Question

Which of the following is an example of a subjective​ probability? A. Although College A has never played College B in​ basketball, a sports analyst believes there is a 0.8 probability that A will beat B in their upcoming game. B. Based on many years of​ data, an automobile insurance company estimates the probability that a randomly chosen​ 20-year old driver will have an accident during his 20th year as 0.001. C. After examining a deck of cards to determine that there are 52 cards of the correct suits and​ values, a card player says the probability of drawing the 7 of hearts is​ 1/52. D. After examining a coin to determine that it is an unaltered coin produced by the U.S.​ Mint, a gambler says the probability of a coin flip coming up heads is​ 1/2.

Answer 1

Answer:

The answer is option A.

Step-by-step explanation:

Subjective probability is defined as a probability which is derived from a person's own experience or belief without relying on any data or scientific calculation.

In the question, the situation given in option A is an example of subjective probability because the analyst is giving a probability based on his or her own belief without using any data at all.

The other options clearly state the probability is being calculated by relying on observations and data.

I hope this answer helps.