Answer:
x + y = 10,999.5 (rounded up to 11000)
x - y = 3,000.3 (this would be rounded down to 3000)
Step-by-step explanation:
Assume;
Two numbers are x, y
So,
x + y = 11,000
.......eq1
x - y = 3,000
.........eq2
eq1 + eq2
So,
2x =14,000
x = 7,000
So y = 4,000
For rounding number
x = 6,999.9 (rounded up to 7,000)
y = 3,999.6 (rounded up to 4,000)
Sum;
x + y = 10999.5 (rounded up to 11000)
x - y = 3000.3 (this would be rounded down to 3000)
Answer:
Based on the converse of the Pythagorean Theorem, the triangle is not a right triangle, because 
Step-by-step explanation:
The complete question in the attached figure
we know that
If the length sides of a triangle, satisfy the Pythagorean Theorem, then is a right triangle

where
c is the hypotenuse (the greater side)
a and b are the legs
In this problem
The length sides squared of the triangle are equal to the areas of the squares
so


substitute

----> is not true
so
The length sides not satisfy the Pythagorean Theorem
therefore
Based on the converse of the Pythagorean Theorem, the triangle is not a right triangle, because 
It’s 60 dollars Nd 0.6666 is natural answer with runs out of 2030km
Events A and B are independent if the following holds true:
P(A ∩ B) = P(A) * P(B)
where P(A ∩ B) is the probability of A and B, P(A) is the probability of A, and P(B) is the probability of B.
Setting A = "snow" and B = "cold weather", and plugging in the above numbers will give you the answer.
Answer:
a. z = 2.00
Step-by-step explanation:
Hello!
The study variable is "Points per game of a high school team"
The hypothesis is that the average score per game is greater than before, so the parameter to test is the population mean (μ)
The hypothesis is:
H₀: μ ≤ 99
H₁: μ > 99
α: 0.01
There is no information about the variable distribution, I'll apply the Central Limit Theorem and approximate the sample mean (X[bar]) to normal since whether you use a Z or t-test, you need your variable to be at least approximately normal. Considering the sample size (n=36) I'd rather use a Z-test than a t-test.
The statistic value under the null hypothesis is:
Z= X[bar] - μ = 101 - 99 = 2
σ/√n 6/√36
I don't have σ, but since this is an approximation I can use the value of S instead.
I hope it helps!