first thing we need to do is factorise because we can't calculate infinity/infinity
and we are left with 1^infinity this is an euler function
an euler function looks like this
Pascal's triangle up to the 5th iteration is

This tells us

so the second term in the expansion is

the awnser to your problem would be 3m to the 9th power because 21m divided by 7m = 3m and then add the powers together so its 3m to the 9th power
Answer: The answers are in the photo. (They are color-coded.)
Step-by-step explanation:
A monarchy, democracy, and communism are different ways to run a government.
A monarchy is usually ruled by someone of royalty, like a king or queen. Typically, they inherit all the power and get to make all the decisions, whether their people like it or not.
In a democracy, the people have many liberties and rights. They get to vote for candidates that represent them that could get elected as a president, minister, mayor, etc. Those elected have to listen to what their people want.
In communism, the government gets to make all the decisions whether it benefits the people or not. This is runned by a single-party, meaning no other parties are allowed to be developed or run.
Answer: 0.03855
Step-by-step explanation:
Given :A population of skiers has a distribution of weights with mean 190 pounds and standard deviation 40 pounds.
Its maximum safe load is 10000 pounds.
Let X denotes the weight of 50 people.
As per given ,
Population mean weight of 50 people =
Standard deviation of 50 people 
Then , the probability its maximum safe load will be exceeded =
![P(X>10000)=P(\dfrac{X-\mu}{\sigma}>\dfrac{10000-9500}{282.84})\\\\=P(z>1.7671-8)\\\\=1-P(z\leq1.7678)\ \ \ \ [\because\ P(Z>z)=P(Z\leq z)]\\\\=1-0.96145\ \ \ [\text{ By p-value of table}]\\\\=0.03855](https://tex.z-dn.net/?f=P%28X%3E10000%29%3DP%28%5Cdfrac%7BX-%5Cmu%7D%7B%5Csigma%7D%3E%5Cdfrac%7B10000-9500%7D%7B282.84%7D%29%5C%5C%5C%5C%3DP%28z%3E1.7671-8%29%5C%5C%5C%5C%3D1-P%28z%5Cleq1.7678%29%5C%20%5C%20%5C%20%5C%20%5B%5Cbecause%5C%20P%28Z%3Ez%29%3DP%28Z%5Cleq%20z%29%5D%5C%5C%5C%5C%3D1-0.96145%5C%20%5C%20%5C%20%5B%5Ctext%7B%20By%20p-value%20of%20table%7D%5D%5C%5C%5C%5C%3D0.03855)
Thus , the probability its maximum safe load will be exceeded = 0.03855