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Cerrena [4.2K]
3 years ago
8

What is 67 time 14 plus 57 equals to im doing a test right now

Mathematics
2 answers:
sattari [20]3 years ago
6 0

Answer:

995

Step-by-step explanation:

Llana [10]3 years ago
5 0

Step-by-step explanation:

Answer is 995

I hope it's helpful!!

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One week, Steph worked 20 hours, Marco
garik1379 [7]

Answer: 9

Step-by-step explanation:

Add 20, 12, and 32 together then divide by 7 because it says "One week" and a week is 7 days. So, it should be like 20 +12 + 32= 64

64 / (divided by) 7 = 9

4 0
2 years ago
ASAP ANYONE HELP!!!!!
devlian [24]

Answer:

C

Step-by-step explanation:

x + 6 not hard

6 0
3 years ago
Read 2 more answers
: Ruben put an empty cup underneath a leaking faucet. After 1 1 2 112 hours, Ruben had collected 1 4 14 cup of water. What is th
slamgirl [31]

Answer:

The rate is \frac{1}{6} cups per hour

Step-by-step explanation:

It took the faucet 1 1/2 hours equivalent 3/2 hours to fill 1/4 cup by leaking

We need to find the rate in terms of cups that can be filled by water in 1 hour.

Using unitary method:

it takes \frac{3}{2} h for \frac{1}{4} cup

it will take 1 h for how many cups?

= \frac{1 \times \frac{1}{4} }{\frac{3}{2} }= \frac{2}{4 \times 3}= \frac{2}{12}= \frac{1}{6} cups

Hence, the rate is \frac{1}{6} cups per hour

6 0
3 years ago
Which number is not the same type of number as the others in the list? 5.85, 63.4, 8.52624, 27.5
Darya [45]

8.52624 is not the same as 5.85, 63.4 , and 27.5.

Hope this Helps!!

6 0
3 years ago
Read 2 more answers
The area under a particular normal curve between 6 and 8 is 0.695. A normally distributed variable has the same mean and standar
TiliK225 [7]

Answer:

69.5%

Step-by-step explanation:

A feature of the normal distribution is that this is completely determined by its mean and standard deviation, therefore, if two normal curves have the same mean and standard deviation we can be sure that they are the same normal curve. Then, the probability of getting a value of the normally distributed variable between 6 and 8 is 0.695. In practice we can say that if we get a large sample of observations of the variable, then, the percentage of all possible observations of the variable that lie between 6 and 8 is 100(0.695)% = 69.5%.

4 0
3 years ago
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