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Lera25 [3.4K]
3 years ago
12

Mary has 25 stickers she wants to get to 73. How many stickers does Mary need?

Mathematics
2 answers:
Strike441 [17]3 years ago
5 0

Answer:

she needs 48

Step-by-step explanation:

Hope this helps

AleksAgata [21]3 years ago
3 0
She needs 48. literally just subtract 73-25 and then she needs 48 stickers so her total can be 73
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x=4

Step-by-step explanation:

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El cuadruple de un numero mas un quinto
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I hope this helps! I'm hoping google translated your question properly, I'm native english speaking
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4 0
3 years ago
In a right triangle, angle φ has a tangent value of 1.40. The side adjacent to angle φ has a length of 9.0 inches. What is the l
charle [14.2K]

Answer:

b) 12.6 inches

Step-by-step explanation:

tangent is the ratio of the side opposite over adjacent, so if we let x= length of the opposite side, 1.40=x/9, x=12.6 inches

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3 years ago
Can i get some help on this question?
galben [10]

Answer:

a. 12.5

Step-by-step explanation:

Scale factor of ∆LMN to ∆XYZ = 2:5

To find length of side ZX, set the ratio of the corresponding sides of interest equal to the scale factor.

Thus:

ZX corresponds to NL = 5

NL:ZX = 2:5

5:ZX = 2:5

5/ZX = 2/5

Cross multiply

5*5 = ZX*2

25 = ZX*2

Divide both sides by 2

25/2 = ZX

12.5 = ZX

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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>$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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