A random sample of 20 dirt bikes have a mean fuel capacity of 1.91 gallons with a standard deviation of 0.74 gallons. At the 10% level of significance, do the data provide sufficient evidence to conclude that the mean fuel tank capacity of all dirt bikes is 2 gallons? Assume that the population of fuel capacity is normally distributed.
(use the critical value approach and the P-value approach-show calculations).
Since the sample size is 20<30 hence here t-statistic is applicable here, so,
The hypotheses are:
level of significance is 10% and the two-tailed test is applicable here
Rejection region:
Reject Ho if |Tobs|>t0.05,19, where Degree of Freedom=n-1=20-1=19
Test statistic:
The test statistic is calculated as
P-value:
P value associated with the T observed value is
0.5<P-value<0.5
Conclusion:
Since |Tobs|<t0.05,19 and P-value >0.10 hence we fail to reject the null hypothesis and conclude that there is not enough evidence to support that the mean differs from 2.
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