Quanto e 45x12 (500-450-550)

(x+7)(x-9)<br><br> Multiply Ponomials <br><br> show work please

Murrr4er [49]

Answer:

x(x-9)+7(x-9)

x²-9x+7x-63

x²-2x-63

7 0

3 years ago

The marketing manager for an automobile manufacturer is interested in determining the proportion of new compact-car owners who w

Serhud [2]

Answer:

$z=\frac{0.395 -0.3}{\sqrt{\frac{0.3(1-0.3)}{200}}}=2.932$

$p_v =2*P(z>2.932)=0.0034$

So the p value obtained was a very low value and using the significance level given $\alpha=0.01$ we have $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of people that they would have purchased the GPS navigation system is significantly different from 0.3

Step-by-step explanation:

Data given and notation

n=200 represent the random sample taken

X=79 represent the number of people that they would have purchased the GPS navigation system

$\hat p=\frac{79}{200}=0.395$ estimated proportion of people that they would have purchased the GPS navigation system

$p_o=0.3$ is the value that we want to test

$\alpha=0.01$ represent the significance level

Confidence=99% or 0.99

z would represent the statistic (variable of interest)

$p_v$ represent the p value (variable of interest)

Concepts and formulas to use

We need to conduct a hypothesis in order to test the claim that the true proportion is 0.3 or no.:

Null hypothesis: $p=0.3$

Alternative hypothesis: $p \neq 0.3$

When we conduct a proportion test we need to use the z statistic, and the is given by:

$z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}$ (1)

The One-Sample Proportion Test is used to assess whether a population proportion $\hat p$ is significantly different from a hypothesized value $p_o$ .

Calculate the statistic

Since we have all the info requires we can replace in formula (1) like this:

$z=\frac{0.395 -0.3}{\sqrt{\frac{0.3(1-0.3)}{200}}}=2.932$

Statistical decision

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.

The significance level provided $\alpha=0.01$ . The next step would be calculate the p value for this test.

Since is a bilateral test the p value would be:

$p_v =2*P(z>2.932)=0.0034$

So the p value obtained was a very low value and using the significance level given $\alpha=0.01$ we have $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of people that they would have purchased the GPS navigation system is significantly different from 0.3

4 0

3 years ago

If f(x)=|3x-4|+2 find f(-10)

Nat2105 [25]

Answer:

$f(-10)=36$

Step-by-step explanation:

$f(x)=|3x-4|+2\\f(-10)=|3(-10)-4|+2\\f(-10)=|-30-4|+2\\f(-10)=|-34|+2\\f(-10)=34+2\\f(-10)=36$

Rgds!

6 0

3 years ago

Use the model to complete the number sentence 1/2

VladimirAG [237]

That is one half also 1/2 if this was not what u where looking for then just tell me

8 0

4 years ago

Theres another answer choice thats four but it got cut out please help pretty easy question

8090 [49]

Answer:

We conclude that:

f(g(3)) = 2

Hence, option B is correct.

Step-by-step explanation:

Given the f(x) table

x 2 3 4 5

f(x) 0 1 2 3

Given the g(x) table

x 1 2 3 4

g(x) 1 2 4 8

We need to determine f(g(3)).

In order to determine f(g(3)), first, we need to determine g(3)

It is clear from the table of g(x),

at x = 3, g(3) = 4

so

f(g(3)) = f(4)

Now, we need to check the value of f(4) at x = 4 using the table f(x)

It is clear from the table of f(x),

at x = 4, f(4) = 2

Thus,

f(g(3)) = f(4) = 2

Therefore, we conclude that:

f(g(3)) = 2

Hence, option B is correct.

3 0

3 years ago