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Oliga [24]
4 years ago
7

Can anyone help me please?

Mathematics
1 answer:
TiliK225 [7]4 years ago
4 0
I hope this helps you

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If x = the number of days in a week, then what number is x equal<br> to?
FinnZ [79.3K]

Answer:

x=7

Step-by-step explanation:

because ther is 7 days in a week

8 0
4 years ago
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Which fractions are equivalent to the fraction below check all that apply 12/21 ?
Leviafan [203]
B & C I believe, not too sure about the “B” but ik C for sure
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3 years ago
(11x + 2y) - (5x – y)
omeli [17]

Answer:

the answer is 6x+3y

Step-by-step explanation:

\mathrm{Remove\:parentheses}:\\=11x+2y-\left(5x-y\right)\\\\-(5x-y): -5x+y\\=11x+2y-5x+y\\Simplify:\\11x+2y-5x+y: 6x+3y\\\\=6x+3y

hope this helps :)

Try using Symbolab, I use it all the time it gives the correct answer and it gives good explanations.

5 0
3 years ago
Chyra redeemed 175 shares of stock she owned in the fund shown below. Name of Fund NAV Offer Price CAH Group $15.83 $16.27 What
spin [16.1K]

Answer:

Option b $2,770.25

Step-by-step explanation

Chyra owned shares of stock, details are :

Name of Fund - CAH Group

NAV - $15.83

Offer Price - $16.27

Chyra redeemed stock = 175 shares

As we know shares can be redeemed on NAV price.

Chyra's proceeds = 175 × 15.83 = $2,770.25

Chyra's proceeds were $2,770.25.

4 0
4 years ago
Fill in the blanks below to make a true statement. In a binomial experiment with n trials and probability of success p, if np (1
Sergeu [11.5K]

Answer:

\mu_{x}=np

\sigma^2_{X}=np(1-p)

Step-by-step explanation:

∵ When x is a random variable having distribution B(n, p), then for sufficiently large value of n, the following random variable has a standard normal distribution,

\frac{x-\mu}{\sigma}\sim N(0,1)

Where,

\mu=np

\sigma^2=np(1-p)

Here the variable X has a binomial distribution,

Such that, np (1 - p) ≥ 10 ⇒ n is sufficiently large.

Where, n is the total numbers of trials, p is success in each trials,

So, the mean of variable X is,

\mu_{X} = np

And, variance of variable X is,

\sigma^2{X}=np(1-p)

3 0
3 years ago
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