Answer:
The 95% confidence interval for the difference in means = (-2.953, -0.647)
Explanation:
The confidence interval for difference in means formula =
μ1 - μ2 ± z × √(σ²1/n1 + σ²2/n2)
Where
σ = standard deviation
n = number of samples
μ = mean
Passenger cars = 1
Pick up trucks = 2
μ1 =5.3 , σ1 =2.2 , n2 = 40
μ1 =7.1, σ1 =3.0 , n2 = 40
z = 95 % confidence interval = 1.96
μ1 - μ2 ± z × √(σ²1/n1 + σ²2/n2)
= 5.3 - 7.1 + 1.96 × √2.2²/40 + 3.0²/40
= -1.8 ± 1.96× √0.121 + 0.225
= -1.8 ± 1.96 ×√0.346
= -1.8 ± 1.96 × 0.5882176468
Confidence interval = -1.8 ± 1.1529065877
= -1.8 - 1.1529065877
= -2.9529065877
≈ -2.953
= -1.8 + 1.1529065877
= -0.6470934123
≈ -0.647
Therefore, the 95% confidence interval for the difference in means = (-2.953, -0.647)