1.73 is greater than -1.79
The sign of the z score is negative if the observation was below the mean and positive if it was greater.
If the sample size is less then 30 use the T table, if greater then 30 use the Z table.
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.
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.
It is the value that is one standard deviation greater than the mean of a Normal (Gaussian) distribution.
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.
what is the z score for 0.75
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.
If the sample size is less then 30 use the T table, if greater then 30 use the Z table.