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adelina 88 [10]
4 years ago
5

What are the zeros of the function f(x)=x^2−5x−24

Mathematics
2 answers:
frozen [14]4 years ago
7 0
8 and -3

Start by factoring the equation:

(x + 3)(x - 8)

Then set each equal to zero and solve for each one. 
Yanka [14]4 years ago
6 0
We need to put this in factored form. I can explain factored form if you want, but for now I’ll just show you the result.
(X-8)(x+3)
We can check if this is the right equation.
X^2 +3x-8x-24
So, we have the factored form and it will be very easy to find the zeros.
(X-8)(x+3)
We need for that to equal zero. Whenever you multiply anything by y zero, you’ll receive zero.
X=8, x=-3
They will satisfy the equation and will get you zero. Let’s check.
8^2-5(8)-24
64-40-24
24-24
0
So 8 works.
-3^2-5(-3)-24
9+15-24
24-24
0
So, the zeros are 8 and -3.
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STALIN [3.7K]

Volume without holes = 3 x 6 x 11 = 198 cubic inches.

Calculate volume of one hole:

3.14 x 0.5^2 x 3 = 2.355 cubic inches

There are 3 holes: 3 x 2.355 = 7.065

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Read 2 more answers
Suppose the function H(t) = 8.5sin(0.017t – 1.35) + 12 models the hours of sunlight for a town in Alaska, where t = 1 is the fir
Vitek1552 [10]

Answer:

  3.5 to 20.5 hours

Step-by-step explanation:

The range of the sine function is -1 to 1, so the range of H will be ...

  -8.5 +12 = 3.5

to

  8.5 +12 = 20.5

The length of the day varies by 17 hours from 3.5 hours to 20.5 hours.

8 0
3 years ago
A manufacturer knows that their items have a normally distributed length, with a mean of 13.1 inches, and standard deviation of
Afina-wow [57]

Answer:

0.73% probability that their mean length is less than 11.1 inches

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation, which is also called standard error s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 13.1, \sigma = 4.1, n = 25, s = \frac{4.1}{\sqrt{25}} = 0.82

What is the probability that their mean length is less than 11.1 inches

This is the pvalue of Z when X = 11.1. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{11.1 - 13.1}{0.82}

Z = -2.44

Z = -2.44 has a pvalue of 0.0073.

0.73% probability that their mean length is less than 11.1 inches

3 0
4 years ago
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