p = 1 means 100 out of 100 or 100% so .1 means one time in every 10 or 1/10.
1.
A Bernoulli distribution is a discrete probability distribution which takes value 1 with success probability p and value 0 with failure probability q = 1 - p.
It is the probability of the observed value.
No. Probability must be between 0 and 1.
A probability must needs be a number between 0 and 1 (often expressed as 0% and 100%), inclusive.
1.
A Bernoulli distribution is a discrete probability distribution which takes value 1 with success probability p and value 0 with failure probability q = 1 - p.
It is the probability of the observed value.
No. Probability must be between 0 and 1.
A joint probability can have a value greater than one. It can only have a value larger than 1 over a region that measures less than 1.
A probability must needs be a number between 0 and 1 (often expressed as 0% and 100%), inclusive.
No, we can't expression any negative value as a probability. A probability ranges from 0 to 1 - 0 being the lowest and 1 being the highest.
A value that is between 0 and 1.
If the probability of an event occurring is p, then 1-p represents the probability of the same event not occurring. The value of p must lie between 0 and 1.
A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).
It is usually any value between 0.5 and 1.
If X takes the value 1 with probability p and 0 with probability (1-p), and there are n independent trials then E(X) = np