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Luba_88 [7]
3 years ago
13

MAKE SURE TO INCLUDE ALL WORK AND MAKE SURE IT MAKES SENSE

Mathematics
1 answer:
Radda [10]3 years ago
3 0
<span>Identify the parts of the expression:
-7x+5

*Coefficient: -7
*Constant: 5
* # of terms: 2</span>
You might be interested in
Use PEMDAS to simplify the expression.<br> 7 715-221<br> 2<br> + 10 - (5 x 23)
Bogdan [553]

Answer:

5398

Step-by-step explanation:

7715-2212+10-(5x23)

7715-2212+10-115

5503+10-115

5513-115

5398

3 0
3 years ago
What kind of questions should you ask during an interview
alexdok [17]

Answer:

depends to who ur talking to  

Step-by-step explanation:

have fun in your interview

6 0
3 years ago
Pls help, I don’t understand how to do this
MAVERICK [17]

Answer:

5 parts are shaded and 4 parts are white so:

There are 9 parts all together.

We can then form ratio's of the white areas and the shaded areas:

White Area Ratio =

\frac{4}{9}

Shaded Area Ratio =

\frac{5}{9}

Let the area of sqaure be equated to x, which means let the entire area of the square equal to x:

x = Area of whole square

Now we can form an equation :

\frac{5}{9} x = 165

So now we just need to solve for x:

x = \frac{165}{ \frac{5}{9} }

x = 297

The area of the square is:

297 {cm}^{2}

4 0
3 years ago
Read 2 more answers
√50, √8, whats the area of the triangle no picture
Bas_tet [7]

Answer:

Area  = 10

Step-by-step explanation:

(\sqrt{50}×\sqrt{8})  ÷ 2 = 10

6 0
3 years ago
A group of researchers wants to know whether men are more likely than women to contract a novel coronavirus. They surveyed two r
olasank [31]

Answer:

Test statistic Z= 0.13008 < 1.96 at 0.10 level of significance

null hypothesis is accepted

There is no difference proportion of positive tests among men is different from the proportion of positive tests among women

Step-by-step explanation:

<em>Step(I)</em>:-

Given surveyed two random samples of 390 men and 360 women who were tested

first sample proportion

                    p_{1} = \frac{360}{390} = 0.9230

second sample proportion

                  p_{2} = \frac{47}{52} = 0.9038

Step(ii):-

Null hypothesis : H₀ : There is no difference  proportion of positive tests among men is different from the proportion of positive tests among women

Alternative Hypothesis:-

There is difference between proportion of positive tests among men is different from the proportion of positive tests among women

 

Z = \frac{p_{1}- p_{2} }{\sqrt{PQ(\frac{1}{n_{1} }+\frac{1}{n_{2} }  } }

where

          P = \frac{n_{1}p_{1} +n_{2}  p_{2} }{n_{1}+n_{2}  }

         P =  0.920

Z= \frac{0.9230-0.9038}{\sqrt{0.920 X0.08(\frac{1}{390}+\frac{1}{52}  } )}

Test statistic Z =  0.13008

Level of significance = 0.10

The critical value Z₀.₁₀ = 1.645

Test statistic Z=0.13008 < 1.645 at 0.1 level of significance

Null hypothesis is accepted

There is no difference proportion of positive tests among men is different from the proportion of positive tests among women







7 0
3 years ago
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