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Given f(x)=2x+3 find x=9 show your work

Allushta [10]

Answer:

f(9) =21

Step-by-step explanation:

I will assume you want to find f(9) when x=9

Let x=9

f(9) = 2(9) +3

= 18+3

=21

f(9) =21

7 0

3 years ago

Convert from radians to degrees. Show all work. You can type pi for the symbol 7/12 pi

mariarad [96]

Answer:

The answer is $\frac{7\pi }{12}^{c}=105^{0}$

Step-by-step explanation:

The expression is

$\frac{7\pi }{12}^{c}\\= \frac{7\pi }{12}*\frac{180}{\pi }^{0} \,;[1^{c}=\frac{180}{\pi}^{0}]\\=7*15\\=105^{0}$

Hope you have understood this....

pls mark my answer as the brainliest

8 0

2 years ago

Sydney is cutting the crust from the edges of her sandwich. The dimensions, in centimeters, of the sandwich is shown.

UNO [17]

I can’t see the format it’s not showing up

3 0

2 years ago

Read 2 more answers

An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed, with mean equ

kompoz [17]

Answer:

0.62% probability that a random sample of 16 bulbs will have an average life of less than 775 hours.

Step-by-step explanation:

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 $\frac{\sigma}{\sqrt{n}}$

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.

In this problem, we have that:

$\mu = 800, \sigma = 40, n = 16, s = \frac{40}{\sqrt{16}} = 10$