The resting heart rates for 80 women aged 46–55 in a simple random sample are normally distributed, with a mean of 71 beats per minute and a standard deviation of 6 beats per minute. Assuming a 90% confidence level (90% confidence level = z-score of 1. 645), what is the margin of error for the population mean? Remember, the margin of error, ME, can be determined using the formula M E = StartFraction z times s Over StartRoot n EndRoot EndFraction. 0. 66 1. 10 1. 31 1. 73.

Respuesta :

The margin of error for the population mean for the 90% confidence level is 1.10.

What is the margin of error?

The margin of error is a statistic that expresses how much random sampling error there is in a survey's results. The wider the margin of error, the less confident one should be that a poll result reflects the outcome of a population-wide survey.

It is given by the formula:

[tex]MOE_y=Z_y\times \sqrt{\dfrac{\sigma^2}{n} }[/tex]

As the mean is given to us is 71 beats and the standard deviation is 6 beats, therefore, the margin of error for 90% confidence level can be written as,

[tex]MOE_y=Z_y\times \sqrt{\dfrac{\sigma^2}{n} }[/tex]

[tex]MOE_y=1.645\times \sqrt{\dfrac{\ 6^2}{80} }[/tex]

[tex]MOE_y= 1.645\times \sqrt{\dfrac{36}{80} }[/tex]

[tex]MOE_y= 1.10[/tex]

Thus the margin of error for the population mean for the 90% confidence level is 1.10.

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