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Section 7.2 The Standard Normal Distribution Objective: Find the area under the standard normal curve; find Z-scores for a given area. Properties of the Standard Normal Distribution: Standard Normal Distribution: =0 =1 -1 0 1 Values are converted to z scores The mean of the original distribution is always zero, in standard units. The standard deviation is 1. The area under the curve is 1. An x value in the original distribution that is above the mean has a positive z score. An x value below the mean has a negative z value. 28 Copyright (C) 2004 Houghton Mifflin Company. All rights reserved. Find the Area under the Standard Normal Curve To find the area under the standard normal curve, first draw a standard normal curve and shade the area that is to be found, then follow the calculator directions below. Using the TI-83/84 for Finding Areas under the Standard Normal Curve: Press 2nd DISTR 2:normalcdf( lowerbound, upperbound, 0, 1) ENTER * If there is no lowerbound, use E99 If there is no upperbound, use E99 To find the area of the left z0: 2:normalcdf E 99, UB , 0, 1 To find the area of the right z0: 2:normalcdf LB , E 99, 0, 1 To find the area between z0 and z1: 2:normalcdf LB , UB , 0, 1 1. Determine the area under the standard normal curve in each of the following (round to four decimal places): a. To the left of Z = 0.55 b. To the right of Z = 2.23 c. Between Z = 3.03 and Z = 1.98 __________ __________ __________ 7.2 - 2 Finding a Z-Score from a Specified Area to the Left Using the TI-83/84 to Find Z-Scores Corresponding to an Area: Press 2nd DISTR 3: invNorm (area left, 0, 1) ENTER To find a Z-Score from a specified area to the right, you must first determine the area left 1 area right area to the left then use invNorm on calculator: To find the Z-Score from an area in the middle, we use the fact that the standard normal curve is symmetric about its mean: area left 1 middle area , then use invNorm to find z 2 Work #1 - 4 The notation z is the Z-score such that the area under the standard normal curve to the right of z is . Work #5 Remember, the area under a normal curve can be interpreted as a probability. The following inequalities are equivalent for the area under the standard normal curve: and , and Work #6