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
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.
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.