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2 years ago

What is the missing constant term in the perfect square that starts with x^2-8xx 2 −8xx, squared, minus, 8, x ?

1 answer:

3 0

Your notation is very confusing.

If you mean to complete the square for x2 - 8x, the answer is 16, i.e. (x - 4)2 = x2 - 8x + 16.

If that is not what you mean, you will need to clarify your notation and re-submit your question.

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You are climbing a mountain by the steepest route at a slope of 10∘ when you come upon a trail branching off at a 45∘ angle from

PtichkaEL [24]

Imagine you're at origin when you saw another trial 45 degrees from your trail
so the correct answer is the answer is arctan(cos(45)tan(10))

7 0

2 years ago

Read 2 more answers

The relation R is shown below as a list of ordered pairs. R = { (1, 4), (1, 3), (-1, 3), (2, 15) } Which ordered pairs prevent t

s344n2d4d5 [400]

Answer:

(1,4) and (1,3)

Step-by-step explanation:

A function may not have two y-values assigned to the same x-value, it may have two x-values assigned to the same y-value

Therefore the order pair (1,4) and (1,3) prevents this relation from being a function.

Each x has only one y-value.

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2 years ago

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Express x% of 4 plus y% of 5 as a percentage of 11

djverab [1.8K]

X% of 4 = x*4/100 = 0.04x

y% of 5 = x*5/100 = 0.05y

x% of 4 + y% of 5 = 0.04x + 0.05y

How you express a number, n, as percentage of 11?: [n/11]*100= 9.10n %

Then make n = 0.04x + 0.05y

9.10n %= 9.10[0.04x + 0.05y] %= (0.3656x + 0.455y)%

.

4 0

2 years ago

In an analysis of healthcare data, ages have been rounded to the nearest multiple of 5 years. The difference between the true ag

Mars2501 [29]

Answer:

The approximate probability that the mean of the rounded ages within 0.25 years of the mean of the true ages is P=0.766.

Step-by-step explanation:

We have a uniform distribution from which we are taking a sample of size n=48. We have to determine the sampling distribution and calculate the probability of getting a sample within 0.25 years of the mean of the true ages.

The mean of the uniform distribution is:

$\mu=\dfrac{Max+Min}{2}=\dfrac{2.5+(-2.5)}{2}=0$

The standard deviation of the uniform distribution is:

$\sigma=\dfrac{Max-Min}{\sqrt{12}}=\dfrac{2.5-(-2.5)}{\sqrt{12}}=\dfrac{5}{3.46}=1.44$

The sampling distribution can be approximated as a normal distribution with the following parameters:

$\mu_s=\mu=0\\\\\sigma_s=\dfrac{\sigma}{\sqrt{n}}=\dfrac{1.44}{\sqrt{48}}=\dfrac{1.44}{6.93}=0.21$

We can now calculate the probability that the sample mean falls within 0.25 from the mean of the true ages using the z-score:

$z=\dfrac{X-\mu}{\sigma}=\dfrac{0.25-0}{0.21}=\dfrac{0.25}{0.21}=1.19\\\\\\P(|X_s-\mu|$

7 0

2 years ago

the speed of a vehicle just before the brakes are applied can be estimated using the formula s= (28.75d)^1/2, where s is the spe

babymother [125]

(28.75*45)^(1/2)

$\sqrt{1293.75}$

= 35.97

7 0

2 years ago