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Tanya [424]
3 years ago
14

Check all that apply

Mathematics
2 answers:
EastWind [94]3 years ago
8 0
A and C are the correct answers
Vaselesa [24]3 years ago
7 0

Answer:

A and C

Step-by-step explanation:

idk how to explain but I searched it up?

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Solve. 5x - 5 = 50 A) x = 8 B) x = 9 C) x = 10 D) x = 11
Angelina_Jolie [31]
The answer would be D) x = 11.

Add 5 to both sides (5x = 50 + 5)

Simplify 50 + 5 to 55 (5x = 55)

Divide both sides by 5 (x = 55/5)

Simplify 55/5 to 11 (x = 11)
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3 years ago
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Graph: y – 3 = } (x + 2)
Natalija [7]

Answer:x2 355b.  Hhgguyuy

Step-by-step explanation:

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2 years ago
Collins is working.......
lesya [120]
Let n represent the amount Colin earned on Sunday.

On Sat. he earned n/2; on Sun. he earned n; and on Friday he earned (1/2)(n/2).

Then n/2  +  n  + n/4 = $70

Mult. all terms by 4 to eliminate fractions:

2n + 4n + n = $280

7n = $280  =>  n = $40

Colin earned n/2, or $20, on Saturday; n, or $40, on Sunday; and n/4, or $10, on Friday.

Note that $20 and $40 and $10 add up to $70, as they must.
4 0
3 years ago
gabe goes to the mall. if k is the number of items he bought, the expression 17.55k+27 gives the amount he spent in dollars at o
Natali5045456 [20]

Answer:

68.55

Step-by-step explanation:

8 0
3 years ago
A local university wanted to understand what students prefer to eat during finals. They asked 1000 students, "Do you prefer chic
olga55 [171]

Answer:

P(\text{Pizza}\ |\ \text{Female})=0.225

Step-by-step explanation:

The two-way frequency table is attached below.

We have to calculate the probability of, a person chosen at random prefers pizza given that they are female, i.e P(\text{Pizza}\ |\ \text{female})

This is a conditional probability.

We know that,

P(A\ |\ B)=\dfrac{P(A\ \cap\ B)}{P(B)}

So,

P(\text{Pizza}\ |\ \text{Female})=\dfrac{P(\text{Pizza}\ \cap\ \text{Female)}}{P({\text{Female}})}

From the table,

P(\text{Pizza}\ \cap\ \text{Female)}=\dfrac{119}{1000}

P({\text{Female}})=\dfrac{530}{1000}

Putting the values,

P(\text{Pizza}\ |\ \text{Female})=\dfrac{P(\text{Pizza}\ \cap\ \text{Female)}}{P({\text{Female}})}=\dfrac{\frac{119}{1000}}{\frac{530}{1000}}=0.225

8 0
2 years ago
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