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 mc014-1.jpg.

Respuesta :

ME = 1.10.

Explanation:
The margin of error, ME, is given by the formula z*(
σ/n).

Since we want a 90% confidence interval, z=1.645.

σ=6, and n=80, giving us ME=1.645*(6/80). This comes out to 1.10.

Answer:

The margin of error is [tex]1.103[/tex]

Step-by-step explanation:

The margin of error represents the maximum expected difference between the true parameter and the estimated parameter.

Mathematically, it is calculated as,

[tex]=z\cdot \dfrac{\sigma}{\sqrt{n}}[/tex]

where,

z = z score of the confidence interval,

σ = standard deviation,

n = sample size.

Putting the values,

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

[tex]=1.103[/tex]