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Aloiza [94]
3 years ago
12

(30 points)

Mathematics
2 answers:
kozerog [31]3 years ago
8 0
A) M = 35N
N(Time) x 35(speed) = M(Distance) 
if it takes 3 hours to drive to the beach driving at 35 miles per hour
35 x 3 = 105miles

lidiya [134]3 years ago
3 0
Velocity = Distance / Time 
so by substitute with the givens in the problem, we have velocity = 35 miles/hr, 
Distance = m, time= n 

Now back to the equation 
35 = m / n 
then m=35n

it's the first answer 
You might be interested in
he number of surface flaws in plastic panels used in the interior of automobiles has a Poisson distribution with a mean of 0.02
Yakvenalex [24]

Answer:

a) 98.01%

b) 13.53\%

c) 27.06%

Step-by-step explanation:

Since a car has 10 square feet of plastic panel, the expected value (mean) for a car to have one flaw is 10*0.02 = 0.2  

If we call P(k) the probability that a car has k flaws then, as P follows a Poisson distribution with mean 0.2,

P(k)= \frac{0.2^ke^{-0.2}}{k!}

a)

In this case, we are looking for P(0)

P(0)= \frac{0.2^0e^{-0.2}}{0!}=e^{-0.2}=0.9801=98.01\%

So, the probability that a car has no flaws is 98.01%

b)

Ten cars have 100 square feet of plastic panel, so now the mean is 100*0.02 = 2 flaws every ten cars.

Now P(k) is the probability that 10 cars have k flaws and  

P(k)= \frac{2^ke^{-2}}{k!}

and  

P(0)= \frac{2^0e^{-2}}{0!}=0.1353=13.53\%

And the probability that 10 cars have no flaws is 13.53%

c)

Here, we are looking for P(1) with P defined as in b)

P(1)= \frac{2^1e^{-2}}{1!}=2e^{-2}=0.2706=27.06\%

Hence, the probability that at most one car has no flaws is 27.06%

6 0
3 years ago
Read 2 more answers
Solve system by elimination <br> 8x-8y=-16<br> -8x-7y=-29
Gnesinka [82]
Add these together.
You get -15y=-45
So y=3

Now plug in to first equation.
8x-8(3)=-16
8x-24=-16
8x=8 so x=1

Check both values in second equation.
-8(1)-7(3)=
-8-21=-29

It works...so x=1, y=3
6 0
3 years ago
What’s the missing factors for these questions?
dem82 [27]

The answer to your question is 57.6

6 0
3 years ago
F(x)=4x+2 and g(x)=4(x−9)+2.<br><br> What transformation occurs from function f to function g?
Luba_88 [7]

Answer:

horizontal translation of 9 units right and 2 units up

Step-by-step explanation:

I think this is right.

4 0
3 years ago
According to the Census Bureau, 3.39 people reside in the typical American household. A sample of 26 households in Arizona retir
Vikki [24]

Answer:

t=\frac{2.73-3.39}{\frac{1.22}{\sqrt{26}}}=-2.758    

df=n-1=26-1=25  

p_v =P(t_{(25)}  

Since the p value is lower than the significance level 0.1 we have enough evidence to reject the null hypothesis, and we can conclude that the true mean is significanlty lower than 3.39 personas at 10% of significance.

Step-by-step explanation:

Data given and notation  

\bar X=2.73 represent the sample mean

s=1.22 represent the sample standard deviation

n=26 sample size  

\mu_o =3.39 represent the value that we want to test

\alpha=0.1 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the true mean is less than 3.39 persons, the system of hypothesis would be:  

Null hypothesis:\mu \geq 3.39  

Alternative hypothesis:\mu < 3.39  

The statistic is given by:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{2.73-3.39}{\frac{1.22}{\sqrt{26}}}=-2.758    

P-value

The degreed of freedom are given by:

df=n-1=26-1=25  

Since is a one sided lower test the p value would be:  

p_v =P(t_{(25)}  

Conclusion  

Since the p value is lower than the significance level 0.1 we have enough evidence to reject the null hypothesis, and we can conclude that the true mean is significanlty lower than 3.39 personas at 10% of significance.

3 0
3 years ago
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