The value of a probability is a number between 0 and 1
So it's either positive and less or equal to one or null
no, z score can be negative but a probability is a always positive between 0 and 1.
Probability values are never negative and are always between 0-1 according to the definition Probability of A= Number of outcomes classified as A/Total number of possible outcomes
It will not. For the interval (x, x+dx) it may well give a non-zero probability. With a continuous distribution, the probability of any particular value is always 0. What the probability density function gives is the probability that the variable is NEAR the selected value.
There is a chance that it might be.
Not necessarily. There may not even be a way to work out a theoretical probability. Furthermore, there is always a chance, however small, that the experimental probability is way off.
No. Probability values always have to be positive.
No. Probability is always represented as a positive ratio/fraction/percent.
yes.
no, z score can be negative but a probability is a always positive between 0 and 1.
Probability values are never negative and are always between 0-1 according to the definition Probability of A= Number of outcomes classified as A/Total number of possible outcomes
If the type 1 error has a probability of 01 = 1, then you will always reject the null hypothesis (false positive) - even when the evidence is wholly consistent with the null hypothesis.
This is a binomial probability distribution; n=12, r=2 & P=.05. Read directly from the table probability of 2 is .099 (plugging this data into my calculator gives 0.09879).
It is 0.5
The probability isP(you have the disease)*P(the test shows positive when testing someone with the disease) +P(you don't have the disease)*P(the test shows positive when testing someone without the disease).The second category is particularly important if the disease is rare but the probability of a type II error is large.
an impossible event has a probability of 0, it will never occur a certain event has a probability of 1, it will always occur
It will not. For the interval (x, x+dx) it may well give a non-zero probability. With a continuous distribution, the probability of any particular value is always 0. What the probability density function gives is the probability that the variable is NEAR the selected value.
The square of a number is always two numbers multiplied together. A positive times a positive is always positive, and a negative times a negative is always positive.