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vazorg [7]
3 years ago
11

What is the value of e^ ln^ 7x

Mathematics
2 answers:
goldfiish [28.3K]3 years ago
8 0

Answer:

Step-by-step explanation:

when x is greater than 0

e^{ln(7x) } = 7x

enot [183]3 years ago
3 0
It's 1/7 e 7 x. the seven and the x are exponents.
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(125-x3) X (x-5)<br> ans pls?<br> btw that is (x cube)
Marianna [84]

Answer:

=−x5+5x4+125x2−625x

Step-by-step explanation:

8 0
2 years ago
Jackson bought 555 ounces of raisins for \$4$4dollar sign, 4.
Fynjy0 [20]

Answer:

Part a) The raisins cost $0.8 per ounce

Part b) 1.25 ounces

Step-by-step explanation:

<u><em>The correct question is</em></u>

Jackson bought 5 ounces of raisins for $4 dollars.

a) How much do raisins cost per ounce?

b) How many ounces of raisins can be bought for $1?

Part a)  How much do raisins cost per ounce?

we know that

To find out the unit rate divide the total cost by the total weight

so

\frac{4}{5} =\$0.8\ per\ ounce

therefore

The raisins cost $0.8 per ounce

Part b) How many ounces of raisins can be bought for $1?

we know that

The raisins cost $0.8 per ounce

using proportion

Find out how many ounces of raisins can be bought for $1

Let

x -----> the ounces of raisins

\frac{1}{0.8}=\frac{x}{1}\\\\x= 1.25\ ounces

8 0
3 years ago
Read 2 more answers
I need help... ASAP please
qwelly [4]

Answer:

B

Step-by-step explanation:

because it explains what the graph shows

7 0
3 years ago
Please help me<br><br> (both images are supposed to be together.)
Jobisdone [24]

Answer:

Proportionality,

Step-by-step explanation:

8 0
2 years ago
6.1.3
Nata [24]

Answer:

The requirements that are necessary for a normal probability distribution to be a standard normal probability distribution are <em>µ</em> = 0 and <em>σ</em> = 1.

Step-by-step explanation:

A normal-distribution is an accurate symmetric-distribution of experimental data-values.  

If we create a histogram on data-values that are normally distributed, the figure of columns form a symmetrical bell shape.  

If X \sim N (µ, σ²), then Z=\frac{X-\mu}{\sigma}, is a standard normal variate with mean, E (Z) = 0 and Var (Z) = 1. That is, Z \sim N (0, 1).

The distribution of these z-variates is known as the standard normal distribution.

Thus, the requirements that are necessary for a normal probability distribution to be a standard normal probability distribution are <em>µ</em> = 0 and <em>σ</em> = 1.

8 0
2 years ago
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