinomial and Bivariate Normal Distribution.
c) Knowledge of Truncated Distributions.
d) Information of various measures of these probability distributions.
e) Acumen to apply standard continuous probability distributions to differentsituations.

 Paper - X

a) Knowledge about important inferential aspect of point estimation.
b) Concept of random sample from a distribution, sampling distribution of a statistic, standard error of important estimates such as mean and proportions.
c) knowledge of various important properties of estimator,
d) Knowledge about inference of parameters of standard discrete and continuous distributions.
e) Concept of Fisher information and CR inequality.
f) Knowledge of different methods of estimation.

Paper - XI

a) Basic knowledge of complete enumeration and sample, sampling frame sampling distribution, sampling and non-sampling errors, principle steps in sample surveys, sample size determination, limitations of sampling etc.
b) Concept of various sampling methods such as simple random sampling, stratified random sampling, systematic sampling and cluster sampling.
c) An idea of conducting sample surveys and selecting appropriate sampling techniques.
d) Knowledge of comparing various sampling techniques.
e) Knowledge of ratio and regression estimators.

Paper - XII

a) importance of R- programming
b) knowledge of identifiers and operators used in R.
c) knowledge of conditional statements and Loops used in R.
d) knowledge of quality tools used in Quality management.
e) knowledge of process and product control used in Quality management

Paper - XIII

a) knowledge about order statistics and associated distributions
b) concept of convergence and Chebychev’s inequality and its uses
c) concept of law large numbers and central limit theorem and its uses.
d) knowledge of terms involved in reliability theory as well as concepts and measures

Paper - XIV

a) concept of interval estimation.
b) knowledge of interval estimation of mean, variance and population proportion.
c) knowledge of important aspect of test of hypothesis and associated concept.18
d) concept about parametric and non-parametric methods.
e) Knowledge of some important parametric as well as non–parametric tests.

Paper - XV

a) Knowledge of basic terms used in design of experiments.
b) Concept of one-way and two-way analysis of variance.
c) Knowledge of various designs of experiments such as CRD, RBD, LSD and factorial experiments.
d) Knowledge of using an appropriate experimental design to analyze the experimental data.

Paper - XVI

a) Concept of Linear programming problem.
b) Knowledge of solving LPP by graphical and simplex method.
c) Knowledge of Transportation, Assignment and Sequencing problems.
d) Concept of queuing and decision theory.
e) Knowledge of simulation technique and Monte Carlo technique of simulation.