The rejection region for a hypothesis is the set of values such that if the null hypothesis is true, then the probability of observing a value for the test statistic (the z-score) for a random variable that may be assumed to have a Normal distribution, is at least as great as the value actually observed is less than by chance. The latter is an arbitrarily selected value called the p-value - often 5% or 1%.
Note that z-scores may be used only if the random variable is approximately Normally distributed - not otherwise.
A z-score of 0 means the value is the mean.
20
z-score of a value=(that value minus the mean)/(standard deviation). So a z-score of -1.5 means that a value is 1.5 standard deviations below the mean.
20
The numerical value of a score is 20 and as a Roman numeral it is XX
The rejection and non rejection regions are divided dividing point. critical value. point of no return. rejection value
A z-score of 0 means the value is the mean.
z-score of a value=(that value minus the mean)/(standard deviation). So if a value has a negative z-score, then it is below the mean.
z-score of a value=(that value minus the mean)/(standard deviation)
z-score of a value=(that value minus the mean)/(standard deviation)
z-score of a value=(that value minus the mean)/(standard deviation)
A negative z score is a value that is less than the mean value.
20
The standard deviation.z-score of a value=(that value minus the mean)/(standard deviation)
z-score of a value=(that value minus the mean)/(standard deviation). So a z-score of -1.5 means that a value is 1.5 standard deviations below the mean.
20
Charts typically show and list the area to the left of the Z-Score value. To find the area to the right, just subtract the Z-Score value from 1; e.g. if the Z-Score value is .75 then take 1-.75 = .25.