Best to use a histogram i think! z scores can probably be used too however they seem more a method of how to transform outliers in workable scores.
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If the Z-Score corresponds to the standard deviation, then the distribution is "normal", or Gaussian.
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.
There is not enough information to answer your question. To determine a Z-Score, the mean and standard deviation is also required.
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.
Go back to the basic data, estimate the sample mean and the standard error and use these to estimate the Z-score.