The sign of the z score is negative if the observation was below the mean and positive if it was greater.
z score = (test score - mean score)/SD z score = (87-81.1)/11.06z score = 5.9/11.06z score = .533You can use a z-score chart to calculate the probability from there.
If the sample size is less then 30 use the T table, if greater then 30 use the Z table.
A z-score of 0 means the value is the mean.
The z-score must be 1.87: the probability cannot have that value!
The sign of the z score is negative if the observation was below the mean and positive if it was greater.
Assume the z-score is relative to zero score. In simple terms, assume that we have 0 < z < z0, where z0 is the arbitrary value. Then, a negative z-score can be greater than a positive z-score (yes). How? Determine the probability of P(-2 < z < 0) and P(0 < z < 1). Then, by checking the z-value table, you should get: P(-2 < z < 0) ≈ 0.47725 P(0 < z < 1) ≈ 0.341345
The z score is -2 or +2!
The z-score, for a value z, is the probability that a Standard Normal random variable will have a value greater than z.
0.7881 approx.
Pr(Z > -2) = 97.725%
It means that the random variable in question is considerably greater than the mean.
The Z-score is just the score. The Z-test uses the Z-score to compare to the critical value. That is then used to establish if the null hypothesis is refused.
It is the value that is one standard deviation greater than the mean of a Normal (Gaussian) distribution.
what is the z score for 0.75
z score = (test score - mean score)/SD z score = (87-81.1)/11.06z score = 5.9/11.06z score = .533You can use a z-score chart to calculate the probability from there.
Yes. However, a z-score greater than 3 implies either that the outcome is rare (prob = 0.135%) or that some of the assumptions regarding the variable are incorrect. This could be the distribution itself or its parameters.