The answers are:
x= -5
y= -1
This is how I solve my equations.......
SORRY 4 REALLY BAD CAMERA QUALITY........
HAVE A GR8 WEEKEND! ;-)
Answer:
X = √1252 = 2√313 ≈ 35.384
Step-by-step explanation:
Every number has a square root. If the number is not a perfect square, then that square root is irrational. (If the number is negative or complex, the square root is complex.)
Your scientific calculator can tell you what the approximate decimal value of the square root of 1252 is.
You will recognize that it is an even number, and that it is divisible by 4. This means the square root can be simplified a little bit.
![X=\sqrt{1252}=\sqrt{2^2\cdot 313}=\sqrt{2^2}\sqrt{313}\\\\X=2\sqrt{313}](https://tex.z-dn.net/?f=X%3D%5Csqrt%7B1252%7D%3D%5Csqrt%7B2%5E2%5Ccdot%20313%7D%3D%5Csqrt%7B2%5E2%7D%5Csqrt%7B313%7D%5C%5C%5C%5CX%3D2%5Csqrt%7B313%7D)
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<em>Comment on your numbers</em>
The numbers 24 and 26 suggest that perhaps X has a different value. The triple (5, 12, 13) is a fairly common Pythagorean triple, so we might expect you to be seeing the numbers (10, 24, 26), which are double those values. In the formula c² = a² + b², that would make 26 = c.
What is always true is that the sum of the squares of the sides is equal to the square of the hypotenuse. The designations of a, b, c don't always correspond to sides and hypotenuse in that order. In any given problem, they may be mixed up. Check the diagram.
Answer:
According to the picture you have AD AND BC
Step-by-step explanation:
Answer: In random sampling, the whole population should have an equal chance of being chosen.
Step-by-step explanation:
In a simple random sample, every member of the population has an equal chance of being selected.
Your sampling frame should include the whole population. To conduct this type of sampling, you can use tools like random number generators or other techniques that are based entirely on chance.
Biased sample
A sample is biased if individuals or groups from the population are not represented in the sample.
In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others.
Affects
It affects the internal validity of an analysis by leading to inaccurate estimation of relationships between variables. It also can affect the external validity of an analysis because the results from a biased sample may not generalize to the population.