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2 years ago

Someone please help me with this question I need the answer plsss

Mathematics

2 answers:

Hitman42 [59]2 years ago

6 0

6 plz brainpower!!! I did the test

kow [346]2 years ago

5 0

Answer:

Step-by-step explanation:

The slope is: $\frac{y_{2} -y_{1} }{x_{2} -x_{1} }$ . In this case, for the numerator you get 30. For the denominator you get 5. Divide 30/5 to get 6 as your final slope.

Hope it helps!

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Free points to y'all. 1+1+1*0

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I think it’s probably 12

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3 years ago

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Five year old weighs 75 decagrams how does he weigh in centigrams

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75000.00 centigram (cg - cgm)

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3 years ago

1. The Alabama state flag is white and has two diagonal red stripes. If the m<1 = 135°, what is

MaRussiya [10]

Using the supplementary angles theorem, it is found that the measure of the second angle is of m<2 = 45º.

<h3>What are supplementary angles?</h3>

Two angles are supplementary when the <u>sum of their measures is of 180º</u>.

The Alabama state flag has <u>two lines opposite by the same vertex</u>, hence two angles that are sided are supplementary, hence:

m<1 + m<2 = 180º.

135º + m<2 = 180º.

m<2 = 45º.

The measure of the second angle is of m<2 = 45º.

More can be learned about supplementary angles at brainly.com/question/12919120

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1 year ago

In a sample of 70 stores of a certain company, 62 violated a scanner accuracy standard. It has been demonstrated that the condi

uysha [10]

Answer:

We need at least 243 stores.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of $\pi$ , and a confidence level of $1-\alpha$ , we have the following confidence interval of proportions.

$\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}$

In which

z is the zscore that has a pvalue of $1 - \frac{\alpha}{2}$ .

The margin of error of the interval is:

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

For this problem, we have that:

$n = 70, p = \frac{62}{70} = 0.886$

95% confidence level

So $\alpha = 0.05$ , z is the value of Z that has a pvalue of $1 - \frac{0.05}{2} = 0.975$ , so $Z = 1.96$ .

Determine the number of stores that must be sampled in order to estimate the true proportion to within 0.04 with 95% confidence using the large-sample method.

We need at least n stores.

n is found when M = 0.04. So

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

$0.04 = 1.96\sqrt{\frac{0.886*0.114}}{n}}$