All categories

3 years ago

What is the ratio of cups to quarts in a carton of milk?

1 answer:

3 0

With some assistance they can pour 4 quarts into the gallon container to understand that 4 quarts are equal to 1 gallon. Since there are 2 pints in a quart, there are 8 pints in a gallon. Since there are 2 cups to a pint, there are 16 cups in a gallon.

You might be interested in

Find all solutions to the equation.

zhenek [66]

Answer:

x=2

x=-1

Step-by-step explanation:

Refer to attachment.

5 0

2 years ago

How do you find the hypotenuse if you have 2 side lengths one is 40 m and the other is 5 cm ?

Svet_ta [14]

Answer:

40.3 m

Step-by-step explanation:

a²+b²=c²

40²+5²=c²

1600+25= 1625

√1625 = 40.3112

8 0

3 years ago

Find the least length of a rope which can be cut into whole number of pieces of lengths 45cm, 75cm and 81 cm

choli [55]

The least is 45 bc it is less than the other 2

5 0

2 years ago

Describe the mistake that Jude made.

stiks02 [169]

Jude has to simplify the parenthesis first then multiply. She didn't follow PEMDAS

4 0

3 years ago

The amount of soda a dispensing machine pours into a 12-ounce can of soda follows a normal distribution with a mean of 12.30 oun

Ugo [173]

Answer: A) .1587

Step-by-step explanation:

Given : The amount of soda a dispensing machine pours into a 12-ounce can of soda follows a normal distribution with a mean of 12.30 ounces and a standard deviation of 0.20 ounce.

i.e. $\mu=12.30$ and $\sigma=0.20$

Let x denotes the amount of soda in any can.

Every can that has more than 12.50 ounces of soda poured into it must go through a special cleaning process before it can be sold.

Then, the probability that a randomly selected can will need to go through the mentioned process = probability that a randomly selected can has more than 12.50 ounces of soda poured into it =

$P(x>12.50)=1-P(x\leq12.50)\\\\=1-P(\dfrac{x-\mu}{\sigma}\leq\dfrac{12.50-12.30}{0.20})\\\\=1-P(z\leq1)\ \ [\because z=\dfrac{x-\mu}{\sigma}]\\\\=1-0.8413\ \ \ [\text{By z-table}]\\\\=0.1587$

Hence, the required probability= A) 0.1587

6 0

3 years ago