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Ludmilka [50]
3 years ago
9

What is 9+10? Ughhhhhhhh ~_~ just take the points

Mathematics
2 answers:
icang [17]3 years ago
8 0

Answer:

21

Step-by-step explanation:

cupoosta [38]3 years ago
7 0
19 :)))))))))))))))))))
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Given the following table, determine the missing value.
sergeinik [125]
We know that
Based on the table
Percent%=[1-Decay factor]*100%
so

for decay factor=0.98
Percent%=[1-0.98]*100%----> 2%

for decay factor=0.50
Percent%=[1-0.50]*100%---->50 %

for decay factor=0.64
Percent%=[1-0.64]*100%----> 36%

for decay factor=0.23
Percent%=[1-0.23]*100%----> 77%

therefore

the answer is
36%

6 0
3 years ago
Please help I will give out brainliest
Licemer1 [7]

Answer:

Step-by-step explanation:

Our function is : 3x²-3x-1

  • 3x²-3x+2=2
  • 3x²-3x-1+3=2
  • 3x²-3x-1= -1
  • the number that gives us -1 is 1 (from the graph)

so x is 1

  • 3x²-3x-1= x+1  ⇒3x²-4x-2 = 0
  • Δ(the dicriminant)= (-4)²-4*3*(-2)= 16+24 =40
  • two solution x and y
  • x= (4-√40)/6 and y= (4+√40)/6
  • x= -0.38 and y = 1.7
  • so the estimations are -0.38 and 1.7

6 0
3 years ago
Malia is on a road trip. During the first five minutes of Malia's trips he sees 18 cars and 6 trucks. Assuming this ratio of car
Colt1911 [192]
If you divide 18 and 6 you will get three so three times 1254 equals 3,762 card that he saw
6 0
3 years ago
Read 2 more answers
Divide 4 over 5 ÷ 1 over 10 = ___Divide 4 over 5 ÷ 1 over 10 = ____.
Alex777 [14]
4/5 divided by 1/10 is 8 the answer is 8
6 0
3 years ago
The following six independent length measurements were made (in feet) for a line: 736.352, 736.363, 736.375, 736.324, 736.358, a
horrorfan [7]

Answer:

Assuming population data

\sigma = \sqrt{0.000354}=0.0188

Assuming sample data

s = \sqrt{0.000425}=0.0206

Step-by-step explanation:

For this case we have the following data given:

736.352, 736.363, 736.375, 736.324, 736.358, and 736.383.

The first step in order to calculate the standard deviation is calculate the mean.

Assuming population data

\mu = \frac{\sum_{i=1}^6 X_i}{6}

The value for the mean would be:

\mu = \frac{736.352+736.363+736.375+736.324+736.358+736.383}{6}=736.359

And the population variance would be given by:

\sigma^2 = \frac{\sum_{i=1}^6 (x_i-\bar x)}{6}

And we got \sigma^2 =0.000354

And the deviation would be just the square root of the variance:

\sigma = \sqrt{0.000354}=0.0188

Assuming sample data

\bar X = \frac{\sum_{i=1}^6 X_i}{6}

The value for the mean would be:

\bar X = \frac{736.352+736.363+736.375+736.324+736.358+736.383}{6}=736.359

And the population variance would be given by:

s^2 = \frac{\sum_{i=1}^6 (x_i-\bar x)}{6-1}

And we got s^2 =0.000425

And the deviation would be just the square root of the variance:

s = \sqrt{0.000425}=0.0206

6 0
3 years ago
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