Answer:
The maximum possible amount that could be awarded under the two-deviation rule is $ 1.883 Million.
Step-by-step explanation:
In order to find the maximum possible amount of the award, the formula is given as
Here
is the mean of the samples and is given as
s is the standard deviation which is given as
Putting values as
Substituting the values in the equation of mean is as
Where as standard deviation is given as
Putting this in the equation of maximum amount gives
So the maximum possible amount that can be awarded in this case is 1883.04 thousand dollars or $ 1.883 Million. This value is less than the previously maximum value which is $3.5 million.
Answer:
A
Step-by-step explanation:
Given that Ben worked 6 hours at x dollars per hour. That is,
Ben earns = 6x
Julie worked 9 hours and earned twice as much as Ben per hour. That is,
Julie earns = 9 × 2x = 18x
Phil worked 16 hours and earned 3 dollars an hour less than Julie
That is,
Phil earns = 16 × ( 2x - 3 )
= 32x - 48
Total wages = 6x + 18x + 32x - 48
Total wages = 56x - 48
Option A is therefore the best option which is the answer to the question.
Related sides the the same ratio so if I have a square with side length 10 and a similar one with side length of 5 the ratio is 1/2 when going from big to small or 2/1 when going small to big. This is true for all sides. This allows you to find missing sides using proportions.
A circle is 360 degrees. When you have 7/10, you would multiply it by 36. This is because in the denominator, 10x36=360. 7x36? 252.
So it would be 252 degrees.
Answer:
The sampling of this study is bias
Step-by-step explanation:
Sampling bias is a bias that is gotten during sampling where some members of the population have a lower representation or probability than others in the sample pool. In this case, only the residents living near a river was sampled, and because they are subjected to relatively the same conditions (living near a river), the result of the study will not be a true representation of every member of the town because the people living far away from the river will most likely have different opinions due to their different environmental exposure than the people living close to the river. The correct thing to have been done for the result to be reliable and accurate will be to sample at random, people in the two both close to and far away from the river, or to sample equal number of people each living close to and far away from the river.
Another example of sampling bias is a study to determine the effect of alcohol on pregnancy in women in America, and only pregnant white women who drink are sampled, leaving out Black or Hispanic women, what ever result gotten in the study may hold true for white women in America, but it may not hold true for every woman in America
