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Rashid [163]
2 years ago
6

Please answer need today.

Mathematics
2 answers:
marissa [1.9K]2 years ago
8 0
I can’t see the paper to good make it close
hoa [83]2 years ago
7 0

Answer:

dghfthbguknftyncdyjvceyjfawru

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Find the range. 83, 71, 62, 86, 90, 95, 61, 60, 87, 72, 95, 74, 82, 54, 99, 62, 78, 76, 84, 92
galina1969 [7]

Answer: 45

Step-by-step explanation: The range is the difference between the greatest number in the data set and the least number in the data set which in this case is 99 - 54 or 45. So the range of this data set is 45.

6 0
3 years ago
Read 2 more answers
2^3 + 3(9-5) plz help
Romashka [77]

Answer:

The answer is 20

Step-by-step explanation:

6 0
2 years ago
Help pleaseeeeeee!!!!!!
Archy [21]

Answer:

5x + 100

Step-by-step explanation:

(2x + 6) x 2 = 4x + 12

14x + 8 - 4x + 12 =

10x + 20 / 2 =

5x + 100

Hope that helps!

3 0
3 years ago
HELP NEEDED QUICK<br><br> Find the measure of the missing angles.<br> 103°<br> f<br> е<br> d =
Reika [66]

Answer:

77 degrees and 90 degrees

The angle d is shown as 90 by the perfect right angle. The angle e has to equal 180 when added to f. So 180-103=77.

3 0
3 years ago
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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