Steps | Key Sequence | Screens |
1. Find the inverse normal curve function | Press 2nd then VARS | |
Press 3 (for invNorm) | ||
** This function has three (3) arguments. They are: area, mean, standard deviation. ** | ||
** Area MUST be between 0 and 1. | ||
Example 1: Let mean = 35 and standard deviation = 2 | ||
Case 1: Find the number x such that the proportion of observations that are less than x in a normal distribution is 0.8. In other words, the area to the left of x is 0.8. | invNorm(0.8,35,2) | |
ENTER | ||
Case 2: Find the number x such that 45% of all observations from a normal distribution are greater than x. In other words, the area to the right of x is 0.45 and the area to the left is 0.55. | invNorm(0.55,35,2) | |
ENTER | ||
Example 2: Standard Normal Curve where mean = 0 and standard deviation = 1 | ||
** The standard normal curve uses z, where z = (x – mean)/(standard deviation). | ||
** Rearranging for x: x = mean + z * standard deviation. | ||
** For the standard normal curve, the invNorm function will use ONLY one (1) argument,
area. By default mean = 0 and standard deviation = 1. |
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Case 1: Find the number z such that the area under a normal distribution is 0.3 to the left of z. | invNorm(0.3) | |
ENTER | ||
Case 2: Find the number z such that 5% of all observations from a normal distribution are greater than z. In other words, the area to the right of x is 0.05 and the area to the left is 0.95. | invNorm(0.95) | |
ENTER |