Differences between alfa significance level and P value
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Summary: Usually health professionals and people with little knowledge of statistics when
involved with quantitative research they are faced to make statistical techniques to fulfill the
data analysis resulting from a previous data collection. Generally they state hypothesis and later
the information analysis can support the evidence in favor or against such hypothesis. In that point
commonly they are faced to confusion when they try to interpret p value and type I error. The
concept of p value and significance level will be approached in this paper and the difference among
them will be cleared. Key words: Type I error. Type II error. P value. Null hypothesis. Statistical
of test.
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