If it is a regular dice then the probability is 3/6 that is 1/2
Rolling the dice once will result in any one of the six numbers having the same probability of being up. The probability of getting a '5' = 1/6, the same as getting a '1.' ============================
They are methods of obtaining the probability of an event.
yes
They are "events that have the same probability". Nothing more, nothing less.
Equiprobable, but I would stick with simplicity of communication and go with "having the same probability".
The probability with 30 people is 0.7063 approx.
If it is a regular dice then the probability is 3/6 that is 1/2
equally likely
Rolling the dice once will result in any one of the six numbers having the same probability of being up. The probability of getting a '5' = 1/6, the same as getting a '1.' ============================
Fairly small, hower as there are over a hundred different forms of the disease amd there is a separate statistical probability for having any of them. Having one form of arthritis does not necssarily preclude you from having another and at imes leads you to being in a situation where the results are the same.
1-.015 = .985
50%
They are methods of obtaining the probability of an event.
yes
To determine the probability of 15 random people all having the same birthday, consider each person one at a time. (This is for the non leap-year case.)The probability of any person having any birthday is 365 in 365, or 1.The probability of any other person having that same birthday is 1 in 365, or 0.00274.The probability, then, of 15 random people having the same birthday is the product of these probabilities, or 0.0027414 times 1, or 1.34x10-36.Note: This answer assumes also that the distribution of birthdays for a large group of people in uniformly random over the 365 days of the year. That is probably not actually true. There are several non-random points of conception, some of which are spring, Valentine's day, and Christmas, depending of culture and religion. That makes the point of birth, nine months later, also be non-uniform, so that can skew the results.
They are "events that have the same probability". Nothing more, nothing less.