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julsineya [31]
3 years ago
9

Solve with solution...no spam answers pls

Mathematics
2 answers:
Agata [3.3K]3 years ago
6 0
<span>Let's analyze Hannah's work, step-by-step, to see if she made any mistakes. 

</span>In Step 1, Hannah wrote \dfrac{d}{dx} (-3+8x) <span> as the sum of two separate derivatives </span>\dfrac{d}{dx}(-3)+ \dfrac{d}{dx} (8x) <span>using the </span><span>sum rule.
</span>
This step is perfectly fine. 

In Step 2, \dfrac{d}{dx}(8x) was kept as it is, and \dfrac{d}{dx}(-3) was rewritten as 0 using the constant rule.Indeed, according to the constant rule, the derivative of a constant number is equal to zero.

This step is perfectly fine. 

In Step 3, \dfrac{d}{dx} (8x)  was rewritten as \dfrac{d}{dx}(8) \dfrac{d}{dx}(x) supposedly using the constant multiple rule.

The problem is that according to the constant multiple rule, \dfrac{d}{dx}(8x)&#10; should be rewritten as 8 \dfrac{d}{dx}(x) and not as \dfrac{d}{dx}(8)\dfrac{d}{dx}(x).  

<span>Therefore, Hannah made a mistake in this step.</span>
djverab [1.8K]3 years ago
6 0
Step 3, it should have been 8*d/dx(x) which leads to

Step 4 = 8*1  which leads to

Step 5 = 8
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katen-ka-za [31]
-7x-3x+2=-8x-8      | combine like terms
-10x+2=-8x-8         | add 8x
-2x+2=-8               | subtract 2
-2x=-10                 | divide by -2
x=5

7 0
2 years ago
Read 2 more answers
Suppose the daily customer volume at a call center has a normal distribution with mean 5,500 and standard deviation 1,000. What
lakkis [162]

Answer:

0.0665 = 6.65% probability that the call center will get between 4,800 and 5,000 calls in a day.

Step-by-step explanation:

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Mean 5,500 and standard deviation 1,000.

This means that \mu = 5500, \sigma = 1000

What is the probability that the call center will get between 4,800 and 5,000 calls in a day?

This is the p-value of Z when X = 5000 subtracted by the p-value of Z when X = 4800. So

X = 5000

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

Z = \frac{5000 - 5500}{1000}

Z = -0.5

Z = -0.5 has a p-value of 0.3085.

X = 4800

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

Z = \frac{4800 - 5500}{1000}

Z = -0.7

Z = -0.7 has a p-value of 0.2420.

0.3085 - 0.2420 = 0.0665

0.0665 = 6.65% probability that the call center will get between 4,800 and 5,000 calls in a day.

4 0
2 years ago
Will give brainliest if you give me the correct answer
Bingel [31]

Answer:

1st question select 2nd blue line and purple line

Step-by-step explanation:

2nd question B

5 0
2 years ago
Read 2 more answers
Help plz. It’s number 6. Thanks
julsineya [31]
A = 1/2 h (a+b)
A / 1/2 h = a + b
A / 1/2 h - b = a

a = A / 1/2 h - b

Hope this helps
7 0
2 years ago
PLEASE HELP ILL GIVE BRAINLEIST
Ede4ka [16]

Answer:

$427.72

Step-by-step explanation:

32/100×$629

=$201.28

$629-$201.28

=$427.72

or

100-32

=68

68/100×$629

=$427.72

6 0
3 years ago
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