Question

(h) Suppose we sample a new city whose particulate is 13 ppm. If reasonable, create a 95% interval for the predicted rate of childhood asthma in this city. If not reasonable, explain why.

Answer 1

To create a 95% interval for the predicted rate of childhood asthma in a new city, we would need data on the correlation between particulate matter (PM) levels and asthma rates in different cities.

Step-by-step explanation:

To create a 95% interval for the predicted rate of childhood asthma in a new city, we need to have data on the relationship between particulate matter (PM) and childhood asthma. The information provided about PM and its impact on asthma is relevant but does not provide the necessary data to calculate the interval. We would need data on the correlation between PM levels and asthma rates in different cities to make predictions about the rate of childhood asthma in a new city.

Answer 2

Explanation below

Step-by-step explanation:

First, it seems you are trying to get the 95% confidence interval (not just interval) for the predicted rate of Childhood Asthma in the city.

This city's particulate is 13 ppm.

The answer is "not reasonable".

Why?

This is because no data is given on the children in the city. 13 ppm is the value for the city's particulate; it is not the mean value for the predicted rate of childhood asthma in the city. If this mean value were available, the 95% confidence interval would be created around this mean.