Biostats... Flashcards
Define a type I error
Rejecting the null hypothesis, when in fact, it is true.
Define a type II error
Failing to reject the null hypothesis, when in fact, it is false.
Convicting a person, who in reality, did not commit the crime.
Type I error
Aquitting a person, who in reality, did commit a crime.
Type II error
What does alpha represent?
The probability of a type I error
What is the power of the test?
The probability of rejecting the null hypothesis given that it is false
An estimated range of values which is likely to include an unknown population parameter
Confidence interval
If the p-value is less than 0.5 this is considered (blank)
Statistically significant
If the number 0 is not in the confidence interval, what does this imply?
A nonzero change in the data set over time
standard cutoff such that all p-values less than the cutoff result in rejection of the null
Alpha level
If you choose a small alpha value, are type II errors common or uncommon?
Common! If you choose a larger alpha value, type II errors are less common.
