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goldenfox [79]
2 years ago
15

መመሪያ 5 ፡- ለሚከተሉት ቁጥሮች ትንሹ የጋራ ብዜታቸውን ፈልጉ፡፡ ሀ. 20 እና 16 ሊ 34 እና 60 ሐ 48 20 እና 8​

Mathematics
1 answer:
strojnjashka [21]2 years ago
7 0

what is this, i don't get it

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If the difference of a number and four is doubled the result is 1/4 less than the number. find the number
sukhopar [10]
The formula is  (2)(n-4) = n-1/4

Mult both sides by 4: 

                         8n - 32 = 4n -1, or 4n = 31, or n=31/4.

If this is not what you expected, please ensure that you have copied down the original problem correctly.  What do you mean by "1/4 less?"

Let's try    (2)(n-4) = 1n-(1/4)n = (3/4)n.  Then,

2n-8 = (3/4)n, or (5/4)n = 8.  Mult. both sides by (4/5), we get:

n = (5/4)(8) = 10.  Is that what you were hoping for?

8 0
3 years ago
...............2+2-2+2+2-4+2
kirill115 [55]

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8 0
3 years ago
Read 2 more answers
A game is played with a spinner on a circle, like the minute hand on a clock. The circle is marked evenly from 0 to 100, so, for
zheka24 [161]

Answer:

The probability is 1/2

Step-by-step explanation:

The time a person is given corresponds to a uniform distribution with values between 0 and 100. The mean of this distribution is 0+100/2 = 50 and the variance is (100-0)²/12 = 833.3.

When we take 100 players we are taking 100 independent samples from this same random variable. The mean sample, lets call it X, has equal mean but the variance is equal to the variance divided by the length of the sample, hence it is 833.3/100 = 8.333.

As a consecuence of the Central Limit Theorem, the mean sample (taken from independant identically distributed random variables) has distribution Normal with parameters μ = 50, σ= 8.333. We take the standarization of X, calling it W, whose distribution is Normal Standard, in other words

W = \frac{X - \mu}{\sigma} = \frac{X - 50}{8.333} \simeq N(0,1)

The values of the cummulative distribution of the Standard Normal distribution, lets denote it \phi , are tabulated and they can be found in the attached file, We want to know when X is above 50, we can solve that by using the standarization

P(X > 50) = P(\frac{X-50}{8.33} > \frac{50-50}{8.33}) = P(W > 0) = \phi(0) = 1/2

Download pdf
8 0
3 years ago
HELP???
mr Goodwill [35]
Need to take 25 mg times 18% then times it by 4 then times it again by .01

3 0
3 years ago
Which algebraic expression represents the phrase “the quotient of negative eight and the sum of a number and three”?
morpeh [17]

Answer:

The answer is A. \frac{-8}{g+3}

Step-by-step explanation:

8 0
3 years ago
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