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vekshin1
3 years ago
12

Por favor ayúdenme?? A B C D

Mathematics
1 answer:
kifflom [539]3 years ago
5 0

Answer:

ITS B!!! AY

Step-by-step explanation:

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Patrick deposited 6875 into a savings account 17 years ago. The account has an interest rate of 4.9% and the balance is currentl
larisa86 [58]
Nooo thia is not the same thing
6 0
4 years ago
Can Someone help plz
seraphim [82]

i think its 3√3 because that seems like the logical answer to me.

6 0
3 years ago
John wrote that 5+5=10.
Anvisha [2.4K]

By the additive property of equality, the equations John wrote are equivalent.

<h3>Additive property of equality: Determining equivalent equations</h3>

From the question, we are to determine if the equations John wrote are equivalent.

From the given information,

John wrote that

5 + 5 = 10

Then,

He added n to both sides of the equation to get

5 + 5 + n = 10 + n

From the Additive property of equality, we have that

"<em>If we add or subtract the same number to both sides of an equation, the sides remain equal</em>."

Since, John added the same number, n, to both sides of the equation, the equations John wrote are equivalent.

Learn more on Determining equivalent equations here: brainly.com/question/21765596

#SPJ1

8 0
1 year ago
Solve for t<br><br> - 7/4 = 2/5 (t)<br><br> t=
Lena [83]
-7/4:-1.75
2/5:0.4
-1.75=0.4t
-1.75/0.4=t
-4.375=t

Hope I helped you well, have a victorious day!
4 0
3 years ago
Which of the following represents a Type I error for the null and alternative hypotheses H0:μ≤$3,200 and Ha:μ&gt;$3,200, where μ
Nuetrik [128]

Answer:

Option a) Type I error would occur if we reject null hypothesis and conclude that the average amount is greater than $3,200 when in fact the average amount is $3,200 or less.        

Step-by-step explanation:

We are given the following information in the question:

H_{0}: \mu \leq \$3,200\\H_A: \mu > \$3,200

where μ is the average amount of money in a savings account for a person aged 30 to 40.

Type I error:

  • Type I error is also known as a “false positive” and is the error of rejecting a null  hypothesis when it is actually true.
  • In other words, this is the error of accepting an  alternative hypothesis when the results can be  attributed by null hypothesis.
  • A type I error occurs during the hypothesis testing process when a null hypothesis is rejected, even though it is correct and should not be rejected.

Thus, in the above hypothesis type  error will occur when we reject the null hypothesis even when it is true.

Option a) Type I error would occur if we reject null hypothesis and conclude that the average amount is greater than $3,200 when in fact the average amount is $3,200 or less.

3 0
3 years ago
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