Details of MA3206 (Spring 2023)

Level: 3 Type: Theory Credits: 4.0

Course CodeCourse NameInstructor(s)
MA3206 Statistics I Asok Kumar Nanda

Syllabus
\it Descriptive Statistics: Data, frequency distribution, line diagram, bar diagram, histogram, pie chart, pictorial presentation of data.

\it Applications of Different Moments: Measures of central tendency and dispersion, moments, Sheppard's correction, measures of skewness and kurtosis.

\it Correlation and Regression: Product moment correlation and rank correlation, simple regression, multiple regression, multiple correlation and partial correlation coefficients, forecasting.

\it Sampling: Drawing of samples based on SRSWR and SRSWOR, drawing of samples from different discrete and continuous statistical distributions.

\it Inference: Point estimation and interval estimation, tests of normal population mean and population variance, tests for equality of population means, tests for equality of population variances, paired-t test, test for population correlation coefficient, large sample tests for population mean, $\chi^2$ test for goodness of fit, $\chi^2$ test for independence of attributes.\\

Prerequisite
Probability I (MA2202)

References
1. Goon, A.M., Gupta, M. and Dasgupta, B., Fundamentals of Statistics, Vols. I & II, World Press.

2. Miller, I. and Miller, M., John E. Freunds Mathematical Statistics with Applications, Pearson.

3. Rencher, A.C., Methods of Multivariate Analysis, Wiley.

4. Snedecor, G.W. and Cochran, W.G., Statistical Methods. Iowa State University Press.

Course Credit Options

Sl. No.ProgrammeSemester NoCourse Choice
1 IP 2 Not Allowed
2 IP 4 Not Allowed
3 IP 6 Not Allowed
4 MP 2 Not Allowed
5 MP 4 Not Allowed
6 MR 2 Not Allowed
7 MR 4 Not Allowed
8 MS 10 Elective
9 MS 4 Not Allowed
10 MS 6 Elective
11 MS 8 Elective
12 RS 1 Elective
13 RS 2 Elective