The empirical dominance is appropriate. The data set is quantitative and also the distribution is roughly bell-shaped, so the empirical ascendancy gives better approximates of the location of the monitorings than Chebyshev"s rule.

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The empirical dominion is incorrect. The data collection is quantitative, but the circulation is asymmetric. Therefore, Chebyshev"s dominion offers much better approximates of the area of the monitorings than the empirical ascendancy.

The empirical preeminence is inproper. The data set is quantitative, but the distribution is asymmetric. As such, Chebyshev"s dominance offers better estimates of the area of the observations than the empirical ascendancy.

If the problem for making use of the empirical dominance is met, why must that preeminence be supplied instead of Chebyshev"s rule?

Chebyshev"s rule is a reduced bound on the proportion of data that have the right to be discovered within a details number of traditional deviations from the expect. If the circulation is roughly bell-shaped, the empirical dominion, in general, gives better estimates than Chebyshev"s preeminence.

The manager at a golf course uncovered that the populace suppose size of the holes at the golf courses is 407.6 yd. In this conmessage, is the number 407.6 a parameter or a statistic? Exsimple your answer.

A parameter is a descriptive meacertain for a population, whereas a statistic is a descriptive meacertain for a sample. A populace is an entire team of topics or objects, while a sample is a part of a population.

The intend, median, and also mode are the the majority of crucial steps of center. The intend of a file set is its arithmetic average. The median of a documents collection is the middle value in its ordered list. The mode of a file set is its the majority of typically arising value.

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The conventional deviation is preferable to the range as a meacertain of variation because the conventional deviation takes into account every one of the observations, whereas the variety considers just the biggest and smallest ones.

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