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Pie
2 years ago
5

Nick has 15 dimes. If he gives Sean one third of the dimes, he will have ____

Mathematics
1 answer:
jarptica [38.1K]2 years ago
5 0
10 or 12 dimes left?
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Sally makes 7 out of every 10 shots she takes during practice. If this pattern were to continue, how many would she make during
Levart [38]

Answer:

21

Step-by-step explanation:

  • 7 for first 10 shots
  • 7 for another 10 shots
  • 7 for last 10 shots
4 0
3 years ago
Read 2 more answers
In the equation b= a-2, which is the independent variable and which is the dependent variable ? Explain???? need help i don't un
Nataliya [291]
A is independent while b is dependent.

This is because b is equal to a decreased by 2. Anytime a changes, then b does as well. B can only change in accordance with a.
7 0
3 years ago
Divide and simplify.
balandron [24]
The last one is the correct one.


8 0
3 years ago
Need help with this one as well I would be very grateful please need help !
hram777 [196]
You are given two x and y pairs: (100,45) and (570,162.5)
First solve for the slope, m.

m = (162.5 - 45) / (570 - 100)
m = 117.5 / 470
m = 0.25

Not only is "m" the slope but it is the rate (dollars per minute) in the question. So it's 25 cents per minute to use the phone.
After imputing "m"  the linear equation looks like this:
y = 0.25x + b

Use either point as (x,y) to solve for the y-intercept "b". I'll use (100,45)

45 = 0.25(100) + b
45 = 25 + b
45 - 25 = b
20 = b

Not only is "b" the y-intercept but it is also always the flat fee added on to linearly increasing cost questions like this.

Final equation is:
y = 0.25x + 20

Part B.) If 939 minutes are used. Just put that in for x and solve for y.

y = 0.25(939) + 20
y = 234.75 + 20
y = 254.75

8 0
3 years ago
Suppose that the weights of 5400 registered female Labrador retrievers in the United States are distributed normally with a mean
Maurinko [17]

Answer:

N= 4543 Labrador retrievers

Step-by-step explanation:

We know that the mean \mu is:

\mu = 62.5

and the standard deviation \sigma is:

\sigma=2.5

The probability that a randomly selected Labrador retriever weighs less than 65 pounds is:

P(X

We calculate the Z-score for X =65

Z = \frac{X-\mu}{\sigma}\\\\Z =\frac{65-62.5}{65}=1

So

P(X

Looking in the table for the standard normal distribution we have to:

P(Z.

Finally the amount N of Labrador retrievers that weigh less than 65 pounds is:

N = P(X

N = 0.8413*5400

N= 4543 Labrador retrievers

6 0
3 years ago
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