Answer:
a. Classical Probability.
b. Classical Probability.
c. Bayesian Probability
d. Bayesian Probability.
e. Classical Probability.
Explanation:
In classical probability, each event has an equal likelihood of occurring.
However, Bayesian probability is a probability based on belief or a state of knowledge.
a. The chance of getting a 5 on a fair 6-sided die is 1/6.
This is a Classical Probability. There are 6 sides and getting each side has an equal probability of 1/6.
b. The chance that the shelter-at-home restrictions in the SF Bay Area will be lifted by May 3 is 50%.
This is also a Classical Probability. The are two possible occurrences, either it will be lifted or not and each has an equal probability of 50%.
c. There is a 95% chance of an additional major correction (drop of 20% or more) in the stock market in the next 2 months.
This is an example of Bayesian Probability as it is based on the belief of the speaker probably from his/her analysis of the trend in the stock market.
d. The chance a baby will be born male is 51%.
This is an example of Bayesain Probability. Each gender is supposed to have an equal chance of 50%.
e. If you flip a fair coin many times, about 50% of the time you will have gotten heads.
In a fair coin, the Probability of getting a head or a tail is equal. Since the probability given is 50%, it is a Classical Probability.
