In: Statistics and Probability
A recent study shows that 83% of teenagers have used cell phones while driving. In Oct. 2010, California enacted a law that forbids cell phone use by drivers under the age of 18. A policy analyst would like to test whether the law has lowered the proportion of drivers under the age of 18 who use a cell phone. In a random sample of 80 young drivers, 62 of them said that they used cell phones while driving. Test the policy maker's hypothesis at a significant level of 10%. (Round your steps to 4 decimal places, round the z test statistic to 2 decimal places)
Answer :
We have given :
n = sample size = 80
x = 62 of them said that they used cell phones while driving
phat = sample proportion = x / n = 62 / 80 = 0.775
p = population proportion = 83 %
## Hypothesis test for claimed :
A policy analyst would like to test whether the law has lowered the proportion of drivers under the age of 18 who use a cell phone.
## Step 1 ) To test :
Ho : p = 0.83 Vs H1 : p < 0.83
( it is left tailed test )
## Step 2 ) Test Statistics :
z = ( phat - p ) / SQRT( p * (1-p) / n)
z = ( 0.775 - 0.83 ) / SQRT ( (0.83 * 0.17 ) / 80 )
z = ( - 0 .055 ) / 0.04199 = - 1 . 3096166 ie
= - 1.3096
## Step 3 ) α = level of significance value = 10 % =
0.10
## Step 4 ) p value = P [ z < - 1.3096 ] ( using statistical table )
= 0.0952
## Step 5) z critical value = - 1.28 ( from statistical table )
## Step 6) Decision :
We reject Ho if p value is less than α value using p value approach here p value is less than α value we
reject Ho at given level of significance .
## Step 7 ) Conclusion :
There is sufficient evidence to conclude that the law has lowered the proportion
of drivers under the age of 18 who use a cell phone