Answer:
Consider the following explanations
Explanation:
a. The whole argument is based on the controlling of different factors such as age, education and occupation among males and females. Now, this is very subjective how they have controlled occupation. For e.g. – Which all occupation they have considered for as stressful job, which all jobs they have considered as physical tiring jobs. Working in a refinery may be physical tiring job but then working in IT Company can also be tiring.
Therefore since there are lot of factors at play apart the one considered to calculate ratio’s we can say that these differential percentage points can always be more than or less than of what presented in question.
b. The same logic has to be applied to (b) as well. When we say that discrimination account for less than 8 percent of differential we implied to say that occupation nature may have more than 12 percent of differential. Now, if you use above logic and applied from occupation point of view.
Andrea won the Miss Illinois beauty pageant the year she graduated from college. Knowing this, the amount of money she will earn over the course of her adult lifetime is most likely to be MORE THAN that of her peers.
Since she has already won a beauty pageant, it is absolutely clear that she will ear more money than her peers. She will be a unique student among her peers. She might be offered modelling or ad films because of her victory.
Answer:
Q2. B
Because a management is basically Base of separation of powers where all organs get work to do
Q3. A
Q4. B
Answer:
$0.013
0.010724
Explanation:
Given that :
Mean, m = 36500
Standard deviation, s = 5000
Refund of $1 per 100 mile short of 30,000 miles
A.) Expected cost of the promotion :
P(X < 30,000)
Using the Zscore relation :
Zscore = (x - m) / s
Zscore = (30000 - 36500) / 5000
= - 6500 / 5000
= - 1.3
100 miles = $1
1.3 / 100 = $0.013
b. What is the probability that Grear will refund more than $50 for a tire?
100 miles = $1
$50 = (100 * 50) = 5000 miles
Hence, more than $50 means x < (30000 - 5000) = x < 25000 miles
P(x < 25000) :
(25000 - 36500) / 5000
-11500 / 5000
= - 2.3
P(z < - 2.3) = 0.010724 (Z probability calculator)
