Answer:
Step-by-step explanation:
a) For private colleges,
Mean = (52.8 + 30.6 + 43.2 + 45.8 + 45.0 + 37.8 + 33.3 + 50.5 + 44.0 + 42.0)/10 = 42.5
x1 = 42.5 × 1000 = 42500
Standard deviation = √(summation(x - mean)²/n
n = 10
Summation(x - mean)² = (52.8 - 42.5)^2 + (30.6 - 42.5)^2 + (43.2 - 42.5)^2 + (45.8 - 42.5)^2 + (45.0 - 52.5)^2 + (37.8 - 42.5)^2 + (33.3 - 42.5)^2 + (50.5 - 42.5)^2 + (44.0 - 42.5)^2 + (42.0 - 52.5)^2 = 598.56
standard deviation = √(598.56/10 = 7.74
s1 = 7.74 × 1000 = 7740
For public colleges,
Mean = (20.3 + 22.8 + 22.0 + 25.8 + 28.2 + 18.5 + 15.6 + 25.6 + 24.1 + 14.4 28.5 + 21.8)/12 = 22.3
x2 = 22.3 × 1000 = 22300
n2 = 12
Summation(x - mean)² = (20.3 - 22.3)^2 + (22.8 - 22.3)^2 + (22 - 22.3)^2 + (25.8 - 22.3)^2 + (28.2 - 22.3)^2 + (18.5 - 22.3)^2 + (15.6 - 22.3)^2 + (25.6 - 22.3)^2 + (24.1 - 22.3)^2 + (14.4 - 22.3)^2 + (28.5 - 22.3)^2 + (21.8 - 22.3)^2 = 225.96
standard deviation = √(225.96/12 = 4.34
s2 = 4.34 × 1000 = 4340
b) The point estimate is the difference between the sample means
Point estimate = 42500 - 22300 = 20200
The best guess for the difference in population mean annual cost of attending private and public colleges is $20200. The range of the value is determined by the margin of error.
c) Confidence interval = point estimate ± margin of error
Margin of error = z√(s²/n1 + s2²/n2)
Where z is the test score for 95% confidence level from the t distribution table. To find the test score, we would first find degree of freedom, df
df = (n1 - 1) + (n2 - 1) = (10 - 1) + (12 - 1) = 20
From the t distribution table,
z = 2.086
Margin of error = 2.086√(7.74²/10 + 4.34²/12) = 4.84
4.84 × 1000 = 4840
Confidence interval = 20200 ± 4840