Week - 1 |
Basic notions of the statistics: Population, sample, data set, experimental unit, variable. |
Week - 2 |
Basic notions of statistics: Types of variable, scale of measurements, data collection methods. |
Week - 3 |
Grapgical display of the data. |
Week - 4 |
Location measures. |
Week - 5 |
Measures for variability. |
Week - 6 |
Quantiles of the data, interquartile range, box plot. |
Week - 7 |
Basics of probability. |
Week - 8 |
Conditional probability and independency. |
Week - 9 |
Notion of discrete distribution, probability distribution, expectation and variance of a discrete distribution. |
Week - 10 |
Binomial and Poisson distributions. |
Week - 11 |
Notion of continuous distribution, cumulative distribution function, probability calculation for continuous distribution. |
Week - 12 |
Standard normal distribution and z table. |
Week - 13 |
Normal distribution and its applications. |
Week - 14 |
Normal distribution approximation to Binomial distribution. |