Statistics

B.Sc.Part–I Semester –I

DSC–7A – STATISTICS – I

(DESCRIPTIVESTATISTICS– I) (Credits: 02)

Course Outcomes:Thestudents will acquire knowledge of

1. meaning and scope of Statistics, various statistical organizations,
2. data and types of data, various data presenting methods,
3. population, sample and various methods of sampling,
4. variousmeasuresofcentraltendencies and dispersion,
5. .moments,skewness and kurtosis

B.Sc.Part–I Semester –I

DSC–8A – STATISTICS – II

(ELEMENTARY PROBABILITY THEORY) (Credits: 02)

Course outcomes:Students will be able to; 

1. distinguish between random and non-random experiments
2. acquire knowledge of concepts of probability
3. use the basic probability rules, including additive and multiplicative laws
4. understand concept of conditional probability and independence of events.
5. understand concept of univariate random variable and its probability distributions
6. acquire knowledge of mathematical expectation of univariate random variable.

B.Sc.Part–I Semester –II

DSC–7B – STATISTICS – III

(DESCRIPTIVE STATISTICS – II) (Credits: 02)

Course Outcomes:Students will acquire knowledge of;

1. correlation coefficient and interpret its value.
2. regression coefficients, interpret its value and use in regression analysis.
3. qualitative data including concept of independence and association between two attributes
4. vital statistics and concept of mortality and fertility and growth rates.

B. Sc. Part–I Semester –II

DSC–8B – STATISTICS – IV

(DISCRETE PROBABILITY DISTRIBUTIONS) (Credits: 02)

Course Outcome:Student will be able to acquire knowledge of;

1. bivariate discrete distributions,independence of bivariate r.vs., Mathematical expectation of bivariate discrete random variable.
2. one pointdistribution, two point distribution, Bernoulli distribution,
3. Uniform distribution, Binomial distribution, Hypergeometric distribution,
4. Poisson distribution, Geometric distribution and Negative binomial distribution.

B. Sc. Part-I

SUBJECT: STATISTICS

Practical Paper-I (Credit2)

Course Outcomes:Studentswill able to;

1. acquire knowledge of computations using MS-Excel.
2. representstatisticaldatadiagrammaticallyandgraphically.
3. computevariousmeasuresof centraltendency,dispersion,moments,skewnessandkurtosis.
4. computecorrelationcoefficient,regressioncoefficients.
5. understandconsistency,associationandindependenceof attributes.
6. interpretsummaryStatisticsof computeroutput.
7. knowapplicationsof somestandarddiscreteprobabilitydistributions.
8. computethe various fertility rates, mortality rates and growth rates.

B. Sc. Part-II: SEMESTER III

DSC - 7C- STATISTCS –V

Probability Distributions–I (Credit 2)

COURSE OUTCOMES: The main objective of this course is to acquaint students with the basic concepts of discrete distributions defined on countably infinite sample space, continuous univariate and bivariate distributions, transformation of univariate continuous random variable. By the end of the course students are expected to be able to:

a) understand concept of discrete and continuous probability distributions with real life situations.

b) distinguish between discrete and continuous distributions.

c) find the various measures of random variable and probabilities using its probability distribution.

d) know the relations among the different distributions.

e) understand the concept of transformation of univariate and bivariate continuous random variable.

B. Sc. Part-II: SEMESTER III

DSC - 8C- STATISTCS –VI

Statistical Methods-I (Credit 2)

COURSE OUTCOMES:  The main objective of this course is to acquaint students with the basic concepts of Multiple Linear Regression, Multiple and Partial Correlation, Sampling Theory and Demography. By the end of the course students are expected to be able to be:

a) understand the concept of Multiple Linear Regression.

b) understand the concept of Multiple Correlations and Partial Correlation.

c) know the concept of sampling theory.

d) understand the need of vital statistics and concept of mortality and fertility.

B. Sc. Part-II: SEMESTER IV

DSC-7D-STATISTCS –VII

Probability Distributions-II (Credit 2)

COURSE OUTCOMES: The main objective of this course is to acquaint students with the Uniform, Exponential, Gamma and Beta, Normal distributions and Exact Sampling distributions. By the end of the course students are expected to be able to:

a) know some standard continuous probability distributions with real life situations.

b) distinguish between various continuous distributions.

c) find the various measures of continuous random variable and probabilities using its probability distribution. 4

d) understand the relations among the different distributions.

e) understand the Chi-Square, t and F distributions with their applications and inter relations.

