Question

In a random sample of ten cars, each car was tested for nitrogen- oxide emissions (in grams per mile) and the results are listed below.

0.06, 0.11, 0.16, 0.15, 0.14, 0.08, 0.15, 0.12, 0.09, 0.1

a. Construct a 95% confidence interval for the mean amount of nitrogen-oxide emissions in all cars.

b. Interpret your confidence interval in context of the problem.

Answer #1

Each car in a sample of seven cars was tested for
nitrogen-oxide emissions (in grams per mile), and the following
results were obtained. 0.08, 0.11, 0.16, 0.13, 0.12, 0.08,
0.13 a. Assuming that this sample is representative of cars in
use, construct a 95% confidence interval estimate of the mean
amount of nitrogen-oxide emissions for all cars.

In a sample of seven cars, each car was tested for
nitrogen-oxide emissions (in grams per mile) and the following
results were obtained: 0.17, 0.13, 0.09, 0.18 ,0.06, 0.14,
0.09 . Assuming that this sample is representative of the cars in
use, construct a 98% confidence interval estimate of the mean
amount of nitrogen-oxide emissions for all cars. If the EPA
requires that nitrogen-oxide emissions be less than 0.165 g
divided by mi, can we safely conclude that this requirement...

Each car in a sample of seven cars was tested for
nitrogen-oxide emissions (in grams per mile), and the following
results were obtained.
0.050.05,
0.110.11,
0.170.17,
0.150.15,
0.140.14,
0.070.07,
0.150.15
a. Assuming that this sample is representative of cars in use,
construct a 95% confidence interval estimate of the mean amount
of nitrogen-oxide emissions for all cars.
(Round to the nearest thousandth as needed.)

Carbon emissions are being tested for 2 brands of cars. 53 cars
of brand A emitted an average of 435 grams per mile with a standard
deviation of 6.8 grams per mile. 45 cars of brand B emitted an
average 430 grams per mile with a standard deviation of 8.6 grams
per mile.
a) Find the 95% confidence interval of the difference between
emissions of the 2 brands
b) Can you conclude brand A has higher emissions at 1% significance...

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