In: Statistics and Probability
A hunter claims that the average deer is more than 200 pounds. To test his claim, a random sample of 20 deer were weighed. The data are listed here. Do these data allow us to infer at the 5% significance level that the hunter’s claim is true? 160 230 180 410 220 180 230 190 220 150 180 350 160 150 170 190 230 150 160 260
A hunter claims that the average deer is more than 200 pounds.
The null and alternative hypotheses are,
H0 : μ = 200 pounds
Ha : μ > 200 pounds
sample size (n) = 20
Using Excel we get, sample mean = 208.5 and
sample standard deviation (s) = 67.6115
Test statistic is,
=> Test statistic = t = 0.562
Degrees of freedom = 20 - 1 = 19
t-critical value at significance level of 0.05 with 19 degrees of freedom is, tcrit = 1.729
Since, test statistic = 0.562 < 1.729, we fail to reject the null hypothesis.
Conclusion : There is not sufficient evidence to support the claim that the average deer is more than 200 pounds.