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Marrrta [24]
3 years ago
10

Based on the model ân(11551155â,8989â) describing steerâ weights, what are the cutoff values for âa) the highestâ 10% of theâ we

ights? âb) the lowestâ 20% of theâ weights? âc) the middleâ 40% of theâ weights?
Mathematics
1 answer:
cestrela7 [59]3 years ago
8 0
I cant understand this

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Write a unit rate for each statement c) 13 bottles of juice for $3.49
Klio2033 [76]

Answer:

12 miles

Step-by-step explanation:

30 miles÷2.5 hours

30 miles ÷2.5

2.5 hours ÷2.5

12 miles = 1 hour

12 miles per hour

4 0
3 years ago
If you're looking for a sign to not ky.s today this is it
BlackZzzverrR [31]

Answer:

i am not loved. you do not love me. you dont know me. i am a burden. i do not make the world better. i make it worse. everyone hates me. i will die now.

Step-by-step explanation:

6 0
3 years ago
Pls help me BRAINLIEST i rlly dont know how to do it
Vera_Pavlovna [14]
20% of basketball players are taller than 82 inches.
6 0
3 years ago
Prove or give a counterexample:
ozzi

Answer:

See proof below.

Step-by-step explanation:

True

For this case we need to use the following theorem "If v_1, v_2,....v_k are eigenvectors of an nxn matrix A and the associated eigenvalues \lambda_1, \lambda_2,...,\lambda_k are distinct, then v_i's are linearly independent". Now we can proof the statement like this:

Proof

Let A a nxn matrix and we can assume that A has n distinct real eingenvalues let's say \lambda_1, \lambda_2, ....,\lambda_n

From definition of eigenvector for each one \lambda_i needs to have associated an eigenvector v_i for 1 \leq i \leq n

And using the theorem from before , the n eigenvectors v_1,....,v_n are linearly independent since the \lambda_i 1\leq i \leq n are distinct so then we ensure that A is diagonalizable.

4 0
3 years ago
Advice columnist Ann Landers once asked her readers with children to answer the following question: "If you had it to do over ag
ivanzaharov [21]

Answer:

Option D is correct

Step-by-step explanation:

This is true because people who have been emotionally affected by their children are probably more likely to respond than people who are happy with having children that is why it can be seen that we have a high response of "no"

6 0
3 years ago
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