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pav-90 [236]
3 years ago
14

How maby solutions does this have 8 + 2 (x - 6 ) = -2 +2x - 2​

Mathematics
1 answer:
LekaFEV [45]3 years ago
3 0

Answer:

This has infinite solutions.

Step-by-step explanation:

<u>Key skills needed are: One variable equations, Algebra, Adding/Subtracting Like Terms </u>

1) We first start with the equation: 8 + 2 (x - 6 ) = -2 +2x - 2​

2) We first need to use distribution property for the parentheses.

We need to distribute the 2 to the x and the -6.

3) This would be 8 + 2x - 12 = -2 +2x - 2

4) The next thing to do is combine like terms.

Like terms are terms with the same variable, or no variable at all. <em>8 and 6 would be like terms</em>, and <em>2x and 4x would be like terms</em>. 2x^2 and 4x would not be like terms as one has x^2 and the other has only x.

3) Now you know what like terms are, you can implement this into the problem --> Combine the 8 and 12 on the left side  + Combine the -2 and -2 on the right side ----> 2x-4 = 2x-4

4) Since both sides have the <u>same exact thing (both sides have 2x-4)</u> this equation has infinite solutions.

<em>Hope you understood and have a nice day!! :D</em>

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What is the missing constant term in the perfect square that starts with x 2 − 16 x
OlgaM077 [116]

Explanation:

Divide the negative 16 by 2= -8

Then square -8

So the missing constant is 64

The perfect square would be (x-8)^2

7 0
4 years ago
A CBS News/New York Times survey found that 97% of Americans believe that texting while driving should be outlawed (CBS News web
Murrr4er [49]

Answer:

a) P(X\geq 8)=0.0317+0.228+0.737=0.9972

b) P(X>95) =1-P(X

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: P(A)+P(A') =1

Part a

We want this probability:

P(X\leq 12)

P(X\geq 8)=P(X=8)+P(X=9)+P(X=10)

P(X=8)=(10C8)(0.97)^8 (1-0.97)^{10-8}=0.03174  

P(X=9)=(10C9)(0.97)^9 (1-0.97)^{10-9}=0.2287  

P(X=10)=(10C10)(0.97)^{10} (1-0.97)^{10-10}=0.7374  

P(X\geq 8)=0.0317+0.228+0.737=0.9972

Part b

We need to check if we can use the normal approximation , the conditions are:

np=100*0.97=97>10 and n(1-p)=100*(1-0.97)=3

On this case the second condition is not satisfied, but the problem says that we can use it. So then if we apply the normal approximation to the binomial distribution in our case:

X \sim N(\mu=97,\sigma=1.706)

We can use the z score formula given by:

z=\frac{x-\mu}{\sigma}  

And we want this probability:

P(X>95) = P(Z>\frac{95-97}{1.706})= P(Z>-1.17)

And we can use the complment rule and we got:

P(X>95) =1-P(X

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