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anyanavicka [17]
2 years ago
11

Find the variance of 101, 102, 100, 100, 110, 109, 109, 108, 109

Mathematics
1 answer:
Andreyy892 years ago
6 0
101, 102, 100, 100, 110, 109, 109 ,108, 109 average to 105.3



subtracting the mean from each number yields the below-

-4,-3,-5,-5,5,4,4,3,4



Squaring each number gives-

16,9,25,25,16,16,9,16



The average of these numbers is 12.89 to two decimal places, so your variance is 12.89
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Answer:

C

Step-by-step explanation:

you add c to both side which will then make it 7x=k+c then you would divide 7 from both sides leaving you with x=k+c/7. Except 7 will be under the k and c.

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An experiment is carried out 400 times.
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You would expect the outcome to be void 240 times

Step-by-step explanation:

1000 x 0.24

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2 years ago
Suppose the area that can be painted using a single can of spray paint is slightly variable and follows a nearly normal distribu
Svetllana [295]

Answer:

Step-by-step explanation:

Hello!

You have the variable

X: Area that can be painted with a can of spray paint (feet²)

The variable has a normal distribution with mean μ= 25 feet² and standard deviation δ= 3 feet²

since the variable has a normal distribution, you have to convert it to standard normal distribution to be able to use the tabulated accumulated probabilities.

a.

P(X>27)

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Now that you have the corresponding Z value you can look for it in the table, but since tha table has probabilities of P(Z, you have to do the following conervertion:

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b.

There was a sample of 20 cans taken and you need to calculate the probability of painting on average an area of 540 feet².

The sample mean has the same distribution as the variable it is ariginated from, but it's variability is affected by the sample size, so it has a normal distribution with parameners:

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So the Z you have to use to standardize the value of the sample mean is Z=(X[bar]-μ)/(δ/√n)~N(0;1)

To paint 540 feet² using 20 cans you have to paint around 540/20= 27 feet² per can.

c.

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d.

No. If the distribution is skewed and not normal, you cannot use the normal distribution to calculate the probabilities. You could use the central limit theorem to approximate the sampling distribution to normal if the sample size was 30 or grater but this is not the case.

I hope it helps!

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