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It depends entirely on the variance (or standard error).
For a one-sided test there is a 1 in 200 chance (0.5%) of getting a result which is at least as extreme.
The z-score is used to convert a variable with a Gaussian [Normal] distribution with mean m and standard error s to a variable with a standard normal distribution. Since the latter is tabulated, the probability of an outcome as extreme or more compared to the one observed is easily obtained.
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. It's the past tense of the verb to score.