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blagie [28]
3 years ago
13

A 2-column table with 6 rows. Column 1 is labeled Tables with entries 1, 2, 3, 4, 5, 6. Column 2 is labeled Chairs with entries

6, 12, 18, 24, 30, 36.
Rachel needs two tables for her birthday party. How many chairs will she need?
Mathematics
2 answers:
butalik [34]3 years ago
8 0

Answer:

The answer is 12

Step-by-step explanation:

i got it right

Tomtit [17]3 years ago
3 0

Answer:

the answer is 12

Step-by-step explanation:

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HELP ALGEBRA IS KILLING ME IMAGE IS BELOW
djyliett [7]

Answer:

58240

Step-by-step explanation:

1425 ------ 45600

1820 ------   x

1425*x = 1425x

45600*1820 = 82992000

1425x = 82992000

82992000/1425 = x

58240 = x

6 0
3 years ago
What is the number form of 26.96 million?
Alik [6]
For example:  26 million = 26,000,000 and 0.96 million = 960,000.
Answer:
26.96 million = 26,960,000
Thank you.
4 0
3 years ago
A company has recently been hiring new employees. Today the company has 36% more employees than it did a year ago. If there are
jeka57 [31]
36% of 51,000 is 18,360, so 51,000 - 18,360 = 32,640

The company had 32,640 employees last year

Hope that helps
7 0
3 years ago
Read 2 more answers
The table shows values for functions f(x)and g(x)
sweet-ann [11.9K]

Answer:

x= -1 and x =0

Step-by-step explanation:

all work is shown and pictured

6 0
3 years ago
Read 2 more answers
on the asymptotic behavior of the sample estimates of eigenvalues and eigenvectors of covariance matrices
skelet666 [1.2K]

A complex mathematical topic, the asymptotic behavior of sequences of random variables, or the behavior of indefinitely long sequences of random variables, has significant ramifications for the statistical analysis of data from large samples.

The asymptotic behavior of the sample estimators of the eigenvalues and eigenvectors of covariance matrices is examined in this claim. This work focuses on limited sample size scenarios where the number of accessible observations is comparable in magnitude to the observation dimension rather than usual high sample-size asymptotic .

Under the presumption that both the sample size and the observation dimension go to infinity while their quotient converges to a positive value, the asymptotic behavior of the conventional sample estimates is examined using methods from random matrix theory.

Closed form asymptotic expressions of these estimators are obtained, demonstrating the inconsistency of the conventional sample estimators in these asymptotic conditions, assuming that an asymptotic eigenvalue splitting condition is satisfied.

To learn more about asymptotic behavior visit:brainly.com/question/17767511

#SPJ4

4 0
1 year ago
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