1% total 0.5% in either direction
-0.92
The top right one... it is the first because it is where both the x-value and y-values are positive. The second quadrant is the top left. The x-values are negative and the y-values are postive. The third quadrant is the bottom left. The x-values are negative and the y-values are negative. The fourth quadrant is the bottom right. The x-values are positive and the y-values are negative.
It is the set of values that a variable can take together with the probability or frequency distribution for those values.
... negative.... negative.... negative.... negative.
The probability that a statistical that will give give a false negative error.
Negative values, values greater than 1, complex values.
No, it's not a probability since it's not set in terms of ratio of two values, such that the second value is greater than the first. For instance: 1 to 2 or 1 / 2. Also, probability is never negative.
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
No. The probability cannot be negative.
Probabilities can never be negative. A probability distribution is defined as follows:Every event has a probability of occurring between 0 and 1, inclusive.The sum of the probabilities of each event occurring is 1.
no, z score can be negative but a probability is a always positive between 0 and 1.
No, it can't.
The answer will depend on the skewness of the distribution.The Poisson distribution is defined for non-negative integers: 0, 1, 2, 3, 4 etc. So the lowest value is 0.For a Poisson distribution with parameter l=1 (when it is very skew), the probability of the lowest two values, 0 and 1, is 0.368 each and the probability tails off rapidly for higher values.The answer will depend on the skewness of the distribution.The Poisson distribution is defined for non-negative integers: 0, 1, 2, 3, 4 etc. So the lowest value is 0.For a Poisson distribution with parameter l=1 (when it is very skew), the probability of the lowest two values, 0 and 1, is 0.368 each and the probability tails off rapidly for higher values.The answer will depend on the skewness of the distribution.The Poisson distribution is defined for non-negative integers: 0, 1, 2, 3, 4 etc. So the lowest value is 0.For a Poisson distribution with parameter l=1 (when it is very skew), the probability of the lowest two values, 0 and 1, is 0.368 each and the probability tails off rapidly for higher values.The answer will depend on the skewness of the distribution.The Poisson distribution is defined for non-negative integers: 0, 1, 2, 3, 4 etc. So the lowest value is 0.For a Poisson distribution with parameter l=1 (when it is very skew), the probability of the lowest two values, 0 and 1, is 0.368 each and the probability tails off rapidly for higher values.
no
What is the significance of negative values of voltage and current?Negative values show direction and that is the significance
Probability is a ratio of two counts: both of which MUST be positive. Their ratio cannot be negative.