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k0ka [10]
3 years ago
13

PLEASE HELP‼️

Mathematics
1 answer:
frozen [14]3 years ago
8 0

Answer:

128 fl oz

Step-by-step explanation:

There are 16 cups in a gallon.  8 oz in a cup.  16 x 8 = 128 oz for a gallon

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PLEASE PLEASE HELPP <3 GIVING BRAINLIEST TO THE CORRECT ANSWER
vesna_86 [32]

Answer:

X is less than  11/4

X< 11/4

Step-by-step explanation:

~ Plz hit the crown~

~ Thank You~

5 0
3 years ago
Read 2 more answers
One day, a person went to a horse racing area. Instead of counting the number of humans an horses, he conuted 74 heads and 196 l
taurus [48]
X = the number of humans and y = the number of horses.

x+y=74
2x+4y=196

Because the number of humans and horses together is 74, and the total number of legs (2 per every human, x, and 4 per every horse, y) is 196.  Then, just use elimination to solve.



So, now that you have y, you can plug it into the first equation to find x:



So, x = 50 and y = 24, so there are 50 humans and 24 horses.
The correct answer is B.

4 0
3 years ago
A researcher wants to know if drinking beer makes a person more attractive to mosquitos. 120 people were recruited to partake in
11Alexandr11 [23.1K]

Answer:

No because both of them mosquito got attracted to them

8 0
3 years ago
Read 2 more answers
ian picked 5 times as many beries as michelle joe picked 7 times as many berries as michelle together they picked 208 berries ho
Levart [38]
Let x represent the amount michelle has.
The equation would be: 5x+7x+x=208
And to solve it you need to combine like terms: 5x+7x+x=13x
13x=208 divide both sides by 13 and you get that x equals to 16.
And this is how much each person got:
Michelle-16
Ian-80
Joe-112.
Plz thank you me. bye :)
6 0
3 years ago
Let Z be a standard normal random variable and calculate the following probabilities, drawing pictures wherever appropriate. (Ro
rusak2 [61]

Answer:

A standard normal distribution refers to a normal distribution with a mean of 0 and a standard deviation of 1. To solve this proble we're going to need the help of a calculator:

(a) P(0 ≤ Z ≤ 2.38) = 0.4913

(b) P(0 ≤ Z ≤ 1) = 0.3413

(c) P(−2.70 ≤ Z ≤ 0) = 0.4965

(d) P(−2.70 ≤ Z ≤ 2.70) = 0.9931

(e) P(Z ≤ 1.62) = 0.9474

(f) P(−1.55 ≤ Z)= 0.9394

(g) P(−1.70 ≤ Z ≤ 2.00) = 0.9327

(h) P(1.62 ≤ Z ≤ 2.50) = 0.0464

(i) P(1.70 ≤ Z) = 0.0445

(j) P(|Z| ≤ 2.50) = 0.9876

All values are verified! ✅

6 0
4 years ago
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