MATH1005 Lecture Notes - Lecture 7: Css Box Model, Standard Error, Rstudio
25 Oct 2018
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Document Summary
Chances comes with many variables that can be assessed in mass, with the number of tosses, relative to chance error. Number of heads (observed) = half the number of tosses (expected) + chance error. As the number of tosses increase, the chance error increases, but its percentage decreases. The law of averages states that the proportion of heads become more stable as the length of the simulation increases and approaches a fixed number called the relative frequency. This means that the law of averages indicate how, as the number of trials increase, the probability of an event occurring would eventually be approaching its theoretical value. Ie how 100 coin tosses will still have a 50% chance of heads or tails. This will be the primary model to visualise the chance process. It would produce summary of the probabilities in a large set.
