The null hypothesis corresponds to the position of the defendant: just as he is presumed to be innocent until proven guilty, so is the null hypothesis presumed to be true until the data provide convincing evidence against it.
Type I Error (α)
• Rejects the null hypothesis when it is true
• The probability of making Type I error is represented by α
(also known as a "false positive")
In terms of the courtroom example, a type I error corresponds to convicting an innocent defendant.
Type II Error (β)
• Fails to Reject the null hypothesis when it false
• The probability of making Type II error is represented by β
(also known as a "false negative" )
The alternative hypothesis corresponds to the position against the defendant.
In terms of the courtroom example, a type II error corresponds to acquitting a criminal.
The null hypothesis corresponds to the position of the defendant: just as he is presumed to be innocent until proven guilty, so is the null hypothesis presumed to be true until the data provide convincing evidence against it.
Type I Error (α)
• Rejects the null hypothesis when it is true
• The probability of making Type I error is represented by α
(also known as a "false positive")
In terms of the courtroom example, a type I error corresponds to convicting an innocent defendant.
Type II Error (β)
• Fails to Reject the null hypothesis when it false
• The probability of making Type II error is represented by β
(also known as a "false negative" )
The alternative hypothesis corresponds to the position against the defendant.
In terms of the courtroom example, a type II error corresponds to acquitting a criminal.
| status | not learned | measured difficulty | 37% [default] | last interval [days] | |||
|---|---|---|---|---|---|---|---|
| repetition number in this series | 0 | memorised on | scheduled repetition | ||||
| scheduled repetition interval | last repetition or drill |