B. Sc. Part-II: SEMESTER IV

DSC-8D - STATISTICS – VIII

Statistical Methods-II (Credit 2)

COURSE OUTCOMES: The main objective of this course is to acquaint students with the concepts of Time Series, Statistical Quality Control, Testing of Hypothesis. By the end of the course students are expected to be able to:

a) know the concept and use of time series.

b) understand the meaning, purpose and use of Statistical Quality Control, construction and working of control charts for variables and attributes

c) apply the small sample tests and large sample tests in various situations.

 

B. Sc. Part-II

SUBJECT: STATISTICS

Practical Paper- II and III(Credit 2+2)

Course Outcomes:

By the end of the course students are expected to be able to:

a) compute probabilities of standard probability distributions.

b) compute the expected frequency and test the goodness of fit.

c) understand how to obtain random sample from standard probability distribution and

sketch of the p. m. f. / p. d. f. for given parameters.

d) fit plane of Multiple regression and compute Multiple and Partial correlationcoefficients.

e) draw random samples by various sampling methods

f) construct various control charts.

g) understand the applications of Poisson, Geometric and Negative Binomialdistributions.

B. Sc. Part-III Semester V

DSE-E13– STATISTICS - IX

ProbabilityDistributions(Credit 02)

Course Outcomes: Thestudents will acquire

a) knowledge of important univariate distributions such as Laplace, Cauchy,

b)Lognormal, Weibull, Logistic, Pareto, Power Series Distribution.

      c) knowledge of Multinomial and Bivariate Normal Distribution.

      d) knowledge of Truncated Distributions.

      e) information of various measures of these probability distributions.

f) acumen to apply standard continuous probability distributions todifferentsituations.

B. Sc. Part-III Semester V

DSE-E14 – STATISTICS - X

Statistical Inference-I(Credit 02)

Course Outcomes:The students will acquire

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.

B. Sc. Part-III Semester V

DSE-E15– STATISTICS - XI

Design of Experiments (Credit 02)

Course Outcomes:The students will acquire

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 experimentaldata.

B. Sc. Part-III Semester V

DSE-E16– STATISTICS - XII

R-Programming and Quality Management(Credit 02)

Course outcomes: The students will acquire

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.

B. Sc. Part-III Semester VI

DSE-F13 – STATISTICS - XIII

Probability Theory and Applications(Credit 02)

Course Outcomes: The students will acquire

a) knowledge about order statistics and associated distributions

b) concept of convergence and Chebychev’sinequality 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.

B. Sc. Part-III Semester VI

DSE-F14 – STATISTICS - XIV

Statistical Inference-II (Credit 02)

Course Outcomes:The students will acquire

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.

d) concept about parametric and non-parametric methods.

e) Knowledge of some important parametric as well as non–parametric tests.

 

B. Sc. Part-III Semester V

DSE-F15 – STATISTICS - XV

Sampling Theory (Credit 02)

Course Outcomes: The students shall get

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 samplingtechniques.

d) knowledge of comparing various sampling techniques.

e) knowledge of ratio and regression estimators.

B. Sc. Part-III Semester V

DSE-F16– STATISTICS - XVI

Operations Research(Credit 02)

Course Outcomes: The students will acquire

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 theory.

e) Knowledge of simulation technique and Monte Carlo technique of simulation.

B.Com. (SEM-III)

BUSINESS STATISTICS PAPER-I

Course Outcomes: After completion of this course, the students will be able to

1. Explain the scope of statistics in business, perform classification and tabulation, and represents the data vby means of simpl diagrams and graphs.

2.Explain and apply sampling techniques in real life.

3.Summarize data by means of measures of central tendency and dispersion.

4.Explain the merits and demerits of various measures of central tendency and dispersion.

5.Perform analysis of bivariate data using simple correlation and simple linear regression.

B.Com. (SEM-IV)

BUSINESS STATISTICS PAPER-II

Course Outcomes: After completion of this course, the students will be able to

1. Compute unconditional and conditional probabilities and apply laws of probabilities.
2. Identify the applications of Binomial and normal distributions.
3. Measure trend and seasional variations in time series data.
4. Compute and interpret simple and weighted index numbers.
5. Construct and apply variable and attribute control charts.