The most important condition for sound conclusions from statistical inference is usually

that the data can be thought of as a random sample from the population of interest.

that the population distribution is exactly Normal.

that the data contain no outliers.

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Mathematics

Gauge Underwood

Yesterday, 22:04

The most important condition for sound conclusions from statistical inference is usually

that the data can be thought of as a random sample from the population of interest.

that the population distribution is exactly Normal.

that the data contain no outliers.

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Answers (1)

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Elliana Everett · Answer 1

that the data can be thought of as a random sample from the population of interest.

Step-by-step explanation:

Sound conclusions can be drawn from a population that is not a Normal distribution.

Outliers can affect some measures of a population; however, not all of them are greatly affected.

However if a sample cannot be thought of as a random sample, we cannot make sound conclusions. This is because if the sample is not random, then there could potentially be bias in the results.

The most important condition for sound conclusions from statistical inference is usuallythat the data can be thought of as a random sample from the population of interest.that the population distribution is exactly Normal.that the data contain no outliers.

The most important condition for sound conclusions from statistical inference is usually

that the data can be thought of as a random sample from the population of interest.

that the population distribution is exactly Normal.

that the data contain no outliers.