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3 years ago

A(b-c)=d solve for c

1 answer:

8 0

A(b-c)=d
Ab-Ac=d
-Ab -Ab from both sides
-Ac=d-Ab
divide -A
c=d-Ab over -A and the -A's should cancel so it should be c=db <span />

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Solve the equation a = m - n for the variable n.

jonny [76]

Answer:

n = m - a

Step-by-step explanation:

a = m - n

add n to both sides of the equation

a + n = m - n + n

a + n = m

subtract a from both sides of the equation

a - a + n = m - a

n = m - a

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3 years ago

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What is equavilent to8x-100

Y_Kistochka [10]

Answer:

8^1x-100 is equal

Step-by-step explanation:

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the water level in a swimming pool increased from 4.5 feet to 6 feet what is the percent increase in the water level rounded to

yuradex [85]

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4 years ago

Let f(x)=x^2+x+1.<br> (a) Find f(2) f(x) + f(1).

Harlamova29_29 [7]

Answer:

a. y=7(x+0.5)^2+8.25

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c. the equation simplified is just f

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3 0

3 years ago

According to a recent study of 7335 young people in the US, 30% had been arrested for a crime other than a traffic violation by

victus00 [196]

Answer:

a) Statistic.

b) The population proportion is expected to be between 0.29 and 0.31 with a 94% degree of confidence.

Step-by-step explanation:

a) The proportion of 30% is a statistic, as it is a value that summarizes data only from the sample taken in the study from USA Today. Other samples may yield different proportions.

b) We can use the statistic to estimate a confidence interval for the parameter of the population.

The standard error for the proportion is calculated as:

$\sigma_p=\sqrt{\dfrac{p(1-p)}{N}}=\sqrt{\dfrac{0.3\cdot 0.7}{7335}}=\sqrt{2.83\cdot10^5}= 0.00535$

The margin of error is 0.01. We can use this value to determine the level of confidence that represents.

The formula for the margin of error is:

$E=z\cdot \sigma_p=0.01\\\\z\cdot 0.0535=0.01\\\\z=1.87$

This z-value, according to the the standard normal distribution, corresponds to a confidence interval of 94%.

The interval for this margin of error is:

$p-E\leq \pi \leq p+E\\\\0.30-0.01\leq \pi \leq 0.30+0.01\\\\0.29\leq \pi \leq 0.31$

Then, we can conclude that the population proportion is expected to be between 0.29 and 0.31 with a 94% degree of confidence.

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4 years ago