Use the context: if the variable should be greater than the mean then z is positive and if less than the mean, it should be negative.
The positive critical value depends on the distribution and then the parameters (if any) which characterise the distribution.
Neither. It is symmetrical.
A positive times a positive equals a positive, a negative times a negative equals a positive, a negative times a positive equals a negative(vice versa for the last one)
If your point is positive positive it is in 1. If tour point is negative positive it is in 2. If your point it negative negative it is in 3. And if your point it positive negative it is in 4.
Probability distribution in which an unequal number of observations lie below (negative skew) or above (positive skew) the mean.
The positive critical value depends on the distribution and then the parameters (if any) which characterise the distribution.
Neither. It is symmetrical.
A positive times a positive equals a positive, a negative times a negative equals a positive, a negative times a positive equals a negative(vice versa for the last one)
If your point is positive positive it is in 1. If tour point is negative positive it is in 2. If your point it negative negative it is in 3. And if your point it positive negative it is in 4.
non - polar.
It means distribution is flater then [than] a normal distribution and if kurtosis is positive[,] then it means that distribution is sharper then [than] a normal distribution. Normal (bell shape) distribution has zero kurtosis.
Probability distribution in which an unequal number of observations lie below (negative skew) or above (positive skew) the mean.
Depend on which is larger, that will determine whether your answer is positive or negative. For example -9 + 3 = -6. Polarity (so to speak) will be the larger value.
If work is done on the system then it has a negative sign. If work is done by the system then it has a positive sign.
All positive integers are all greater than negative integers.
The Z value is negative, but area is always positive.
By examined the blood of the patient.