The value is positive because the raw score of 21 is above the mean value of 17.b) On another day when Eric reach on the job in 12 minutes, we can find the z-score by the following working; The negative value of the z-score represents a value below the mean of 17. c) In Eric’s third trip raw score of 17 is equal to the mean value, therefore we can deduce without any calculations that the value of the z-scores is 0 because anything divided by zero will result in zero.Uses of z-scoresa) Z-score provide the location of a raw score relative to the mean in terms of standard deviations. In Eric’s trip the values of 1.33, -1.67 and 0 give the location of raw score relative to the mean value of 17 in terms of standard deviation e.g. a z-score of 1.33 the location of the raw score of 21 at a distance of 1.33 standard deviations from the mean of 17. b) Z-scores also provide the location of a specific raw value relative to average standard deviation. In Eric’s trip example all z-score values can be compared to the average standard deviation 3 to deduce the location of a raw score relative to average standard deviation of the population. c) In case of normal distribution z-scores can be used to determine the percentile scores. Percentiles can tell the percentage of the population that fall above or below a raw score. . Z-Scores.
Urdan, C., Timothy. (2005). Statistics in Plain English. USA, Lawrance Erlbaum Associates.
Heiman, W., Gray. (2011). Basic Statistics for the Behavioral Sciences. USA, Wadsworth CENGAGE Learning
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