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jasenka [17]
2 years ago
11

12. Translate “the sum of 6 and the product of 8 and x” into a mathematical expression

Mathematics
1 answer:
Shalnov [3]2 years ago
4 0

Answer:

6+8x

Step-by-step explanation:

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A typical quadrilateral kite (kinda looks like a diamond) only has 1 line of symmetry 
4 0
2 years ago
Help PLEASE ive been stuck on this forever!
AlekseyPX

Answer:

1/5

Step-by-step explanation:

2/10=1/5

4 0
2 years ago
-|3n| - 2 = 4 <br><br> a. -8 b. -2 c. 3 d. -3
Ber [7]

Answer:

-2

Step-by-step explanation:

-|3n| - 2 = 4

|3n| = -6

3n = -6 or 3n = -(-6)

n = -2 n = 2

Since 2 is not part of the options, -2 is the only correct answer

6 0
2 years ago
PLZ HELP ME
avanturin [10]

Answer:

D

Step-by-step explanation:

Lengths:

WX: 2

XY: 2

WY: sqrt[(4-2)² + (2-4)²]

sqrt(4+4)

4sqrt(2)

W'(8, 16), X'(8, 8), Y'(16, 8)

W'X': 8 --> 4 × 2

X'Y': 8 --> 4 × 2

W'Y': sqrt[(16-8)² + (8-16)²]

sqrt(64 + 64)

8sqrt(2) --> 4 × 2sqrt(2)

D is a dilation with factor 4

5 0
3 years ago
A. Student GPAs: Bob’s z-score z = + 1.71 μ = 2.98 σ = 0.36 b. Weekly work hours: Sarah’s z-score z = + 1.18 μ = 21.6 σ = 7.1 c.
hjlf

Answer:

a) x = \mu +z*\sigma

And replacing we got:

x= 2.98 + 1.71*0.36 = 3.5956

b) x = \mu +z*\sigma

And replacing we got:

x= 21.6 + 1.18*7.1 = 29.978

c) x = \mu -z*\sigma

And replacing we got:

x= 150 - 1.35*40= 96

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Part a

Let X the random variable of interest for this case. We define the z score with the following formula:

z=\frac{x-\mu}{\sigma}

And for this case we know that z = 1.71, \mu = 2.98,\sigma = 0.36

If we solve for x from the z score formula we got:

x = \mu +z*\sigma

And replacing we got:

x= 2.98 + 1.71*0.36 = 3.5956

Part b

Let X the random variable of interest for this case. We define the z score with the following formula:

z=\frac{x-\mu}{\sigma}

And for this case we know that z = 1.18, \mu = 21.6,\sigma = 7.1

If we solve for x from the z score formula we got:

x = \mu +z*\sigma

And replacing we got:

x= 21.6 + 1.18*7.1 = 29.978

Part c

Let X the random variable of interest for this case. We define the z score with the following formula:

z=\frac{x-\mu}{\sigma}

And for this case we know that z = -1.35, \mu = 150,\sigma = 40

If we solve for x from the z score formula we got:

x = \mu -z*\sigma

And replacing we got:

x= 150 - 1.35*40= 96

5 0
2 years ago
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