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qaws [65]
2 years ago
6

Please help this is due today!!

Mathematics
1 answer:
Lady bird [3.3K]2 years ago
4 0

Answer:

81 grams

Step-by-step explanation:

if you use the calculator by putting in 7 for t in the equation: 100(0.97)^7

then  solve you get 80.79..... a big long decimal. round to the nearest whole number and you get 81

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Evaluate the expression. r = , v = , w = v ⋅ w
FromTheMoon [43]

Answer:

v . w= -13

Step-by-step explanation:

Evaluate the expression: v ⋅ w Given the vectors: r = <8, 1, -6>; v = <6, 7, -3>; w = <-7, 5, 2>

Solution

Given the vectors:

r = <8, 1, -6>

v = <6, 7, -3>

w = <-7, 5, 2>

If you're asking about the dot product.

The dot product is a scalar. It is the sum of the product of the corresponding components.

v.w = (6*-7) + (7*5) + (-3*2)

= -42+35-6

= -13.

6 0
3 years ago
Dyahnzskft - GMEEET C0DE<br>GIRLSSSSSSS❤️❤️❤️❤️​
Anna007 [38]

Answer:

zoin in I am live and thecode is there in my question

7 0
2 years ago
Which does not show a direct variation between x and y
kramer
<span><span>A.      </span>y= 4 / x</span>

Proportionality or variation is state of relationship or correlation between two variables It has two types: direct variation or proportion which states both variables are positively correlation. It is when both the variables increase or decrease together. On the contrary, indirect variation or proportion indicates negative relationship or correlation. Elaborately, the opposite of what happens to direct variation. One increases with the other variables, you got it, decreases. This correlations are important to consider because you can determine and identify how two variables relates with one another. Notice x = y (direct), y=1/x (indirect)



5 0
2 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
What is -3(3y-7)=21-9y
Nina [5.8K]

Answer:

the equation is equivalent, y is any number

Step-by-step explanation:

-3(3y-7) = 21-9y

-9y + 21 = 21 - 9y

-9y = -9y

y=y

any number will satisfy y=y

6 0
3 years ago
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