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-Dominant- [34]
3 years ago
15

A new string is chosen and knotted with all the other strings to create a second row. This process is repeated until there are e

nough rows to make a bracelet to fit around your friend's wrist. Are the number of knots proportional to the number of rows? Explain your reasoning.
Mathematics
1 answer:
NeX [460]3 years ago
8 0

Answer:

Yes, the number of knots is proportional to the number of rows.

Step-by-step explanation:

The number of knots is proportional to the number of rows, because whenever there is a new row then it implies that there is new knot.

Meaning, as the number of rows increases, the number or knots increases. This is a proportional relationship.

You might be interested in
-2/5x - 5 = -25<br><br> solve X QUICKKKKLY
cricket20 [7]

Answer:

50

Step-by-step explanation:

add 5 to -25 to get -2/5x by itself.

4 0
3 years ago
Two friends live more than 9 blocks away
monitta
So they move in together to be closer to each
5 0
3 years ago
A town has two malls. 62% of the town’s residents shop at Willow Creek Mall. 73% of the residents shop at Two Harbors Mall. 48%
alekssr [168]
I believe the correct answer is A. 0.87
  On any given day, the probability that a person chosen at random will visit either Willow Creek or Two Harbors is <span>0.87

How did I get this?
 62% = 0.62    73% = 0.73   48% = 0.48
 
( 0.62 + 0.73 ) - 0.48
  *Sorry had to correct it I did the math again and got 0.87*</span>
6 0
3 years ago
What percent of 140 is 50?​
Inessa [10]

Answer:

35.71%

Step-by-step explanation:

50:140*100 =

(50*100):140 =

5000:140 = 35.71

4 0
2 years ago
Read 2 more answers
The American Community Survey showed that residents of New York City have the longest travel times to get to work compared to re
LiRa [457]

Answer:

The probability it will take a resident of the city between 17.24 and 42.13 minutes to travel to work is 0.3046.

Step-by-step explanation:

The random variable <em>X</em> can be defined as the travel times to get to work.

The expected travel time is, <em>μ</em> = 38.3 minutes.

The distribution of random variable <em>X</em> can be defined as the distribution of time interval between which a person reaches their work place at a constant average rate.

This implies that <em>X</em> follows an Exponential distribution with parameter, \lambda=\frac{1}{\mu}=\frac{1}{38.3}.

The probability density function of <em>X</em> is:

f_{X}(x)=\lambda e^{-\lambda x};\ x\geq 0

Compute the probability it will take a resident of the city between 17.24 and 42.13 minutes to travel to work as follows:

P(17.24\leq X\leq 42.13)=\int\limits^{42.13}_{17.24}{\frac{1}{38.3} e^{-x/38.3}}}\, dx

                                   =\frac{1}{38.3}\times \int\limits^{42.13}_{17.24}{ e^{-x/38.3}}}\, dx

                                   =\frac{1}{38.3}\times| \frac{e^{-x/38.3}}{-1/38.3}}|^{42.13}_{17.24}\\

                                   =-e^{42.13/38.3}+e^{17.34/38.3}\\=-0.3329+0.6375\\=0.3046

Thus, the probability it will take a resident of the city between 17.24 and 42.13 minutes to travel to work is 0.3046.

6 0
3 years ago
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