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Suppose we have the following data on the speeds (in mph) of
23 randomly selected cars on Triphammer Road.
29, 29, 24, 34, 34, 34, 34, 32, 36, 28, 31, 31, 30, 27, 34, 29, 37,
36, 38, 29, 21, 31, 26
Make a 95% confidence interval for the mean speed of all cars
on Triphammer Road.

Respuesta :

Answer:

Step-by-step explanation:

To calculate a 95% confidence interval for the mean speed of all cars on Triphammer Road, we can use the following steps:

1. Calculate the sample mean:

\[ \bar{x} = \frac{1}{n} \sum_{i=1}^{n} x_i \]

where \( x_i \) represents each individual speed and \( n \) is the total number of speeds.

2. Calculate the sample standard deviation:

\[ s = \sqrt{ \frac{\sum_{i=1}^{n} (x_i - \bar{x})^2}{n-1} } \]

3. Determine the standard error of the mean:

\[ SE = \frac{s}{\sqrt{n}} \]

4. Find the margin of error at 95% confidence level:

To find the margin of error, we use the t-distribution with degrees of freedom \( n-1 \) and a confidence level of 95%. We can look up the critical t-value in a t-table or use statistical software.

5. Calculate the confidence interval:

\[ \text{Confidence Interval} = \bar{x} \pm \text{Margin of Error} \]

Given the data provided on the speeds of 23 cars on Triphammer Road, we can compute the sample mean, standard deviation, standard error, and ultimately the 95% confidence interval for the mean speed of all cars on Triphammer Road. Remember to adjust the degrees of freedom in the t-distribution calculation based on the sample size.