Traffic speed: The mean speed for a sample of
36
cars at a certain intersection was
25.84
kilometers per hour with a standard deviation of
2.34
kilometers per hour, and the mean speed for a sample of
138
motorcycles was
38.85
kilometers per hour with a standard deviation of
3.84
kilometers per hour. Construct a
99
%
confidence interval for the difference between the mean speeds of motorcycles and cars at this intersection. Let
μ1
denote the mean speed of motorcycles and round the answers to at least two decimal places.
A
99 % confidence interval for the difference between the mean speeds, in kilometers per hour, of motorcycles and cars at this intersection is<<−μ1μ2 . |
Motorcycles | Cars | |
sample mean x = | 38.850 | 25.840 |
std deviation s= | 3.840 | 2.340 |
sample size n= | 138 | 36 |
Point estimate =x1-x2= | 13.010 | |
std error =√(S21/n1+S22/n2)= | 0.5089 |
Point estimate of differnce =x1-x2 = | 13.010 | ||
for 99 % CI & 35 df value of t= | 2.724 | from excel: t.inv(0.995,35) | |
margin of error E=t*std error = | 1.386 | ||
lower bound=mean difference-E = | 11.6238 | ||
Upper bound=mean differnce +E = | 14.3962 | ||
from above 99% confidence interval for population mean =(11.62 <µ1-µ2<14.40 ) |
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