Consider the polynomial 16x2 – 1.

Mathematics

1 answer:

Slav-nsk [51]3 years ago

3 0

9514 1404 393

Answer:

ac = -16
b = 0
-4, 4
(4x -1)(4x +1)

Step-by-step explanation:

a) ac is the product of the leading coefficient (16) and the constant (-1).

ac = (16)(-1) = -16

b) b is the coefficient of x. There is no x term, so ...

b = 0

c) Two factors that add to give zero must be opposites. That is, they must be the square root of the opposite of -16, and the opposite of that.

the two numbers are -4 and 4

d) The factored form for the two numbers p and q just found is ...

ax^2 +bx +c = (ax +p)(ax +q)/a

= (16x -4)(16x +4)/16

= (4x -1)(4x +1) . . . . factored form of 16x^2 -1

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An orange juice producer buys oranges from a large orange grove that has one variety of orange. The amount of juice squeezed fro

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Answer:

The probability is 70% that the sample mean amount of juice will be contained between 4.9168 ounces and 5.0832 ounces.

Step-by-step explanation:

To solve this question, the Normal probability distribution and the Central Limit Theorem are important.

Normal probability distribution

Problems of normally distributed samples can be 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 $\frac{\sigma}{\sqrt{n}}$

In this problem, we have that:

$\mu = 5, \sigma = 0.4, n = 25, s = \frac{0.4}{\sqrt{25}} = 0.08$

The probability is 70% that the sample mean amount of juice will be contained between what two values symmetrically distributed around the population mean?

The lower end of this interval is the value of X when Z has a pvalue of 0.5 - 0.7/2 = 0.15

The upper end of this interval is the value of X when Z has a pvalue of 0.5 + 0.7/2 = 0.85

Lower end

X when Z has a pvalue of 0.15. So X when $Z = -1.04$ .