D. In order for a country's population to be able to replace itself over time, its total fertility rate needs to be above what is known as replacement fertility. This is the fertility rate at which women give birth to enough babies to sustain population levels. Most of the time, this is set at 2.1 children per woman. The replacement rate can be higher in underdeveloped countries due to maternal mortality and child mortality. According to the table, China's fertility rate is at 1.8, which is below replacement fertility. This means that the population of China would not be able to replace itself over time.
E. China's population statistics are unusual for an economy that is still in the process of industrializing. This is because underdeveloped countries tend to have higher fertility rates, due to low levels of education, lack of family planning or high mother and child mortality. Therefore, we would normally expect China to have a higher fertility rate, as it is not a completely industrialized country yet.
If Sagan scored 1200 divide 980 divide by 100 =3 Andrea =27 so I think that Andrea has the most then sagan 3×9=27
You would change escuchas to escuchandos
Answer:
<em>The probability that more than 3.75 gallons are used for any wash cycle is 0.8944 or 89.44%</em>
Explanation:
<u>Normal Distribution</u>
Some probabilistic events are modeled by using the so-called bell curve or normal distribution
where
is the mean and
is the standar deviation. The cummulative values for the normal distribution are usually given as 'left tail' of the sum of all values less than certain maximum value. In other words, the value of
is given by tables or any digital means because the cannot be directly computed by formulas. We used the Excel's formula called NORM.DIST(x,mean,standard_dev,cumulative).
The study case of the question provides the following data

And we are required to compute
. Since the Excel formula gives us the left-tail value, we use the negation of that value to find our desired probability, that is:

We now find the value of NORM.DIST(3.75,4,0.2,TRUE)=0.1056. Thus

Thus the probability that more than 3.75 gallons are used for any wash cycle is 0.8944 or 89.44%