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Dmitry [639]
3 years ago
5

What is 254 divided by 40

Mathematics
2 answers:
Zigmanuir [339]3 years ago
8 0
The answer is 6.35. Because you put in 254 / 40 and it says 6.35.

tangare [24]3 years ago
5 0
Solutions 

254 divided by 40 also know as 254 ÷ 40 

254 ÷ 40= <span>6 with a remainder of 35 (6.35)</span>
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Barry is training to be a gymnast. He increases the number of push-ups he does each week by following a number pattern. The numb
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no, ann is incorrect. each week is a new 3 pushups so by the 15th week, barry would have done 58 pushups.

Step-by-step explanation:

6 0
4 years ago
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A line intersects the point (-11, 4) and has
alekssr [168]

Answer: Point slope form is y-y1=m(x-x1)

Step-by-step explanation:

Here y1=4

x1=-11

m i.e slope=-2

And there you go.

5 0
3 years ago
It has been estimated that 40% of marriages end in divorce. If you randomly select 9 recently married couples what is the probab
Serga [27]

Answer:

Step-by-step explanation:

Hello!

In this example you are interested to know how many matrimonies and up in divorce.

The study variable is X: number of marriages that ended up in divorce in a sample of nine.

This variable is a discrete variable and a quick check will tell you if it follows the binomial criteria, if it does, then the variable will have binomial distribution:

Binomial criteria:

1. The number of observation of the trial is fixed (n = 9)

2. Each observation in the trial is independent, this means that none of the trials will affect the probability of the next trial.

3. The probability of success in the same from one trial to another (the "success" of the trial is that the matrimony ended up in divorce and it's estimated probability is p=0.40

So X≈ Bi (n;ρ)

You have to calculate the probability that at least one of the marriages end in divorce, this is that "one or more" of the marriages end in divorce, symbolically:

P(X≥1)

This expression includes the probabilities P(X=1), P(X=2), P(X=3), P(X=4), P(X=5), P(X=6), P(X=7), P(X=8), P(X=9).

One way to calculate this is by applying the formula for calculating point probabilities under the binomial distribution P(X)= \frac{n!}{(n-X)!X1}*(p^X)*(q^n-X) nine times and then add them or you can use a table of the binomial distribution. These tables show cumulative probabilities for many distributions, P(X≤x₀)

To reach the probability value using the table you have to do the following:

P(X≥1)= 1 - P(X<1)

One is the max cumulative probability, so you have to subtract from it everything that isn't included in the expression, the only probability that is "left out" from P(X≥1) is P(X=0), in the table you have to look for the probability of P(X≤0)= 0.0101, then you calculate the probability as follow:

P(X≥1)= 1 - P(X<1)= 1 - P(X≤0)= 1 - 0.0101= 0.9899

I hope this helps!

6 0
4 years ago
Peter is making an "X marks the spot" flag for a treasure hunt. The flag is made of a square white flag with sides of 12 centime
zheka24 [161]

Answer:

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The actual question is How many inches of ribbon Peter will need to make the "X".

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The length required, rounded to the nearest centimeter, is 34 cm.

6 0
3 years ago
What belongs in the box marked with the question mark in the proof?
Bas_tet [7]
4x+1=6x-2
4x+3=6
3=2x
3/2=2x/2, because you have to divide 2 from both sides
X=3/2
6 0
3 years ago
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