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Stells [14]
3 years ago
6

Conducting numerous, separate statistical analyses increases the chance that one or more of the results appear to be statistical

ly significant, but are actually attributable to random variation or measurement error. The problem is referred to as:
Mathematics
1 answer:
Kobotan [32]3 years ago
6 0

A family-wise inflation of error rate is the <u>increase</u> in the probability that one or more results of a numerous, independently (separately) conducted statistical analyses to become statistically significant, but these results can actually be attributed to random variation or measurement error.

In Statistics, a family-wise inflation of error rate is also referred to as family-wise error rate (FWER) and it can be defined as the probability of making at least one false conclusion or type I errors in numerous, separate statistical analyses or hypothesis tests.

Hence, a family-wise inflation of error rate increases the probability that one or more of the results among groups within an independent data set to be statistically significant, especially due to random variation or measurement error.

Read more: brainly.com/question/22851088

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