Type 1 and Type 2 errors
type 2 error
Ho: cancer free Ha: cancer tell someone they don't have cancer but they do
type 1 error
Ho: cancer free Ha: cancer tell someone they have cancer but they don't
type 2 error
Ho: good truck of potatoes Ha: less than the normal good amount of potatoes think enough potatoes but really don't have enough
type 1 error
Ho: good truck of potatoes Ha: less than the normal good amount of potatoes think there aren't enough potatoes but there are
significance level
The degree of risk you are willing to take that you will reject the null hypothesis when it is actually true is called ____________.
level of significance
The level of chance or risk that you were willing to take is expressed as when doing hypothesis testing is callled ______________________. It is the *probability* of making a *Type I error*
,01 or ,05 and is denoted by the Greek symbol α (alpha) For example: 0.05 or 5% is referred to as the '5% significance level'
What is the usual level of significance that researchers will use AND how is it denoted?
type 2 error
false negative
type 1 error
false positive
Type 1 error
say the alternative hypothesis is true but it's not
Type 2 error
say the null hypothesis is true when really the alternative hypothesis is true
power + type 2 error
what plus what = 1
Type 2 error
when you fail to reject the null hypothesis when it is false
Type 1 error
when you reject the null hypothesis that is really true
