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MariettaO [177]
3 years ago
7

Helppp me plz!!!!!!!!!!!

Mathematics
2 answers:
mariarad [96]3 years ago
7 0
Reed will pay A. $122.50.
zhenek [66]3 years ago
6 0
.20 x 175=35 off of original, so 175-35=$140.  Then 10% of sale price, so:
.10 x 140=14 extra off=

140-14=$126 is the sale price.
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A pound of raisins cost 2.00 and a pound if almonds costs 5.00 six pounds of a trail mix contains more pounds of rasins than alm
Phantasy [73]
I'm sorry couldn't get this can u add what your looking for example-A pound of raisins cost 2.00 and a pound if almonds costs 5.00 six pounds of a trail mix contains more pounds of rasins than almonds HOW MANY AREN'T RASINs
4 0
4 years ago
The product of 45/87 and --9/10 is​
grandymaker [24]

Answer:

0.4655172413793

Step-by-step explanation:

45/87 ×-9/10 i

405÷870

0.4655172413793

7 0
3 years ago
What is 10.04 rounded to nearest tenth?
ivolga24 [154]
The next larger tenth is  10.1  .
The next smaller tenth is  10.0  .

10.04 is nearer to  10.0  than it is to  10.1  .

So the nearest tenth is  10.0  .
5 0
3 years ago
Sam and Rachel both walk dogs in their neighborhood. Sam charges $15 per walk, plus
bija089 [108]

Answer:

Call of duty. warzone=free

Step-by-step explanation:

you go ps store, you search warzone you click download then you wait how many hours. Then you play! And you dont answer this question :) :)

4 0
3 years ago
Suppose N has a geometric distribution with parameter p. Derive a closed-form expression for E(N | N <= k), k = 1,2,... Check
vfiekz [6]

Answer:

P(X= k) = (1-p)^k-1.p

Step-by-step explanation:

Given that the number of trials is

N < = k, the geometric distribution gives the probability that there are k-1 trials that result in failure(F) before the success(S) at the kth trials.

Given p = success,

1 - p = failure

Hence the distribution is described as: Pr ( FFFF.....FS)

Pr(X= k) = (1-p)(1-p)(1-p)....(1-p)p

Pr((X=k) = (1 - p)^ (k-1) .p

Since N<=k

Pr (X =k) = p(1-p)^k-1, k= 1,2,...k

0, elsewhere

If the probability is defined for Y, the number of failure before a success

Pr (Y= k) = p(1-p)^y......k= 0,1,2,3

0, elsewhere.

Given p= 0.2, k= 3,

P(X= 3) =( 0.2) × (1 - 0.2)²

P(X=3) = 0.128

3 0
3 years ago
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