In: Statistics and Probability
Every road has one at some point - construction zones that have much lower speed limits. To see if drivers obey these lower speed limits, a police officer uses a radar gun to measure the speed (in miles per hours, or mph) of a random sample of 10 drivers in a 25 mph construction zone. Here are the data: 27; 33; 32; 21; 30; 30; 29; 25; 27; 34. Is there convincing evidence that at the α=0.01 significance level that the average speed of drivers in this construction zone is greater than the posted speed limit?
Solution:
x | x2 |
27 | 729 |
33 | 1089 |
32 | 1024 |
21 | 441 |
30 | 900 |
30 | 900 |
29 | 841 |
25 | 625 |
27 | 729 |
34 | 1156 |
∑x=288 | ∑x2=8434 |
Mean ˉx=∑xn
=27+33+32+21+30+30+29+25+27+34/10
=288/10
=28.8
Sample Standard deviation S=√∑x2-(∑x)2nn-1
=√8434-(288)210/9
=√8434-8294.4/9
=√139.69
=√15.5111
=3.9384
This is the right tailed test .
The null and alternative hypothesis is ,
H0 : = 25
Ha : >25
Test statistic = t
= ( - ) / S / n
= (28.8 -25 ) / 3.94 / 10
= 3.050
Test statistic = t = 3.050
P-value =0.0069
= 0.01
P-value <
0.0069 < 0.01
Reject the null hypothesis .
There is sufficient evidence to suggest that