This essay focuses on the probability of flipping a head or a tail..Whereas expectation provides a measure of centrality, the variance of a random variable quantifies the spread
Introduction to Probability Theory task. Do not plagiarism, thank you..
This chapter is an introduction to the basic concepts of probability theory.
Randomness is all around us. Probability theory is the mathematical framework that allows us to analyze chance events in a logically sound manner. The probability of an event is a number indicating how likely that event will occur. This number is always between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.
A classic example of a probabilistic experiment is a fair coin toss, in which the two possible outcomes are heads or tails. In this case, the probability of flipping a head or a tail is 1/2. In an actual series of coin tosses, we may get more or less than exactly 50% heads. But as the number of flips increases, the long-run frequency of heads is bound to get closer and closer to 50%.Whereas expectation provides a measure of centrality, the variance of a random variable quantifies the spread of that random variable’s distribution. The variance is the average value of the squared difference between the random variable and its expectation.For an unfair or weighted coin, the two outcomes are not equally likely. You can change the weight or distribution of the coin by dragging the true probability bars.
firstly, be sure
thirdly, be sober