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Tatiana [17]
3 years ago
11

Subscribe to GamingWithRob Please

Mathematics
2 answers:
TiliK225 [7]3 years ago
7 0

answer:

ok then i guess

dalvyx [7]3 years ago
3 0

Answer:

ok i will sure. e e behehsbbdidv

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(1/2)4 evaluate as a fraction in the simplest form
garri49 [273]

1/2*4 IS 2

BECAUSE 2 and 4 can be cancle out 2 and there 2 let.

I hope that is make sense

7 0
3 years ago
A soccer team will sell T-shirts for a fundraiser. The company that makes the T-shirts charges $10 per shirt plus a $20 shipping
FinnZ [79.3K]
a. Write and graph an equation in two variables that represents the total cost of ordering the shirts.
 For this case, the first thing we must do is define variables:
 c = total cost
 x = x number of shirts.
 The equation that adapts to the problem is:
 c (x) = 10x + 20
 Answer:
 c (x) = 10x + 20

 b. Choose an ordered pair that lies on your graph in part (a). Interpret it in the context of the problem.
 
Let's choose the next ordered pair:
 (x, c (x)) = (0, 20)
 We verify that it is in the graph:
 c (20) = 10 (0) + 20
 c (20) = 20 (yes, it belongs to the graph).
 In the context of the problem, this point means that the cost per shipment is $ 20
 Answer:
 (0, 20)
 Cost per shipment is $ 20
3 0
3 years ago
What is the value of x?<br> A<br> 160°<br> 95"<br> A. 359<br> B. 60°<br> C. 155°<br> D. 250
Svetradugi [14.3K]

Answer:

The value of x is 25°.

Here is your solutions too.

4 0
3 years ago
Read 2 more answers
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years o
Alik [6]

Answer:

There is a relationship between the age of a young adult and the type of movie preferred.

Step-by-step explanation:

In this case we need to test whether there is a significance relationship between the age of a young adult and the type of movie preferred.

The hypothesis can be defined as:

<em>H₀</em>: Age of a young adult and movie preference are independent.

<em>Hₐ</em>: Age of a young adult and movie preference are not independent.

The test statistic is given as follows:

\chi^{2}=\sum\limits^{n}_{i=1}{\frac{(O_{i}-E_{i})^{2}}{E_{i}}}

Consider the table below.

The formula to compute the expected frequencies is:

E_{i}=\frac{\text{Row Total}\times \text{Column Total}}{\text{Total}}

The Chi-square test statistic value is:

\chi^{2}=\sum\limits^{n}_{i=1}{\frac{(O_{i}-E_{i})^{2}}{E_{i}}}=2.6013

The significance level of the test is, <em>α</em> = 0.05.

The degrees of freedom of the test is,

df = (r - 1)(c - 1)

   = (3 - 1)(3 - 1)

   = 2 × 2

   = 4

Compute the <em>p</em>-value as follows:

<em>p</em>-value = 0.6266

*Use a Chi square table.

As the <em>p-</em>value is more than the significance level the null hypothesis was failed to be rejected.

Thus, concluding that there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred.

5 0
3 years ago
HELP ASAP The range of which function is (2, infinty)
n200080 [17]

Answer:

D

Step-by-step explanation:

6 0
3 years ago
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