In a recent publication, it was reported that the average highway gas mileage of tested models of a new car was 33.2 mpg and approximately normally distributed. A consumer group conducts its own tests on a simple random sample of 17 cars of this model and finds that the mean gas mileage for their vehicles is 31.5 mpg with a standard deviation of 3.5 mpg. Perform a test at the level to determine if these data support the contention that the true mean gas mileage of this model of car is different from the published value.
Ho: M=33.2 Ha: M<33.2
part b: If a simple random sample of 100 cars is selected, what values of the sample mean x would represent sufficient evidence to reject the null hypothesis at significance level =.05
part c: If the actual population average gas mileage is 32.8 mpg, determine the probability that the null hypothesis will be rejected if a simple random sample of 100 cars is selected
part d: If the sample size were greater than 100 cars, what would happen to the probability in part c? explain your reasoning
given that
sample size=n=17
sample mean =m=31.5
Sample SD=S=3.5
we have to test that
a)
test statistics is given by
t have DF=n-1=17-1=16
P Value =P(t<-2.00)=0.03
since P value is less than level of significance (0.05) hence we reject H0
b)
Here n=100
so we will use Z test
now for alpha =0.05
we reject H0 if sample mean < critical value
critical value is given by
P(Z<critical value)=0.05
from Z table
P(Z<-1.645)=0.05 hence
critical value =-1.645
now
we reject H0 if m<32.62
c)
now
d)
since
as "n" increase then value
will become less negative hence probability will increase.
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