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| Under Graduate Degree |
Year module |
NQF level: 6 |
Credits: 12 |
| Module presented in English |
Module presented online |
| Pre-requisite: (STA1503 & MAT1512) or DSC1520 or DSC1620 |
Co-requisite: STA2610 |
| Purpose: To gain insight into the role that formal theory plays in data analytic methods, discussing a wide variety of discrete and continuous distributions simultaneously. After completion students should understand the joint probability structure of two random variables (discrete and continuous case); be able to calculate expectation, variance, covariance, conditional expectation and moment-generating functions; have insight into distributions of functions of independent random variables; prove the law of large numbers and the central limit theorem under fairly strong assumptions; comprehend how the Chi-square, t, and F distributions are derived from the normal distribution. |