If the population parameter is $400, with a standard deviation of $100. What percentage of your potential sample statistics from the population of size 1,000 will fall between a value of $393.68 and $406.32?
We have,
Upper limit of interval = 406.32
Margin of error = 406.32 - 400 = 6.32
Now, Margin of error = Zalpha/2 * ( SD / n0.5 )
6.32 = Zalpha/2 * ( 100 / 10000.5 )
Zalpha/2 = 2
Using standard normal tables we find the percentage corresponding to 2
alpha / 2 = 0.02283
Alpha = 0.04566
Percentage of your potential sample statistics from the population of size 1,000 will fall between a value of $393.68 and $406.32 = 1 - Alpha = 1 - 0.04566 = 0.9543 = 95.43 % = 95 % ( Approximately)
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