Percentage points of the normal distribution ~ statistics
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Percentage points of the normal distribution ~ statistics

[From: ] [author: ] [Date: 11-04-23] [Hit: ]
Why was my first method wrong? I dont see the difference.-Your method is perfectly correct. 3.10 should get you full credit.end of the table are not very accurate since the tail probabilities are very small overa wide range of z.......
I am meant to find the value of a in P(Z
So I looked in the table of normal distribution function for 0.9990 in P(Z
However, the book requires you to do 1-0.9990 = 0.0010 and using the percentage points table, leading to the (correct) answer of 3.0902

Why was my first method wrong? I don't see the difference.

-
Your method is perfectly correct. 3.10 should get you full credit.The readings at the
end of the table are not very accurate since the tail probabilities are very small over
a wide range of z.
I suspect that the percentage table is calculated more accurately.

-
As you perhaps know, the x-axis for the Normal-distribution is either expressed by the mean: the mean +/- 1,2,3 sigma, or: z = (x-my)/sigma. You are using the second x-axis, and then the numbers 1 to 3 (and -1 to -3) are showed on both sides of the y-axis.

How you look up the probabilities depends on the table-structure. Usually, it starts with probability 0,5 at z=0. But then - instead of reading out the probability of 0,999, you can read out the value of (-0,001) at the other side of the z-axis and then get the answer: 1 - table-value.

You have perhaps used to different tables, and the number of significant digits can have been different (x-axis) in these two tables.
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