Work Shown
Factor by grouping
x^2 + 2x - xy - 2y
(x^2 + 2x) + (-xy - 2y)
x(x + 2) -y(x + 2)
(x - y)(x + 2)
The FOIL rule can be used to verify the answer is correct.
The idea of factor by grouping is to pair up the terms and factor each sub-group. Then we factor out the overall GCF, which is (x+2) in this case.
Answer:78
Step-by-step explanation:
[True]
or
[False]
Answer:
false
Step-by-step explanation:
because I say
Answer:
10.82 cm
Step-by-step explanation:
Answer:
Step-by-step explanation:
Given: The linear equation .
To find: The solution of the linear equation.
Solution: The given linear equation is:
Rewriting the like terms, we get
Solving the above equation, we have
⇒
⇒
⇒
which is the required solution to the linear equation.
the answer is k=0.5 hope it helps
b) false
ii. In a uniform probability distribution, P(x) is constant between the distribution's minimum and maximum values.
a) true
b) false
iii. The uniform probability distribution's shape is a rectangle
a) true
b) false
Answer: I. True
II. True
III. True
Step-by-step explanation:
Uniform probability distributions, this are probability distributions which have equally likely outcomes. There are two known types of uniform distributions:
1. discrete
2. continuous.
In the first type of distribution, each outcome is discrete. In a continuous distribution, outcomes are continuous this means they are usually infinite.
In a uniform probability distribution, both the mean and standard deviation can be derived from the minimum and maximum values, P(x) remains constant, and the shape of the distribution is rectangular. All statements are true.
The answer to your questions:
i. For any uniform probability distribution, the mean and standard deviation can indeed be computed by knowing the maximum and minimum values of the random variable. So, this is true. The mean is the average of the maximum and minimum, and the standard deviation can be calculated from the range (max-min).
ii. In a uniform probability distribution, P(x) is indeed constant between the distribution's minimum and maximum values. This means that every value has the same likelihood of occurring, which is what makes it 'uniform'. So, this is true.
iii. The uniform probability distribution's shape is indeed a rectangle. This is because all outcomes are equally likely, resulting in a graph that is flat, or rectangular-shaped. Hence, this is also true.
#SPJ6
Length: 5x-4
Width: 9x-3
If you could show me how you got the complete answer I would really appreciate it.