You then have big problems. However, rather than SPSS making incorrect computation, it is more likely that the model is wrongly specified.
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A high z-score indicates an observation that is further away from the mean. This indicates that either the observation is less probable or that assumptions about the distribution are wrong.
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.
The z-score must be 1.87: the probability cannot have that value!
A z-score of 0 means the value is the mean.
Z Score is (x-mu)/sigma. The Z-Score allows you to go to a standard normal distribution chart and to determine probabilities or numerical values.