Answer: the number of small boxes shipped is 14 and the number of large boxes shipped is 12.
Step-by-step explanation:
Let x represent the number of small boxes shipped and
Let y represent the number of large boxes shipped.
A total of 26 boxes of paper were shipped. This means that
x + y = 26
The volume of each small box is 7 cubic feet and the volume of each large box is 13 cubic feet. The combined volume of small and large boxes shipped is
7x + 13y = 254 - - - - - - - - - - - - - - - -1
Substituting x = 26 - y into equation 1, it becomes
7(26 - y) + 13y = 254
182 - 7y + 13y = 254
- 7y + 13y = 254 - 182
6y = 72
y = 72/6 = 12
x = 26 - y = 26 - 12
x = 14
Answer:
It is a little bit trivial:
As we know:
Energy sink: is anything that uses energy.
Energy source: is anything that produces energy.
How the caol deposits can be energy sinks? well, you want to extract the coal from those deposits, and to do it, you need to "use energy" (the type of energy can depend on the extraction method, for example, if you use a pickaxe to extract the coal, you are using mechanical energy)
These coals are potential energy sources because coal is an energy source, potential means that, given some circumstances, something can transform into other things.
So potential energy source in this situation means that those coal deposits can be potential energy when we extract the coal and use it as an energy source.
I don’t understand this but:
The mean is the average of all the numbers combined
the median is the number centered directly in the middle with the same number of numbers on both sides of the number in the middle
The mode is how many times a number appears
E=Z*sqrt (p(1-p)/N), where E= error margin, p=proportion, N=sample size
Katrina's margin error at 85% confidence interval: E=1.96*sqrt (p(1-p)/100) = 0.196 sqrt (1(1-p))
Mathew's margin error at 99% confidence interval: E= 2.58*sqrt (p(1-p)/400) = 0.129 sqrt (p(1-p))
Since both obtained same estimate of proportion (that is, value of p), it can be seen that Mathew's estimate will have a small error (That is, 0.129 is smaller than 0.196). This can be attributed to larger sample size although a wider confidence (99%) interval was considered.
They are both decimals.
But 0.04 > 0.004.
