Pierce O. answered 07/30/14
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Hi Sheily,
Assuming the data are normally distributed, we proceed as follows:
Say Y% of the data are less than or equal to 200, and Z% are less than or equal to 100. Then, the percentage of the data between 100 and 200 would simply be Y%-Z%. Here is how to find those percentages:
To find the percentage of the data less than or equal to 100, we must first find a z-score pertaining to 100. The z-score is defined as:
z = (x - mean)/standard deviation
Here, x = 100, the man = 150, and the standard deviation is 25. Then,
z100 = (100 -150) / 25
= -50/25
= -2
We must also find the z score pertaining to 200:
z200 = (200 - 150) / 25
= 50/25
= 2
So, referring to a standard "z table", we look up z200 and z100. The z table gives 0.9772 for z200 = 2, and 0.0228 for z100 = -2. These values are the percentage of data less than or equal to 200 and 100, respectively. So, the percentage of data that lies between 100 and 200 is simply 0.9772 - 0.0228 = 0.9544 or 95.44%.