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Sladkaya [172]
3 years ago
15

Complete the square x^2 - 10x + 15 = 0

Mathematics
1 answer:
kvv77 [185]3 years ago
5 0
X²-10x+15=0
x²-10x=0-15
x²-10x=-15
x(x-10)=-15
x=-15/(x-10)
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Sherri saves nickels and dimes in a coin purse for her daughter. The total value of the coins in the purse is $0.95. The number
forsale [732]
I’m guessing that this is for systems of equations?
n - nickels
d - dimes

These are the equations you start off with.
n = 5d-2
0.95 = 0.10d+0.05n

Substitute the top equation for n into the variable n in the bottom equation.
0.95 = 0.10d+0.05(5d-2)

Solve for d.
0.95 = 0.10d+0.25d-0.10
1.05 = 0.35d
3 = d

Substitute d into the top equation and solve for n.
n = 5(3)-2
n = 15-3
n = 12

There are 3 dimes and 12 nickels in the coin purse! Hope this helped <3

7 0
3 years ago
Read 2 more answers
Suppose the life of a particular brand of calculator battery is approximately normally distributed with a mean of 75 hours and a
shepuryov [24]

Answer:

a) P(X

And we can find this probability using the normal standard table or excel:

P(z

b) P(X>77)=P(\frac{X-\mu}{\sigma}>\frac{77-\mu}{\sigma})=P(Z>\frac{77-75}{10})=P(z>0.2)

And we can find this probability using the complement rule and the normal standard table or excel:

P(z>0.2)=1-P(Z

c) z = \frac{70-75}{\frac{10}{\sqrt{16}}}= -2

z = \frac{80-75}{\frac{10}{\sqrt{16}}}= 2

And we can find this probability with this difference:

P(-2

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the life of a particular brand of a population, and for this case we know the distribution for X is given by:

X \sim N(75,10)  

Where \mu=75 and \sigma=10

Part a

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X

And we can find this probability using the normal standard table or excel:

P(z

Part b

P(X>77)=P(\frac{X-\mu}{\sigma}>\frac{77-\mu}{\sigma})=P(Z>\frac{77-75}{10})=P(z>0.2)

And we can find this probability using the complement rule and the normal standard table or excel:

P(z>0.2)=1-P(Z

Part c

For this case we select a sample size of n =16. and we want this probability:

P(70 < \bar X

We know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we can find the z scores for the limits like this:

z = \frac{70-75}{\frac{10}{\sqrt{16}}}= -2

z = \frac{80-75}{\frac{10}{\sqrt{16}}}= 2

And we can find this probability with this difference:

P(-2

6 0
4 years ago
Find the area of the rhombus
MAXImum [283]
<h3> Solution :-</h3>

Area of rhombus :-

\bf  \star \:  \:  \boxed{ \bf  \dfrac{d_{1}d_{2}}{2} }

\sf \longrightarrow d_{1} = 4 \sqrt{3}  + 4 \sqrt{3} = 8 \sqrt{3}

\sf \longrightarrow d_{2}  = 4 + 4 = 8

Area of rhombus :-

:  \implies \sf  \dfrac{8 \sqrt{3} \times 8 }{2}

:   \implies \sf  8 \sqrt{3}  \times 4

:  \implies \bf 32 \sqrt{3}  \:  {m}^{2}

6 0
3 years ago
Does anybody know the measure of JLM?
WARRIOR [948]

Measure of ∠JLM = m∠60°

6 0
2 years ago
Anser and i'll gige brainly
Vilka [71]

Answer:

b² - 4ac > 0

Step-by-step explanation:

Conditions for the discriminant

• If b² - 4ac > 0 then 2 real and distinct roots

• If b² - 4ac = 0 then 2 real and equal roots

• If b² - 4ac < 0 then no real roots

Here the roots are x = 0 and x = 4

That is 2 real and distinct roots , then

b² - 4ac > 0

7 0
3 years ago
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