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tamaranim1 [39]
2 years ago
12

Which measure of variability is the most appropriate for this set of values? OA range OB. interquartile range OC. mean absolute

deviation OD. absolute deviation O E. either interquartile range or mean absolute deviation​

Mathematics
1 answer:
alexandr402 [8]2 years ago
5 0

The most appropriate measure is absolute deviation, as we know absolute deviation can help us gain a more representative notion of spread option (D) is correct.

<h3>What is the standard deviation?</h3>

It is defined as the measure of data disbursement, It gives an idea about how much is the data spread out.

We have data shown in the picture.

As we know, Quartiles or ranges are useful, but they are limited because they skip a lot of data in the group.

For a data set like the one in this question, where the items are close in difference, absolute deviation can help us gain a more representative notion of spread.

Thus, the most appropriate measure is absolute deviation, as we know absolute deviation can help us gain a more representative notion of spread option (D) is correct.

Learn more about the standard deviation here:

brainly.com/question/12402189

#SPJ1

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Deffense [45]

Consider the fraction \dfrac{k+7}{4k+28}.

1. You can see that the denominator 4k+28 can be simplified to expression 4(k+7), because 4k=4·k and 28=4·7, so using the distributive property you can write that 4k+28=4(k+7).

2. Then the initial fraction becomes

\dfrac{k+7}{4k+28}= \dfrac{k+7}{4(k+7)}.

3. The nominator and the denominator have the common divisor k+7, then you can divide top and bottom by k+7:

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4 0
3 years ago
Suppose that prices of a gallon of milk at various stores in one town have a mean of $3.91 with a standard deviation of $0.13. U
zhenek [66]

Answer:

The minimum percentage of stores that sell a gallon of milk for between $3.65 and $4.17 is of 75%.

Step-by-step explanation:

Chebyshev Theorem

The Chebyshev Theorem can also be applied to non-normal distribution. It states that:

At least 75% of the measures are within 2 standard deviations of the mean.

At least 89% of the measures are within 3 standard deviations of the mean.

An in general terms, the percentage of measures within k standard deviations of the mean is given by 100(1 - \frac{1}{k^{2}}).

In this question:

We have a mean of $3.91 and a standard deviation of $0.13.

Using Chebyshev's Theorem, what is the minimum percentage of stores that sell a gallon of milk for between $3.65 and $4.17?

3.65 = 3.91 - 2*0.13

4.17 = 3.91 + 2*0.13

Within 2 standard deviations of the mean, so, by the Chebyshev's Theorem, the minimum percentage of stores that sell a gallon of milk for between $3.65 and $4.17 is of 75%.

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3 years ago
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Answer:

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Step-by-step explanation:

These exponential functions can be written in the form ...

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20. The ratio is 9/3 = 3; the multiplier is 3 (the value of y when x=0), so the function is ...

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Answer:

h(x) = (x + 4)^2 - 2

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Next, we move this latest graph 2 units down.  The resultant function (and answer to this question) is h(x) = (x + 4)^2 - 2

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