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Marta_Voda [28]
3 years ago
8

If (X + 8) is a factor of f(x), which of the following must be true?

Mathematics
1 answer:
True [87]3 years ago
5 0

Answer:

Correct option: Third one

Step-by-step explanation:

Let's analyse each sentence:

"Both x = -8 and x = 8 are roots of f(x)"

False, we can't affirm that x = 8 is a root of f(x) with the information given.

"Neither x = -8 nor x = 8 is a root of f(x)"

False, because x = -8 is a root of f(x), because the factor (x + 8) would be zero, and it is multiplying the rest of the function, so the final value would be zero.

"f(-8) = 0"

True, because x = -8 is a root, and the factor x + 8 will be zero and will multiply the other factors of f(x)

"f(8) = 0"

False, because x = 8 is not a root of f(x)

So the correct option is the third one

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Find the five arithmetic means between -18 and 36
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Yeah it really be like that sometimes, you gotta try girl
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The body temperatures of adults are normally distributed with a mean of 98.6degrees° F and a standard deviation of 0.60degrees°
Schach [20]

Answer:

97.72% probability that their mean body temperature is greater than 98.4degrees° F.

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 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, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 98.6, \sigma = 0.6, n = 36, s = \frac{0.6}{\sqrt{36}} = 0.1

If 36 adults are randomly​ selected, find the probability that their mean body temperature is greater than 98.4degrees° F.

This is 1 subtracted by the pvalue of Z when X = 98.4. So

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

By the Central Limit Theorem

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

Z = \frac{98.4 - 98.6}{0.1}

Z = -2

Z = -2 has a pvalue of 0.0228

1 - 0.0228 = 0.9772

97.72% probability that their mean body temperature is greater than 98.4degrees° F.

6 0
3 years ago
What number is 24% of 80?
almond37 [142]
24% of 80 is 19.2

120% of 70 is 84

20% of 150 is 30

0.8% of 150 is 1.2

120% of 85 is 102
3 0
3 years ago
Read 2 more answers
May someone please help me with this :)
adoni [48]

Answer:

24

Step-by-step explanation:

6+8=14 14+10=24

4 0
3 years ago
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