The statement is true that a sampling distribution is a probability distribution for a statistic.
FALSE. The probability of success (or anything else) cannot be greater than 1.0
Yes, it is true.
true
True. Due to the symmetry of the normal distribution.
False; the "or" is an additive property so the probability of rain or snow muse be greater than or equal to 0.65.
FALSE. The probability of success (or anything else) cannot be greater than 1.0
False.
The F-distribution is either zero or positive, so there are no negative values for F. This feature of the F-distribution is similar to the chi-square distribution. The F-distribution is skewed to the right. Thus this probability distribution is nonsymmetrical.
Yes, it is true.
true
The power of a statistical test is the probability that the test will reject the null hypothesis when it is, in fact, false. Please see the link.
It is true because the distribution is symmetrical about Z=0.
True. Due to the symmetry of the normal distribution.
False; the "or" is an additive property so the probability of rain or snow muse be greater than or equal to 0.65.
False. A region in which there is a high probability of finding an electron is called an orbital in quantum mechanics, not a field.
No, it is not. It is a statement. It is false, but that is not relevant.
False. A normalized distribution curve (do not confuse normalized with normal), by definition, has an area under the curve of exactly 1. That is because the probability of all possible events is also always exactly 1. The shape of the curve does not matter.