"<span>-No, because California and Texas also have two of the greatest areas, so they may not have the greatest population densities."
This is correct as the states such as New Jersey may not have as large as a population as Texas and California but, have a significantly less land than those states. Population density refers to people per km squared, which takes both land and population into account.
Hope this helps!
-Benjamin</span>
A. The point estimate of μ1 − μ2 is calculated using the value of x1 - x2, therefore:
μ1 − μ2 = x1 – x2 =
7.82 – 5.99
μ1 − μ2 = 1.83
B. The formula for
confidence interval is given as:
Confidence interval
= (x1 –x2) ± z σ
where z is a value
taken from the standard distribution tables at 99% confidence interval, z =
2.58
and σ is calculated
using the formula:
σ = sqrt [(σ1^2 /
n1) + (σ2^2 / n2)]
σ = sqrt [(2.35^2 /
18) + (3.17^2 / 15)]
σ = 0.988297
Going back to the
confidence interval:
Confidence interval
= 1.83 ± (2.58) (0.988297)
Confidence interval
= 1.83 ± 2.55
Confidence interval
= -0.72, 4.38
Answer:
900-1200
Step-by-step explanation:
mutpliy by 60
