① Expand and simplify a) 7(x+ 2) + 4(x+5)

Mathematics

2 answers:

vladimir1956 [14]3 years ago

7 0

Distribute into 7x+14+4x+20
Then combine like terms 11x+34
You are done

Amiraneli [1.4K]3 years ago

5 0

Answer:

11x + 34

Step-by-step explanation:

brackets mean multiplying

so 7x + 14 and 4x + 20

add the like terms together 11x + 34

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Given the functions f(x)=1x−4+3 and g(x)=1x+1+6.

Lubov Fominskaja [6]

The statement that describes the transformation of the graph of function f onto the graph of function g is:

The graph shifts 5 units left and 3 units up.

<h2>Transformations</h2>

The given functions are:

f(x) = (x-4) + 3

g(x) = (x+1) + 6

Comparing the functions f(x) = (x-4) + 3 and g(x) = (x+1) + 6

Difference between f(x) and g(x) on the x-axis = 1 - (-4) = 5

Difference between f(x) and g(x) on the y-axis = 6 - 3 = 3

From the comparison made above, we can conclude that:

The graph of f(x) is shifted to the left by 5 units to form g(x)

The graph of f(x) is shifted up by 3 units to form g(x

Learn more on transformation here: brainly.com/question/10222182

8 0

2 years ago

Lie detectors Refer to Exercise 82. Let Y = the number of people who the lie detector says are telling the truth.

mr_godi [17]

Answer:

a) $P(Y\geq 10) = PX \leq 2) = 0.558$

b) $E(X) = \mu_X = np = 12*0.2 = 2.4$

$\sigma_X = \sqrt{np(1-p)}=\sqrt{12*0.2*(1-0.2)}=1.386$

$E(Y) = \mu_Y = np = 12*0.8 = 9.6$

$\sigma_Y = \sqrt{np(1-p)}=\sqrt{12*0.8*(1-0.8)}=1.386$

For this case the expected value of people lying is 2.4 and the complement is 9.6 and that makes sense since we have a total of 12 poeple.

And the deviation for both variables are the same.

Step-by-step explanation:

Assuming this previous info : "A federal report finds that lie detector tests given to truthful persons have probability about 0.2 of suggesting that the person is deceptive. A company asks 12 job applicants about thefts from previous employers, using a lie detector to assess their truthfulness. Suppose that all 12 answer truthfully. Let X = the number of people who the lie detector says are being deceptive"

For this case the distribution of X is binomial $X \sim N(n=12, p=0.2)And we define the new random variable Y="the number of people who the lie detector says are telling the truth" so as we can see y is the oppose of the random variable X, and the distribution for Y would be given by:[tex] Y \sim Bin (n=12,p=1-0.2=0.8)$

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:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$