CBCGS [2019 - current]

CBGS [2015 - 2018]

Old [2000 - 2014]

## Units and Topics

# | Unit/Topic | Marks |
---|---|---|

100 | Review of Basic Statistics and Probability | - |

200 | Sampling and Sampling Distributions | - |

300 | Hypothesis Testing | - |

400 | Correlation and Regression | - |

500 | Management Decision Making | - |

600 | Linear Programming | - |

700 | Introduction to Genetic Algorithms | - |

Total | - |

## Syllabus

100 Review of Basic Statistics and Probability

- Probability Distributions, Theoretical: binomial, poisson, normal, exponential, hypergeometric, uniform

200 Sampling and Sampling Distributions

- Probability and non-probability samples, sampling and non-sampling errors.
- Sample size, sampling distributions: t, F and ƛ ²distributions.

300 Hypothesis Testing

- Type I and II error, testing of mean, proportion, tests for equality of mean and variances of two populations, confidence interval, ƛ ² test for goodness of fit, ANOVA (one way classification),Non parametric tests: sign test, U test

400 Correlation and Regression

- Karl Pearson's and Rank Correlation coefficient, simple linear regression least squares method.

500 Management Decision Making

- System approach, decision making under uncertainty and risk: decision tables and decision tree.

600 Linear Programming

- Graphical solution, simplex method, dual, sensitivity analysis, transportation and assignment problems

700 Introduction to Genetic Algorithms

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