As promised last time , I will cover examples of discrete and continuous probability distributions. Top: Discrete Probability Middle: Continuous Probability Bottom: Disjointed Probability Disjointed won't be covered in this course. Discrete Probability Model (example): The following table represents the probabilities of people of certain age groups living alone, living with a spouse, or living with at least one person who is not a spouse. 15-19 20-24 25-34 35-44 Alone 0.001 0.011 0.031 0.030 With Spouse 0.001 0.023 0.155 0.216 With others 0.169 0.132 0.142 0.089 Because there is a finite amount of categories which has a non-zero probability of occurring, this is considered to be a discrete probability model. Then again, I am assuming that it is a probability model. Remember from the first lecture th...
The official blog of The Science of Life and The Science They Don't Want You to Know. Describing the mathematics and science in our every day lives as well as the science that various industries and government agencies may not want the common people to know.