Type 1: There reall is not an effect (population truth), but you find one (your
ID: 3269259 • Letter: T
Question
Type 1: There reall is not an effect (population truth), but you find one (your decision) in your study.
Type 2: There really is an affect ( population truth), but you don't find one ( your decision) in your study.
There is no significant difference between male and female infants in the age at which they first walk. A pediatrician reviews the age of walking for all infants in her practice and is surprised to find a significant difference between males and females in the age at which they first walked. Given that this result in contrary to actual population fact, what type of error did this study lead to- Type 1 or Type 2? explain your answer.
Explanation / Answer
This is a type 1 error. The pediatrician finds a significant difference between males and females in the age at which they first walked but in reality there is no significant difference between male and female infants in the age at which they first walk.
This is similar to the case
There reall is not an effect ( there is no significant difference between male and female infants in the age at which they first walk ), but you find one ( decision of the pediatrician in which he finds a significant difference between males and females in the age at which they first walked) in your study.
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