Helen and Stephanie par

Describe the slope of the line<br><br> Find the slope.<br><br> m =

spin [16.1K]

Answer:

m = -3/5

Step-by-step explanation:

Since the line is going downwards towards the right, it is a negative slope.

We can use the points to solve for the slope.

m = -2 - 1 / 2 - (-3)

m = -2 - 1 / 2 + 3

m = -3/5

Therefore, the slope is -3/5.

4 0

3 years ago

Clarissa uses 8.6 pints of blue paint and white paint to paint her bedroom walls. 3/5 of this amount is blue paint, and the rest

xenn [34]

Answer:

3.44 pints of white paint

Step-by-step explanation:

3/5 x 8.6 = 5.16 pints

Clarissa uses 5.16 pints of blue paints

Subtract 5.16 from 8.6 to find out how many pints of white paint did Clarissa use.

8.6 - 5.16 = 3.44 pints of white paint

3 0

3 years ago

3. Which inequalities show a correct relationship between expressions?

igomit [66]

Answer: a and d

Step-by-step explanation:

First of all, we need to make a analysis of each letters:

a. factoring 32 = 2.2.2.2.2 = $2^{5}$

$2^{5}^{3} = 2^{15}$

then,

16 = $2^{4}$

but $2^{4}^{4} =2^{16}$

in conclusion that, this inequality is correct

b. 27 = $3^{3}$

this first situation is equal to $3^{9}$

the second situation is:

81 = $3^{4}$

and $3^{4}^{4} = 3^{16}$

it's a mistake.

c. factoring 9: $9 = 3^{3}$

$3^{9}$ < $3^{5}$

it's wrong.

d. factoring 8 = $2^{3}$

factoring 32 = $2^{5}$

$2^{12}$ > $2^{10}$

This is true.

Finally.. our correct answers is a and d.

3 0

4 years ago

I need help with my math problem #6

guajiro [1.7K]

C) 93
Q has the reverse digits of P
Q is 39 and P is 93
93 - 39 = 54

6 0

3 years ago

A random sample of 40 binomial trials resulted in 14 successes. test the claim that the population proportion of successes does

mylen [45]

Using the z-distribution, since the p-value of the test is of 0.057 > 0.05, there is not enough evidence that the population proportion of successes does not equal 0.50.

<h3>What are the hypotheses tested?</h3>

At the null hypotheses, we test if the proportion of successes equals 0.5, hence:

$H_0: p = 0.5$

At the alternative hypotheses, we test if it does not equal, hence:

$H_1: p \neq 0.5$

<h3>What is the test statistic?</h3>

The test statistic is given by:

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

In which:

$\overline{p}$ is the sample proportion.

p is the proportion tested at the null hypothesis.

n is the sample size.

For this problem, the parameters are given by:

$n = 40, \overline{p} = \frac{14}{40} = 0.35, p = 0.5$

Hence the test statistic is given by:

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

z = (0.35 - 0.5)/(0.5/sqrt(40))

z = -1.9.

<h3>What is the decision?</h3>

Using a z-distribution calculator, considering a two-tailed test, as we are testing if the proportion is different of a value, with z = -1.9, we get that the p-value of the test is of 0.057.

Since the p-value of the test is of 0.057 > 0.05, there is not enough evidence that the population proportion of successes does not equal 0.50.

More can be learned about the z-distribution at brainly.com/question/16313918

#SPJ4

5 0

1 year ago