**z-Score**

**For this assignment, use the data you created in your** **W1 Midweek Assignment.**

**Using Microsoft Excel and following the instructions given in your lecture, convert each subject’s age and height into a z-score.**

**Using the z-score of ±1.645 for the 5 percent cutoff and the z-score of ±1.96 for the 2.5 percent in the tail, identify the subject identification (ID) number for subjects who fall at or above the cutoff for the upper 2.5 percent and 5 percent of the scores and those who are at or below the lower 2.5 percent and 5 percent of the scores. Do this by comparing each participant’s z-score with the appropriate critical value (1.645, 1.96, -1.645, -1.96).**

**To fall into the upper tail of 5% (the 95th percentile), a participant’s z-score would need to be equal to or greater than 1.645. To fall into the upper tail of 2.5% (the 97.5th percentile), the z-score would need to be equal to or greater than 1.96. For the tails at the lower end, you would look for z-scores of -1.645 or lower (5%) or -1.96 or lower (2.5%)**

**Using the following table, identify the subject ID numbers in the tails for the appropriate cutoffs in an APA formatted** **Microsoft Word** **document.**

**Age**

**Height**

**Upper Extremes**

**Lower Extremes**

**Upper Extremes**

**Lower Extremes**

**5%**

**2.50%**

**5%**

**2.50%**

**5%**

**2.50%**

**5%**

**2.50%**

**z = 1.645 or higher**

**z = 1.96 or higher**

**z= -1.645 or lower**

**z= -1.96 or lower**

**z = 1.645 or higher**

**z = 1.96 or higher**

**z= -1.645 or lower**

**z= -1.96 or lower**

**Participant IDs for those with z-scores that fall into these extremes go in the boxes below**