Question #283003

The 95% confidence limits of mean yarn tenacity based on 100 test samples is 30±1.5.The number of tes samples required to obtain 95% confidence limits of 30±0.5 is..

1
Expert's answer
2021-12-27T17:36:22-0500

The 95% confidence limits of mean yarn tenacity based on 100 test samples is 30±1.5

n = 100

Margin of error (ME) = 1.5

Z value at 95% confidence = 1.96

First, we need to calculate standard deviation using formula of ME.

ME=Z×σnME=Z\times\frac{\sigma}{\sqrt{n}}

1.5=1.96×σ1001.5=1.96\times\frac{\sigma}{\sqrt{100}}

σ=1.5×1001.96=7.65\sigma=\frac{1.5\times\sqrt{100}}{1.96}=7.65


The number of test samples required to obtain 95% confidence limits of 30±0.5 can be calculated using this standard deviation.


n=(Z×σME)2n=(\frac{Z\times \sigma}{ME})^2


n=(1.96×7.650.5)2n=(\frac{1.96\times 7.65}{0.5})^2


n=(30)2=900n=(30)^2=900


This means 900 test samples are required to obtain 95% confidence limits of 30±0.5.





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