In: Math
Many freeways have service (or logo) signs that give information on attractions, camping, lodging, food, and gas services prior to off-ramps. These signs typically do not provide information on distances. An article reported that in one investigation, six sites along interstate highways where service signs are posted were selected. For each site, crash data was obtained for a three-year period before distance information was added to the service signs and for a one-year period afterward. The number of crashes per year before and after the sign changes were as follows.
Before: | 15 | 23 | 65 | 121 | 66 | 65 |
After: | 16 | 21 | 43 | 83 | 79 | 74 |
a)The article included the statement "A paired t test
was performed to determine whether there was any change in the mean
number of crashes before and after the addition of distance
information on the signs." Carry out such a test. [Note:
The relevant normal probability plot shows a substantial linear
pattern.]
State and test the appropriate hypotheses. (Use
α = 0.05.)
Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.)
t | = | |
P-value | = |
b)If a seventh site were to be randomly selected among locations bearing service signs, between what values would you predict the difference in number of crashes to lie? (Use a 95% prediction interval. Round your answers to two decimal places.)
t =0.81
p value =0.455
b)
std error=Se = | SD*√(1+1/n) = | 21.218 |
therefore confidence interval= | sample mean -/+ t*std error | |
margin of errror =t*std error= | 54.55 | |
lower confidence limit = | -48.05 | |
upper confidence limit = | 61.05 |
95% prediction interval =-48.05 ,61.05