| Semester & Class |
Course Code |
Course Title |
Course Outcome |
Sem I
B.Sc
Mathematics |
STA1C 01 |
Introductory Statistics |
- To identify various measures of descriptive statistics such as measures of central tendency and dispersion.
- To develop the concept about correlation and regression analysis.
- To develop the concept about skewness and kurtosis.
- To discuss the significance of index numbers and time series in statistical context
|
Sem II
B.Sc Mathematics |
STA1C 02 |
Probability Theory |
- To identify the basic concepts of probability theory and study its properties.
- To understand the concept of random variables, mathematical expectation, moments and generating functions.
- To extend the random variable to bivariate case
|
Sem III
B.Sc
Mathematics |
STA1C 03 |
Probability distributions and Sampling theory |
- To understand popular discrete and continuous distributions.
- To understand the significance of law of large numbers-Chebyshev’s inequality, weak law of large numbers and central limit
- Theorem
- To illustrate the merits of sampling. Study various methods for probability sampling
- To understand various sampling distributions such as sample mean, sample variance, chi- square, student’s t and F distributions.
|
Sem IV
B.Sc Mathematics |
STA1C 04 |
Statistical Inference and Quality Control |
- To identify various methods for point estimation and interval estimation and the desirable properties of the estimates.
- To develop a clear idea for the need of statistical testing of hypothesis. Identify various procedure for testing the equality
- of means and variances.
- To study the concept of analysis of variance used for comparing the equality of several means
- To familiarize the application of statistics in quality control. Also to develop control chart for variables and attributes.
|