Bosco Y. answered 09/29/26
Cornell Student with Statistics I, II, and AP Statistics Experience
A. Hypothesis Test
To determine which airplane model is superior, a two-sample t-test was conducted to compare the mean flight distances of Models A and C.
Hypotheses:
H₀: μA = μC
Hₐ: μA > μC
where μA and μC represent the true mean flight distances of Models A and C, respectively.
Summary Statistics:
Model A:
n = 30
Mean = 639.54 cm
Standard Deviation = 170.50 cm
Model C:
n = 30
Mean = 165.40 cm
Standard Deviation = 50.61 cm
Test Statistic:
t = (639.54 − 165.40) / √[(170.50²/30) + (50.61²/30)]
t ≈ 14.60
The corresponding p-value is less than 0.0001.
Since the p-value is much smaller than α = 0.05, the null hypothesis is rejected.
B. Interpretation in Context
There is sufficient statistical evidence to conclude that Model A flies farther on average than Model C. The mean flight distance for Model A was approximately 639.54 cm, while the mean flight distance for Model C was approximately 165.40 cm. Therefore, Model A is the better airplane model because it consistently achieved greater flight distances.
C. Confidence Interval
A 95% confidence interval for the difference in population means (μA − μC) is:
474.14 ± 64.94
which gives:
(409.20 cm, 539.08 cm)
This means we are 95% confident that Model A flies between 409.20 cm and 539.08 cm farther, on average, than Model C.
The confidence interval supports the conclusion of the hypothesis test because the entire interval is positive and does not include 0. Since 0 is not a plausible value for the true difference in average flight distance, the interval provides strong evidence that Model A outperforms Model C. Both the confidence interval and the hypothesis test support the conclusion that Model A is the superior airplane design.