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In Exercises 9鈥16, assume that each sample is a simple random sample obtained from a population with a normal distribution.

Highway Speeds Listed below are speeds (mi/h) measured from southbound traffic onI-280 near Cupertino, California (based on data from Sig Alert). This simple random sample was obtained at 3:30 PM on a weekday. Use the sample data to construct a 95% confidence interval estimate of the population standard deviation. Does the confidence interval describe the standard deviation for all times during the week?

62 61 61 57 61 54 59 58 59 69 60 67

Short Answer

Expert verified

The 95% confidence interval estimate of the standard deviation of the population from which the sample was obtained is2.9mi/h<<6.9mi/h.

Step by step solution

01

Given information

The sample number of observations is n=12.

The level of confidence is 95%.

02

Compute the critical values

The degrees of freedom are computed as follows:

df=n-1=12-1=11

The level of confidence is 95%,which implies the level of significance is 0.05.

Using the Chi-square table, the critical values at 0.05 level of significance and 11 degrees of freedom are role="math" localid="1648112099073" L2=3.8157and R2=21.92.

03

Compute the mean and standard deviation

The confidence interval for the standard deviation is given as follows:

(n-1)s2R2<<(n-1)s2L2

Let x represents the sample observations.

The mean value is computed as follows:

x=xn=62+61+61+57+...+60+6712=60.667

The standard deviation is computed as follows:

s=x-x2n-1=62-60.6672+61-60.6672+61-60.6672+...+67-60.667212-1=4.075

04

Construct the confidence interval

The 95% confidence interval estimate of the standard deviation of the population from which the sample was obtained is computed as follows:

(n-1)s2R2<<(n-1)s2L212-14.075221.92<<12-14.07523.81572.887<<6.9192.9<<6.9

Therefore, the 95% confidence interval estimate of the standard deviation of the population from which the sample was obtained is 2.9mi/h<<6.9mi/h.

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Replacement

Why does the bootstrap method require sampling with replacement? What would happen if we used the methods of this section but sampled without replacement?

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