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dmitriy555 [2]
2 years ago
10

Find the measure of angle x in the figure below:

Mathematics
2 answers:
Len [333]2 years ago
7 0

Answer:

130

Step-by-step explanation:

i know this for a fact

Lostsunrise [7]2 years ago
3 0

Answer:

its 130

Step-by-step explanation:

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the ticket booth at a school play sells 140 adult tickets and 210 student tickets. find the ratio of adults to students write yo
julsineya [31]

ratio of adults to students can be written as a fraction


adult tickets / student tickets

140/210 can be simplified to 14/21

14/21 can be simplifed to 2/3

6 0
3 years ago
Read 2 more answers
A stool of ribbon holds 6.75 meters.A craft club buys 21 stools. What is the total cost if the ribbon sells for $2 per meter.
OLEGan [10]

283.5

So you multiply 6.75 by 21 stools to find the total number of meters. Then you multiply that by 2.

7 0
3 years ago
What is the X-INTERCEPT (x, 0) of the equation x - 3y = 7
BabaBlast [244]

Answer:

7

Step-by-step explanation:

When finding the x intercept you replace the y with 0 leaving only x=7

8 0
2 years ago
Read 2 more answers
2. The following triangle, ∆, has angle measures as shown.
klio [65]

Answer:

x=29. Angle C= 93

Step-by-step explanation:

3(x+2)= 3x+6.

3x+6+52+35= 3x+93.

180-93=87.

87/3= 29. So that means x=29.

for proof you can do 3(29)+93 and you'll get 180.

For angle C; 3(29+2)= 3x31. 31x3= 93.  

Angle C= 93 degrees.

6 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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