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PIT_PIT [208]
3 years ago
15

How much money does 32 oz of broccoli cost

Mathematics
1 answer:
igor_vitrenko [27]3 years ago
8 0
Depends on where you’re buying. do you have any more details?
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2 dived 1/3 pls helpppppppppppppp
Advocard [28]
2 / 1/3
You can multiply with the reciprocal
2 x 3/1
= 6
The solution is 6
Hope this helps!
6 0
3 years ago
Read 2 more answers
3x^2 + 2x + 5 = 0
Lyrx [107]

Answer:

Step-by-step explanation:

  3x2−2x−5=0

Let us factorize using the split the middle term method.

On inspection we observe that middle term can be split in two parts whose product is equal to the product of first and third term.

Two terms are −5xand3x

The equation becomes

3x2+3x−5x−5=0, pairing the two and taking out common factors

⇒(3x2+3x)−(5x+5)=0,

don't forget to change the sign of −5 once placed inside the parenthesis.

⇒3x(x+1)−5(x+1)=0

⇒(x+1)(3x−5)=0

Either (x+1)=0 or (3x−5)=0

We obtain x=−1,53

or x=−1,123

3 0
3 years ago
Find the height of the pole if the shadow of a boy 5 ft. 6 in. tall is 2 ft. and the shadow of the pole is 2 yards.
oee [108]
2*2-1/3 yards= 4-2/ yards =14 feet.
THE SHADOW IS HALF THE HEIGHT OF OBJECT, SINCE A 6 FEET BOY CASTS A 3 FEET . SO THE POLE WILL BE TWICE THE LENGTH OF ITS SHADOW. try this
8 0
3 years ago
Hellllllllllllllllllllllllpppppppppppppppppppppppp
Marizza181 [45]

Answer:

A) 200 students

B) 24

C) 46%

D) 46% are driven by car

Step-by-step explanation:

5 0
2 years ago
Describe the relationship between two variables when the correlation coefficient r is one of the following. (a) near –1 strong
zepelin [54]

Answer:

a) strong negative linear correlation.

b) Weak or no linear correlation.

c) strong positive linear correlation.

Step-by-step explanation:

The correlation coefficient r measures the strength and direction (positive or negative) of two variables. The correlation coefficient r is always between -1 and 1. When the coefficient r is negative then the direction of the correlation is downhill (negative) and when it's positive then it's an uphill correlation (positive). Similarly, as the coefficient is closer to -1 or 1 the correlation is stronger, with zero being a non linear relationship.

Now back to the question:

a) Near -1: as we said before, this means an strong negative (-1) linear correlation.

b) Near 0: weak or no linear correlation (we cannot say if its positive or negative because we don't know it it's near zero from the right (positive numbers) or the left (negative numbers)

c) Near 1: strong positive (close to +1) linear correlation

3 0
3 years ago
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