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Rom4ik [11]
2 years ago
15

Can anyone please help me with this question? Soon as possible.

Mathematics
1 answer:
olga_2 [115]2 years ago
8 0
I think the answer is y=-2(x-2)^2+6
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Which of the following is a multiple of 5
jok3333 [9.3K]
10 15 20 25 30....etc hope this helps you!!
6 0
3 years ago
Read 2 more answers
You toss a fair coin 10000 times. what are the odds of obtaining more than 5100 tails, approximately?
ella [17]
This can be solved by using the normal approximation to the binomial distribution.
mean = np = 10.000 * 0.5 = 5,000
The standard deviation is given by:
S.D.= \sqrt{npq} = \sqrt{5000\times0.5} =50
z=\frac{5100-5000}{50}=2
The probability of obtaining more than 5100 tails is 0.0228 and the probability of obtaining fewer than 5100 tails is 0.9772.
The odds of obtaining more than 5100 tails is therefore:
0.0228:0.9772 = 1:42.86.

3 0
3 years ago
The equation
Alexxx [7]
Here hope this helps

5 0
3 years ago
In a baseball game, the cubs had 8 runs after losing 3 runs because of a rules violation. But then the umpire took away the 3-ru
fiasKO [112]

Answer:

5

Step-by-step explanation:

Based on the given conditions, formulate:: 8-3

Calculate the sum or difference: 5

3 0
2 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
3 years ago
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