Respuesta :
Margin of error = Critical Value × Standard Error
We work out critical value from the information of confidence interval.
We have 95% confidence interval, hence the z-score (that is the critical value) is 1.96 (refer to the picture below)
Standard Error = [tex] \frac{standard deviation}{ \sqrt{sample size} } [/tex]
Standard Error = [tex] \frac{6}{ \sqrt{17} } =1.46[/tex]
Margin of error = 1.96 × 1.46 = 2.87 (rounded to 2 decimal place)
We work out critical value from the information of confidence interval.
We have 95% confidence interval, hence the z-score (that is the critical value) is 1.96 (refer to the picture below)
Standard Error = [tex] \frac{standard deviation}{ \sqrt{sample size} } [/tex]
Standard Error = [tex] \frac{6}{ \sqrt{17} } =1.46[/tex]
Margin of error = 1.96 × 1.46 = 2.87 (rounded to 2 decimal place)

Answer: The margin of error for a 95% confidence interval is 0.48.
Step-by-step explanation:
Since we have given that
N = 600
Mean = 17 hours
Standard deviation = 6 hours
We need to find the margin of error for a 95% confidence interval.
Margin of error is given by
[tex]Error=z\times \dfrac{\sigma}{\sqrt{n}}[/tex]
Here, n = 600, [tex]\sigma=6[/tex]
In 95% confidence interval z = 1.96
So, Margin of error would be
[tex]1.96\times \dfrac{6}{\sqrt{600}}\\\\=0.48[/tex]
Hence, the margin of error for a 95% confidence interval is 0.48.