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Marat540 [252]
2 years ago
10

A purse originally cost $45.99. This week, it is on sale for 25% off.

Mathematics
2 answers:
sertanlavr [38]2 years ago
8 0

Answer: A

Step-by-step explanation:

Svet_ta [14]2 years ago
4 0
If you take 45.99 and minus 25% you would get 11.50 so your answer is A
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Given: circle k(O), m∠A=(x+45)°, m KE =(x+20)°, m EW =(3x)° Find: m KW . HELP ASAP WILL GIVE BRAINLIEST!
egoroff_w [7]

Answer:

<em>160°</em>

<em />

Step-by-step explanation:

We can use the central angle theorem for this. It says that an angle inscribed in a circle (on the circumference) measured half of the arc it intercepts (by 2 points on the circumference of the circle).

<em>that would mean that Angle KAW is </em><em>half </em><em>of measure of Arc KW.</em> Thus we can write:

m∠A = 0.5 (arc KE + arc EW)

x+45 =0.5 (x+20+3x)

x+45 = 0.5(4x+20)

x+45 = 2x + 10

45 - 10 = 2x - x

Thus, x = 35

<em>Since Arc KW = Arc KE + Arc EW and x = 35, we can say:</em>

<em>Arc KW = x + 20 + 3x = 35 + 20 + 3(35) = 160°</em>

6 0
3 years ago
What is the mean of the data without the outlier included?
AlladinOne [14]
I think the mean with outliers excluded are called trimmean.
6 0
2 years ago
The volume of the prism is 234 cubic units. What is the height of the prism? 3 units 4 units 6 units 8 units
mojhsa [17]

Answer:

8

Step-by-step explanation:

5 0
2 years ago
Read 2 more answers
The formula for the eres of a triangle is A=2/1bh what is h equal to in terms of a and b
Kisachek [45]
Actually the formula for the area of a triangle is A = 1/2bh.

First step: multiply both sides by 2, to get rid of the 1/2.

2A = bh

Now divide both sides by b.

2A/b = h or h = 2A/b
3 0
3 years ago
Suppose u1, u2, ..., un are independent random variables and for every i = 1, ..., n, ui has a uniform distribution over [0, 1].
sattari [20]
Z=U_{(1)}=\min\{U_1,\ldots,U_n\}

has CDF

F_Z(z)=1-(1-F_{U_i}(z))^n

where F_{U_i}(u_i) is the CDF of U_i. Since U_i are iid. with the standard uniform distribution, we have

F_{U_i}(u_i)=\begin{cases}0&\text{for }u_i

and so

F_Z(z)=1-(1-F_{U_i}(z))^n=\begin{cases}0&\text{for }z

Differentiate the CDF with respect to z to obtain the PDF:

f_Z(z)=\dfrac{\mathrm dF_Z(z)}{\mathrm dz}=\begin{cases}n(1-z)^{n-1}&\text{for }0

i.e. Z has a Beta distribution \beta(1,n).
3 0
2 years ago
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