In: Statistics and Probability
A company maintains three offices in a certain region, each staffed by two employees. Information concerning yearly salaries (1000s of dollars) is as follows:
Office | 1 | 1 | 2 | 2 | 3 | 3 |
Employee | 1 | 2 | 3 | 4 | 5 | 6 |
Salary | 36.7 | 40.6 | 37.2 | 40.6 | 32.8 | 36.7 |
(a) Suppose two of these employees are randomly selected from among the six (without replacement). Determine the sampling distribution of the sample mean salary
X.
(Enter your answers for p(x) as fractions.)
x | 34.75 | 36.70 | 36.95 | 38.65 | 40.60 | ||||||
p(x) |
|
|
(b) Suppose one of the three offices is randomly selected. Let
X1 and X2 denote the
salaries of the two employees. Determine the sampling distribution
of
X.
(Enter your answers as fractions.)
x | 34.75 | 38.65 | 38.90 |
p(x) |
(c) How does
E(X)
from parts (a) and (b) compare to the population mean salary μ?
E(X)
from part (a) is ---Select--- greater than less than equal to μ, and
E(X)
from part (b) is ---Select--- greater than less than equal to μ.
a)
there are 6 employees of which 2 need to be chosen , so total
combinations = 6C2=15
Employee1 | Employee2 | salary1 | salary2 | Sample means | P(X) | x̄ * P(X) |
1 | 2 | 36.7 | 40.6 | 38.65 | 1/15 | 2.577 |
1 | 3 | 36.7 | 37.2 | 36.95 | 1/15 | 2.463 |
1 | 4 | 36.7 | 40.6 | 38.65 | 1/15 | 2.577 |
1 | 5 | 36.7 | 32.8 | 34.75 | 1/15 | 2.317 |
1 | 6 | 36.7 | 36.7 | 36.7 | 1/15 | 2.447 |
2 | 3 | 40.6 | 37.2 | 38.9 | 1/15 | 2.593 |
2 | 4 | 40.6 | 40.6 | 40.6 | 1/15 | 2.707 |
2 | 5 | 40.6 | 32.8 | 36.7 | 1/15 | 2.447 |
2 | 6 | 40.6 | 36.7 | 38.65 | 1/15 | 2.577 |
3 | 4 | 37.2 | 40.6 | 38.9 | 1/15 | 2.593 |
3 | 5 | 37.2 | 32.8 | 35 | 1/15 | 2.333 |
3 | 6 | 37.2 | 36.7 | 36.95 | 1/15 | 2.463 |
4 | 5 | 40.6 | 32.8 | 36.7 | 1/15 | 2.447 |
4 | 6 | 40.6 | 36.7 | 38.65 | 1/15 | 2.577 |
5 | 6 | 32.8 | 36.7 | 34.75 | 1/15 | 2.317 |
Total | 561.5 | 37.433 |
x̄ | 34.75 | 35 | 36.7 | 36.95 | 38.65 | 38.9 | 40.6 |
P(X) | 2/15 | 1/15 | 3/15 | 2/15 | 4/15 | 2/15 | 1/15 |
b)
let x1 and x2 be salary of two employees. | |||||
office | x1 | x2 | average salary | P(X) | x̄*P(X) |
1 | 36.7 | 40.6 | 38.65 | 0.333333 | 12.88333 |
2 | 37.2 | 40.6 | 38.9 | 0.333333 | 12.96667 |
3 | 32.8 | 36.7 | 34.75 | 0.333333 | 11.58333 |
Total= | 37.43333 |
each office has equal probability of selection =1/3 =0.333
34.75 | 38.65 | 38.65 |
1/3 | 1/3 | 1/3 |
c)
population mean , µ =Σx/n= 224.6 / 6 = 37.433
E(Xbar) from part a is equal to mu and E(Xbar) from part
b is equal to mu