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3 years ago

When might the inter-quartile range be better for describing a data set than the range?

Mathematics

2 answers:

g100num [7]3 years ago

6 0

Answer: If the data has outliers

Step-by-step explanation:

The range is defined as the difference between the maximum and minimum data values in a data set. It give the estimate of the spread of the data.

The interquartile range in statistics is defined as the difference between the first and the third quartiles. It also gives the estimate of the spread of the data.

But if a data has outliers then it might not give a true estimation of the spread of data. Then the interquartile range would be better for describing the spread of a data set than the range because in ineterquartile range we exclude the outliers so that the interquartile range works .

Bess [88]3 years ago

5 0

If the data has outliers

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blondinia [14]

Answer:

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Step-by-step explanation:

To calculate the slope of a line, you need to find how much the line rises over a given amount of run. When the line goes from -4 to 0 on the x axis, it goes from 3 to 0 on the y axis. Therefore, 3/-4=-3/4 or the first option. Hope this helps!

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3 years ago

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nexus9112 [7]

Answer:

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Given expression:

$(6.3*10^{-2}) : (2.1*10^4)$

Simplify it in steps below:

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<u>Used properties:</u>

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Answer:

The required sample size increases.

Step-by-step explanation:

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$M = z*\frac{\sigma}{\sqrt{n}}$

In which z is related to the confidence level(the higher the confidence level the higher z), $\sigma$ is the standard deviation of the population and n is the size of the sample.

In this question:

The confidence level decreases, so z decreases.

For the margin of error to stay the same, the sample size also has to decrease.

The required sample size increases.

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