From different tests, average material strength = 70 N/mm^2, and SD=8 N/mm^2. Follows normal distribution. What’s the minimum number of tests required to make a 95% confidence interval on the expected material strength of width <7 N/mm^2 (i.e. 10% of the average measured strength 70 N/mm^2).
It is given that
Average material strength=70 N/mm^2
Standard Deviation=8 N/mm^2
We have to find the minimum number of tests required to make a 95% confidence interval on the expected material strength of width <7 N/mm^2
Applying the below formula for finding the minimum number of tests
Where S.D=standard deviation
Margin of error=7
Value of Z at 95% Confidence interval=1.96
Let us find value of N
margin of error, "E," does not exceed a specified value
Minimum number of test required will be 385
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