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Doss [256]
3 years ago
8

Write an absolute value equation that represents these heights 10 and 15

Mathematics
1 answer:
djverab [1.8K]3 years ago
6 0

Answer:

An equation for the absolute value that represents the midpoint of 10 and 15 would be (10 + 15)/2 = 12.5

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Solve the equation for y (Y-3)^2=4y-12
Jet001 [13]
<span>(Y-3)^2 = 4y -12 <=> Y^2 - 6Y + 9 = 4y - 12 <=> 4y = Y^2 - 6Y + 21 <=> y = (Y^2 - 6Y + 21)/4. Solving the equation for y means that we have to express y relative to the other quantities in the equation.</span>
8 0
3 years ago
Y + 1 1/6 = 7 5/6 what is Y​
AfilCa [17]

Answer:

6\frac{2}{3}

Step-by-step explanation:

y + 1\frac{1}{6} = 7\frac{5}{6}

y + \frac{7}{6} = \frac{47}{6}

y = 40/6 = 20/3 = 6\frac{2}{3}

3 0
3 years ago
Six out of the 12 members of the school choir are boys. In simplest form, what fraction of the choir is boys?
zubka84 [21]

Answer:

1/2

Step-by-step explanation:

3 0
2 years ago
What is 1 1/4 + 3 5/8 = when its reduced to lowest term.
nikdorinn [45]

Answer:

4 7/8 or 4.875

Step-by-step explanation:

1 1/4 + 3 5/8 = 4 7/8 or 4.875

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5 0
3 years ago
Read 2 more answers
For a binomial process, the probability of success is 40 percent and the number of trials is 5. Find the standard deviation.
Yakvenalex [24]

Answer:

Sd(X) =\sqrt{1.2}=1.095

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Solution to the problem

Let X the random variable of interest, on this case we now that:

X \sim Binom(n=5, p=0.4)

The probability mass function for the Binomial distribution is given as:

P(X)=(nCx)(p)^x (1-p)^{n-x}

Where (nCx) means combinatory and it's given by this formula:

nCx=\frac{n!}{(n-x)! x!}

The mean for the binomial distribution is given by:

E(X) =np=5*0.4=2

And the variance is given by:

Var(X) = np(1-p) =5*0.4*(1-0.4)=1.2

And the deviation is just the square root of the variance so we got:

Sd(X) =\sqrt{1.2}=1.095

7 0
3 years ago
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