What is the range of the function f(x)=(x+4)²+5

Please help with math

dezoksy [38]

Anwser: The hotels charge for a call is the same for a 20 minute call.

Step-by-step explanation:

Alrighty, same deal as the last problem, set up a equality, it should look like this:

$1+.80x=$2+.75x

Move the variable to the left of the equation:

.80x-.75x=2-1

Simplify

.05x=1

x=20

3 0

3 years ago

H(x) = 3x + 2; Find h(-5)

Setler [38]

Answer:

h(-5) = -13

Step-by-step explanation:

h(x) = 3x + 2

Let x = -5

h(-5) = 3(-5) +2

= -15 +2

= -13

6 0

3 years ago

Read 2 more answers

Factor 8r^6 + 27s^12

Natali5045456 [20]

Answer:

Dear user,

Answer to your query is provided below

Step-by-step explanation:

Attached in image

3 0

3 years ago

What does the model above represent as a decimal?

stellarik [79]

Answer:

A

Step-by-step explanation:

6 out of 1 out of 100 --> 1/6 over 100

5 0

4 years ago

The germination rate is the rate at which plants begin to grow after the seed is planted.

chubhunter [2.5K]

Answer:

$z=\frac{0.467 -0.9}{\sqrt{\frac{0.9(1-0.9)}{15}}}=-5.59$

$p_v =P(z$

So the p value obtained was a very low value and using the significance level given $\alpha=0.05$ we have $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of germinated seeds is significantly lower than 0.9 or 90%

Step-by-step explanation:

Data given and notation

n=15 represent the random sample taken

X=7 represent the number of seeds germinated

$\hat p=\frac{7}{15}=0.467$ estimated proportion of seeds germinated

$p_o=0.9$ is the value that we want to test

$\alpha$ represent the significance level

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 of germinated seeds is less than 0.9 or 90%.:

Null hypothesis: $p\geq 0.9$

Alternative hypothesis: $p < 0.9$

When we conduct a proportion test we need to use the z statisitc, 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:

$z=\frac{0.467 -0.9}{\sqrt{\frac{0.9(1-0.9)}{15}}}=-5.59$

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 assumed is $\alpha=0.05$ . The next step would be calculate the p value for this test.

Since is a left tailed test the p value would be:

$p_v =P(z$

So the p value obtained was a very low value and using the significance level given $\alpha=0.05$ we have $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of germinated seeds is significantly lower than 0.9 or 90%

4 0

3 years ago