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Oliga [24]
3 years ago
9

Leah has 20 kittens. She wants to send them to

Mathematics
2 answers:
zimovet [89]3 years ago
8 0

Answer:

4

Step-by-step explanation:

Can i have brainliest?

mash [69]3 years ago
3 0
The answer would be 4
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Write the equation of the line which has the given slope "m" and whivh passes through the given point...
VladimirAG [237]

equation of the line which has the given slope "m" and whivh passes through the given point...

a.(2,10) and m= -4

b.(4,-4) and m=3/2

c.(0,0) and m=3/5

7 0
3 years ago
Read 2 more answers
Henry can write 5 1/4 pages of his novel in 3 hours how may pages does he write per hour
balandron [24]

Answer:

1 3/4

Step-by-step explanation:

5 1/4 / 3 is equal to 1 and 3/4

5 0
3 years ago
Read 2 more answers
John haf 99 more stickers than Sally. Sally then gave John 36 more stickers. How many more stickers would John have than Sally i
densk [106]
Hi,

John haves 99 stickers. If Sally gave him 36 more that means john haves 99 + 36 = 135 more stickers than Sally.

Hope this helps.
r3t40
5 0
3 years ago
Two more than 4 times the cube of a number is 34.
icang [17]

Answer:

2

Step-by-step explanation:

4x^3 + 2 = 34

4x^3 = 32

x^3 = 8

x=2

4 0
3 years ago
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
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