Police recorded the average speed of cars driving on a busy street by a school. For a sample of 36 ​speeds, it was determined that the average amount over the speed limit for the 36 speeds was 13.2 mph with a standard deviation of 8 mph. The 90​% confidence interval estimate for this sample is 10.95 mph to 15.45 mph. ​
a) What is the margin of error for this​ problem? ​
b) What size sample is needed to reduce the margin of error to no more than plus or minus1​?

Respuesta :

Answer:

a) [tex]\pm 2.2527[/tex]

b) n = 169                            

Step-by-step explanation:

We are given the following information:

Sample mean, [tex]\bar{x}[/tex] = 13.2 mp

Sample size, n = 36

Alpha, α = 0.10

Sample standard deviation, s = 8 mph

90% Confidence interval:  (10.95, 15.45)

a)

[tex]\text{Margin of error}} = \text{Critical value}\times \text{Standard error of the statistic}\\ = t_{critical}\times \displaystyle\frac{s}{\sqrt{n}}[/tex]

[tex]t_{critical}\text{ at degree of freedom 35 and}~\alpha_{0.10} = \pm 1.689572[/tex]

Putting the values, we get,

[tex]\text{Margin of error} = t_{critical} \times \displaystyle\frac{s}{\sqrt{n}}\\\\= \pm 1.689572\times \frac{8}{\sqrt{36}} = \pm 2.2527[/tex]

b) [tex]\text{Margin of error} = \pm 1[/tex]

[tex]t_{critical} \times \displaystyle\frac{s}{\sqrt{n}}\\\\\Rightarrow \pm 1.689572\times \frac{8}{\sqrt{n}} = \pm 1\\\\\Rightarrow \sqrt{n} = \frac{\pm 1.689572\times 8}{ \pm 1} = 13.5165 \approx 13\\\\\Rightarrow \bold{n = 169}[/tex]