Answer:
The correct answer is:
Option A: A 10x — 15000 ≥ 50000
Step-by-step explanation:
Given that the total cost of manufacturing by the company is $15000.
Let x be the number of gallons the company sells.
It is also mentioned that the company earns $10 on each gallon.
So the total profit will be the the difference of the selling cost of gallons and manufacturing cost
Mathematically,
Now it is mentioned that the profit should be at least 50000 dollars which means the profit can be minimally 50000 and also can be greater than it so
The number of gallons can be found by solving the obtained inequality.
Hence,
The correct answer is:
Option A: A 10x — 15000 ≥ 50000
Answer:
Each eraser costs $5.00.
Step-by-step explanation:
In the question, it says that John had bought a $5.00 magazine. So, we already know that he used $5.00 for a magazine, and used up exactly $25.00. This must mean that he used $5.00 for each eraser because he used up $20.00 for four erasers. 4x5 = 20.
To get the answer, all you have to do is plug in 1 into the equation.
So, it would be -2(1) - 2 -> -2 -2 -> -4
The answer is -4
Hope this helps!
Answer:
sin Z = 4/5
sin C = 24/25
cos A= 4/5
tan Z = 4/3
Step-by-step explanation:
<h3><u>1</u><u>.</u><u>)</u></h3>
sin Z = O/H
sin Z = 36/45 = 4/5
sin Z = 4/5
<h3>
<u>2</u><u>.</u><u>)</u></h3>
sin C = O/H
sin C = 48/50 = 24/25
sin C = 24/25
<h3>
<u>3</u><u>.</u><u>)</u></h3>
cos A = A/H
cos A = 40/50 = 4/5
cos A= 4/5
<h3>
<u>4</u><u>.</u><u>)</u></h3>
tan Z = O/A
tan Z = 24/18 = 4/3
tan Z = 4/3
<em><u>-TheUnknownScientist</u></em>
<h3>
Answer: False</h3>
Reason:
There is only one Z distribution, which is also known as the standard normal distribution. This distribution has a mean of mu = 0 and a standard deviation of sigma = 1. So unless you consider a family to only have one member, then I'd consider the statement your teacher gave you to be false.
On the other hand, if we were talking about the student T distribution, then this is a family of function curves. The reason being is that the degrees of freedom (df) will change the shape of said curve. The value of df will depend on the sample size n. Recall that df = n-1. As n gets larger, then the T distribution curves will slowly start to look like the Z distribution. For n > 30, the difference is so very minor that it's easier to swap over to the Z distribution even if you don't know sigma.
In other words, there is a family of T distribution curves in which slowly approach to mimicking the Z distribution curve when n is large (usually n > 30).
