It is a value around which the distribution lies.
The significance of the mean of a probability distribution is that it is the most probably thing to happen. The mean is the average of a set of values. If it is the average of a probability distribution, it is the most probable part.
In theoretical probability, the probability is determined by an assumed model (for example, the normal distribution). (compare with empirical probability)
Probability is the percentage of the chance, a certain event will happen.
Probabilty is a a fraction.
odds
Ok probabilty is easy once you get to know how to do it. Ok so have you ever picked a colored marble ou of a bag? well that's probabilty you will have a guess of what color you will pull out. That is how you do probabilty
To determine your sample score on the comparison distribution, you first need to calculate the sample mean and standard deviation. Then, you can use these statistics to find the z-score, which indicates how many standard deviations your sample mean is from the population mean. By comparing this z-score to critical values from the standard normal distribution, you can assess the significance of your sample score in relation to the comparison distribution.
the probabilty of both events is true. but which is most reliable is probabilty of B as it is more near to 1( total probabilty of any event)
It is the chance that something will happen.
Blaise Pascal
The mean of the sampling distribution is the population mean.
The mean of a distribution of scores is the average.