RESEARCH METHODOLOGY

Detailed explanation-1: -z-score is a measure of how close the given data point is to the mean of the values given with the standard deviation. If the z-score is less than-2 or greater than 2, then the data is unusual. Therefore, a data value is considered unusual if its z-score is less than minus 2 or greater than 2.

Detailed explanation-2: -As a general rule, z-scores lower than-1.96 or higher than 1.96 are considered unusual and interesting.

Detailed explanation-3: -If a data value has a z-score of 2, that tells us that this data value is 2 standard deviations larger than the mean. A negative z-score means the data value is smaller than the mean. If a data value has a z-score of –3.1, then this data value is 3.1 standard deviations smaller than the mean.

Detailed explanation-4: -Consider a score to be unusual if its z-score is less than-2.00 and greater than 2.00. Round the z-score to the nearest tenth, if necessary.