A car company conducts crash tests of its new airbag system to evaluate its safety. One hundred cars are run into a solid concrete barrier at a speed of 35 miles per hour, and the chest compression of a crash test dummy is measured each time. They hope that the average compression if the test were repeated over and over (which we could think of as the population) would be about 2 inches, corresponding to an injury that would be painful but not fatal. In the hundred tests, the average chest compression in the crash test dummies was 2.1 inches, with an SD of 0.2 inches. (a) State the null and alternative hypotheses in terms of the problem. (b) What kind of box model will we use for this problem? A 0-1 box, or a box with other values on the tickets? (c) State the null and alternative hypotheses in terms of the box model (d) Compute the z test statistic and the p-value, using the sample average as your statistic as you compute z (e) What do you conclude?
A car company conducts crash tests of its new airbag system to evaluate its safety. One
hundred cars are run into a solid concrete barrier at a speed of 35 miles per hour, and
the chest compression of a crash test dummy is measured each time. They hope that
the average compression if the test were repeated over and over (which we could think
of as the population) would be about 2 inches, corresponding to an injury that would be
painful but not fatal. In the hundred tests, the average chest compression in the crash
test dummies was 2.1 inches, with an SD of 0.2 inches.
(a) State the null and alternative hypotheses in terms of the problem.
(b) What kind of box model will we use for this problem? A 0-1 box, or a box with other
values on the tickets?
(c) State the null and alternative hypotheses in terms of the box model
(d) Compute the z test statistic and the p-value, using the sample average as your
statistic as you compute z
(e) What do you conclude?
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There is no answer for part b nor part c? Is there a reason why? Can you answer part b or c
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