Question #244941
Suppose we wish to design a study to investigate the effects of loud music on teenagers’ ability
to concentrate. We know from previous studies that the standard deviation of time to complete
this task is 3.4 minutes. How many subjects would be required to ensure with 90% confidence
that the generated estimate is within 1 minute of the true mean time required?
1
Expert's answer
2021-10-04T18:32:17-0400

Let mm denote the margin of error, then mm and it is given by,

m=Zα/2(σ/n)m=Z_{\alpha/2}*(\sigma/\sqrt{n})

In order to determine the number of subjects required, make n subject of the formula,

Therefore,

mn=Zα/2σm*\sqrt{n}=Z_{\alpha/2}*\sigma

n=(Zα/2σ)/m\sqrt{n}=(Z_{\alpha/2}*\sigma)/m

Hence

n=((Zα/2σ)/m)2n=((Z_{\alpha/2}*\sigma)/m)^2

Values given are,

m=1m=1

σ=3.4\sigma=3.4

Zα/2=Z0.1/2=Z0.05=1.645Z_{\alpha/2}=Z_{0.1/2}=Z_{0.05}=1.645

nn therefore is,

n=((1.6453.4)/1)2=(5.593)2=31.28164932subjectsn=((1.645*3.4)/1)^2=(5.593)^2=31.281649\approxeq32subjects

Therefore n=32n=32 subjects would be required to ensure with 90% confidence

that the generated estimate is within 1 minute of the true mean time.



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