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3 years ago

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Pedro thinks that he has a special relationship with the number 4. in particular, pedro thinks that he would roll a 4 with a fai

r 6-sided die more often than you'd expect by chance alone. suppose p is the true proportion of the time pedro will roll a 4.

1 answer:

Butoxors [25]3 years ago

3 0

Uh not sure what I’m supposed to answer but the probability is that he will roll a 4 1/6 times

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He table shows the number of bathrooms in some selected houses and apartments.

lakkis [162]

Percent is amount/ total #×100
44+18= 62 which is the total amount of apartments
44/62 have 1 bathroom 44/62×100=71%
18/62 has 2 bathrooms = 18/62×100=29%

6 0

4 years ago

Read 2 more answers

How many times can 20 go into 243

Setler [38]

Answer:12 times with a remainder of 3

Step-by-step explanation:

First see how many times can 20 go into 24 which is 1 then subtract 24 from 20 and you get 4 bring down the 3 then see how many times will 20 go into 43 which is 2 times then you get a remainder of 3

6 0

4 years ago

Need answer for this please

lys-0071 [83]

Answer:

(x+4)^2 = 9

Step-by-step explanation:

Re-write the equation as x^2+8x+7 = 0. We know x^2+8x is (x+4)^2 = x^2+8x+16, so we add 16 to both sides.

x^2+8x+16=-7+16

(x+4)^2 = 9

8 0

3 years ago

Write the equation of a line perpendicular to the line 2x - 5y = 12 that goes through the point (-6, 9). Put your final answer i

kodGreya [7K]

It would be one over one or 2.5 over six

8 0

4 years ago

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